diff --git a/README.md b/README.md
index 8980e2e..8d780cc 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ and are looking for a way to connect it to the world of LLMs!
 ## 🤝 Get involved!
 To stay up to date with the project, please star the repository and watch the
 zulip community chat (free to join) at https://biocypher.zulipchat.com.
-ChatGSE-related discussion happens in the `#chatgse` stream.
+ChatGSE-related discussion happens in the `#biochatter and chatgse` stream.
 
 We are very happy about contributions from the community, large and small!
 If you would like to contribute to the platform's development, please refer to
@@ -36,12 +36,13 @@ files in the discussion
 for things the model can do, such as creating formatted markdown output to
 create mindmaps or other visualisations.
 
-## 📑 Document summarisation / In-context learning
-You can use the document summarisation feature to upload documents and use
-similarity search to inject context into your prompts. The document
-summarisation feature is currently only available on local builds of ChatGSE
-(see below). It requires a connection to a vector database (currently only
-[Milvus](https://milvus.io/) is supported). We follow [these
+## 📑 Retrieval Augmented Generation / In-context learning
+
+You can use the Retrieval Augmented Generation (RAG) feature to upload documents
+and use similarity search to inject context into your prompts. The RAG feature
+is currently only available on local builds of ChatGSE (see below). It requires
+a connection to a vector database (currently only [Milvus](https://milvus.io/)
+is supported). We follow [these
 instructions](https://milvus.io/docs/install_standalone-docker.md) to mount a
 Docker instance on your machine (using the standard ports). We provide a Docker
 compose setup to mount the Milvus containers and the ChatGSE container together:
@@ -146,7 +147,7 @@ configuration similar to this one to your launch.json:
 
 ```
 
-Note that if you want to use the document summarisation feature or other
+Note that if you want to use the Retrieval Augmented Generation feature or other
 connected services, you will still need to start these separately. For the
 vector DB component of the `docker-compose.yml` file, you can do it like so:
 
diff --git a/app.py b/app.py
index fcbf780..06fb69d 100644
--- a/app.py
+++ b/app.py
@@ -90,7 +90,7 @@ def local_css(file_name):
         "bioinformatics method gsea. Here are the data: {df}"
     ),
 }
-DOCSUM_PROMPTS = [
+RAG_PROMPTS = [
     "The user has provided additional background information from scientific "
     "articles.",
     "Take the following statements into account and specifically comment on "
@@ -282,12 +282,12 @@ def chat_box():
         ),
         label_visibility="collapsed",
     )
-    if ss.get("conversation_mode") == "both" and not ss.docsum.used:
+    if ss.get("conversation_mode") == "both" and not ss.rag_agent.used:
         st.warning(
             "You have selected 'data and papers' as the conversation mode, but "
             "have not yet embedded any documents. Prompt injection will only "
             "be performed if you upload at least one document (in the "
-            "'Document Summarisation' tab)."
+            "'Retrieval Augmented Generation' tab)."
         )
 
 
@@ -665,7 +665,7 @@ def app_info():
         function as JSON). Additionally, OpenAI provide a `gpt-3.5-turbo-16k`
         model with increased token limit of 16000 per conversation. This model
         is slightly more expensive, but can be useful for longer conversations,
-        particularly when including the document summarisation / prompt
+        particularly when including the Retrieval Augmented Generation / prompt
         injection feature.
 
         """
@@ -800,23 +800,23 @@ def show_correcting_agent_prompts():
     )
 
 
-def show_docsum_prompts():
+def show_rag_agent_prompts():
     """
-    Prompt engineering panel: document summarisation.
+    Prompt engineering panel: Retrieval Augmented Generation.
     """
     st.markdown(
         "`📎 Assistant`: Here you can edit the prompts used to set up the "
-        "Document Summarisation task. Text passages from any uploaded "
+        "Retrieval Augmented Generation task. Text passages from any uploaded "
         "documents will be passed on to the primary model using these prompts. "
         "The placeholder `{statements}` will be replaced by the text passages. "
         "Upload documents and edit vector database settings in the "
-        "`Document Summarisation` tab."
+        "`Retrieval Augmented Generation` tab."
     )
 
-    for num, msg in enumerate(ss.prompts["docsum_prompts"]):
+    for num, msg in enumerate(ss.prompts["rag_agent_prompts"]):
         field, button = st.columns([4, 1])
         with field:
-            ss.prompts["docsum_prompts"][num] = st.text_area(
+            ss.prompts["rag_agent_prompts"][num] = st.text_area(
                 label=str(num + 1),
                 value=msg,
                 label_visibility="collapsed",
@@ -826,7 +826,7 @@ def show_docsum_prompts():
             st.button(
                 f"Remove prompt {num + 1}",
                 on_click=remove_prompt,
-                args=(ss.prompts["docsum_prompts"], num),
+                args=(ss.prompts["rag_agent_prompts"], num),
                 key=f"remove_prompt_{num}",
                 use_container_width=True,
             )
@@ -834,7 +834,7 @@ def show_docsum_prompts():
     st.button(
         "Add New Prompt",
         on_click=add_prompt,
-        args=(ss.prompts["docsum_prompts"],),
+        args=(ss.prompts["rag_agent_prompts"],),
     )
 
 
@@ -1061,11 +1061,11 @@ def shuffle_messages(l: list, i: int):
     l.append(l.pop(3))
 
 
-def docsum_panel():
+def rag_agent_panel():
     """
 
-    Upload files for document summarisation, one file at a time. Upon upload,
-    document is split and embedded into a connected vector DB using the
+    Upload files for Retrieval Augmented Generation, one file at a time. Upon
+    upload, document is split and embedded into a connected vector DB using the
     `vectorstore.py` module of biochatter. The top k results of similarity
     search of the user's query will be injected into the prompt to the primary
     model (only once per query). The panel displays a file_uploader panel,
@@ -1075,25 +1075,20 @@ def docsum_panel():
 
     """
 
-    if not ss.get("docsum"):
+    if not ss.get("rag_agent"):
+        ss.rag_agent = DocumentEmbedder(
+            use_prompt=False,
+            online=ss.get("online"),
+            api_key=ss.get("openai_api_key"),
+            embedding_collection_name="chatgse_embeddings",
+            metadata_collection_name="chatgse_metadata",
+        )
         if os.getenv("DOCKER_COMPOSE"):
-            ss.docsum = DocumentEmbedder(
-                use_prompt=False,
-                online=ss.get("online"),
-                connection_args={
-                    "host": "milvus-standalone",
-                    "port": "19530",
-                },
-                api_key=ss.get("openai_api_key"),
-            )
+            ss.rag_agent.connect(host="milvus-standalone", port="19530")
         else:
-            ss.docsum = DocumentEmbedder(
-                use_prompt=False,
-                online=ss.get("online"),
-                api_key=ss.get("openai_api_key"),
-            )
+            ss.rag_agent.connect(host="localhost", port="19530")
 
-    disabled = ss.online or (not ss.docsum.use_prompt)
+    disabled = ss.online or (not ss.rag_agent.use_prompt)
 
     uploader, settings = st.columns(2)
 
@@ -1113,7 +1108,7 @@ def docsum_panel():
                 "This feature is currently not available in online mode, as it "
                 "requires connection to a vector database. Please run the app "
                 "locally to use this feature. See the [README]("
-                "https://github.com/biocypher/ChatGSE#-document-summarisation--in-context-learning)"
+                "https://github.com/biocypher/ChatGSE#-retrieval-augmented-generation--in-context-learning)"
                 " for more info."
             )
         st.info(
@@ -1123,7 +1118,7 @@ def docsum_panel():
         )
         with st.form("Upload Document", clear_on_submit=True):
             uploaded_file = st.file_uploader(
-                "Upload a document for summarisation",
+                "Upload a document for Retrieval Augmented Generation",
                 type=["txt", "pdf"],
                 label_visibility="collapsed",
                 disabled=disabled,
@@ -1144,20 +1139,18 @@ def docsum_panel():
                     doc = reader.document_from_pdf(val)
                 elif uploaded_file.type == "text/plain":
                     doc = reader.document_from_txt(val)
-                ss.docsum.set_document(doc)
-                ss.docsum.split_document()
                 try:
-                    ss.docsum.store_embeddings()
+                    ss.rag_agent.save_document(doc)
                     ss.upload_success = True
-                    if not ss.docsum.used:
-                        ss.docsum.used = True
+                    if not ss.rag_agent.used:
+                        ss.rag_agent.used = True
                         ss.first_document_uploaded = True
                 except MilvusException as e:
                     st.error(
                         "An error occurred while saving the embeddings. Please "
                         "check if Milvus is running. For information on the "
                         "Docker Compose setup, see the [README]("
-                        "https://github.com/biocypher/ChatGSE#-document-summarisation--in-context-learning)."
+                        "https://github.com/biocypher/ChatGSE#-retrieval-augmented-generation--in-context-learning)."
                     )
                     st.error(e)
                     return
@@ -1195,17 +1188,17 @@ def docsum_panel():
             "🔧 Settings"
         )
 
-        # checkbox for whether to use the docsum prompt
+        # checkbox for whether to use the rag_agent prompt
         st.checkbox(
-            "Use document summarisation to inject search results into the prompt",
-            value=ss.docsum.use_prompt,
-            on_change=toggle_docsum_prompt,
+            "Use Retrieval Augmented Generation to inject search results into the prompt",
+            value=ss.rag_agent.use_prompt,
+            on_change=toggle_rag_agent_prompt,
             disabled=ss.online,
         )
 
         st.checkbox(
             "Split by characters (instead of tokens)",
-            ss.docsum.split_by_characters,
+            ss.rag_agent.split_by_characters,
             on_change=toggle_split_by_characters,
             disabled=disabled,
             help=(
@@ -1215,7 +1208,7 @@ def docsum_panel():
             ),
         )
 
-        ss.docsum.chunk_size = st.slider(
+        ss.rag_agent.chunk_size = st.slider(
             label=(
                 "Chunk size: how large should the embedded text fragments be?"
             ),
@@ -1232,7 +1225,7 @@ def docsum_panel():
                 "recommended to set it before uploading documents."
             ),
         )
-        ss.docsum.chunk_overlap = st.slider(
+        ss.rag_agent.chunk_overlap = st.slider(
             label="Overlap: should the chunks overlap, and by how much?",
             min_value=0,
             max_value=1000,
@@ -1240,13 +1233,13 @@ def docsum_panel():
             step=1,
             disabled=disabled,
         )
-        # ss.docsum.separators = st.multiselect(
+        # ss.rag_agent.separators = st.multiselect(
         #     "Separators (defaults: new line, comma, space)",
-        #     options=ss.docsum.separators,
-        #     default=ss.docsum.separators,
+        #     options=ss.rag_agent.separators,
+        #     default=ss.rag_agent.separators,
         #     disabled=disabled,
         # )
-        ss.docsum.n_results = st.slider(
+        ss.rag_agent.n_results = st.slider(
             label=(
                 "Number of results: how many chunks should be used to "
                 "supplement the prompt?"
@@ -1282,14 +1275,14 @@ def docsum_panel():
             )
 
 
-def toggle_docsum_prompt():
-    """Toggles the use of the docsum prompt."""
-    ss.docsum.use_prompt = not ss.docsum.use_prompt
+def toggle_rag_agent_prompt():
+    """Toggles the use of the rag_agent prompt."""
+    ss.rag_agent.use_prompt = not ss.rag_agent.use_prompt
 
 
 def toggle_split_by_characters():
     """Toggles the splitting of the input text by characters vs tokens."""
-    ss.docsum.split_by_characters = not ss.docsum.split_by_characters
+    ss.rag_agent.split_by_characters = not ss.rag_agent.split_by_characters
 
 
 def correcting_agent_panel():
@@ -1749,7 +1742,7 @@ def _startup():
         "primary_model_prompts": PRIMARY_MODEL_PROMPTS,
         "correcting_agent_prompts": CORRECTING_AGENT_PROMPTS,
         "tool_prompts": TOOL_PROMPTS,
-        "docsum_prompts": DOCSUM_PROMPTS,
+        "rag_agent_prompts": RAG_PROMPTS,
         "schema_prompts": SCHEMA_PROMPTS,
     }
     ss.correct = True
@@ -1804,9 +1797,9 @@ def mode_select():
 
     if ss.online:
         st.info(
-            "Document summarisation is currently not available in the "
+            "Retrieval Augmented Generation is currently not available in the "
             "online version. Please use the Docker Compose setup in our "
-            "[GitHub repository](https://github.com/biocypher/ChatGSE#-document-summarisation--in-context-learning) "
+            "[GitHub repository](https://github.com/biocypher/ChatGSE#-retrieval-augmented-generation--in-context-learning) "
             "to run ChatGSE locally and use this feature."
         )
 
@@ -1826,8 +1819,8 @@ def set_both_mode():
     ss.cg._ask_for_context("data and papers")
 
 
-def waiting_for_docsum():
-    st.info("Use the 'Document Summarisation' tab to embed documents.")
+def waiting_for_rag_agent():
+    st.info("Use the 'Retrieval Augmented Generation' tab to embed documents.")
 
 
 def main():
@@ -1859,16 +1852,16 @@ def main():
             "total_tokens": 0,
         }
 
-    # UPDATE DOCSUM
-    if ss.get("docsum"):
-        if ss.docsum.use_prompt:
-            ss.conversation.set_docsum(ss.docsum)
+    # UPDATE RAG AGENT
+    if ss.get("rag_agent"):
+        if ss.rag_agent.use_prompt:
+            ss.conversation.set_rag_agent(ss.rag_agent)
 
     # TABS
     (
         chat_tab,
         prompts_tab,
-        docsum_tab,
+        rag_agent_tab,
         correct_tab,
         annot_tab,
         exp_design_tab,
@@ -1878,7 +1871,7 @@ def main():
         [
             "Chat",
             "Prompt Engineering",
-            "Document Summarisation",
+            "Retrieval Augmented Generation",
             "Correcting Agent",
             "Cell Type Annotation",
             "Experimental Design",
@@ -1904,7 +1897,7 @@ def main():
         cg._display_history()
 
         # CHAT BOT LOGIC
-        if ss.input or ss.mode == "waiting_for_docsum":
+        if ss.input or ss.mode == "waiting_for_rag_agent":
             if ss.mode == "getting_key":
                 ss.mode = cg._get_api_key(ss.input)
                 ss.show_intro = False
@@ -1921,22 +1914,29 @@ def main():
                 ss.show_intro = False
 
             elif ss.mode == "getting_context":
+                # TODO: Sometimes the app goes from mode select straight into
+                # context, and then obviously the conversation mode is not set
+                # yet. It only happens if this is the first break point. If
+                # something is debugged before, or if something is pressed in
+                # the app before entering the name (such as one of the panels at
+                # the top), it works fine.
+
                 cg._get_context()
                 if ss.conversation_mode in ["data", "both"]:
                     ss.mode = cg._ask_for_data_input()
                 else:
-                    if ss.get("docsum"):
-                        if not ss.docsum.used:
+                    if ss.get("rag_agent"):
+                        if not ss.rag_agent.used:
                             st.write("Please embed at least one document.")
-                            ss.mode = "waiting_for_docsum"
+                            ss.mode = "waiting_for_rag_agent"
                         else:
                             ss.mode = cg._start_chat()
                     else:
                         st.write("Please embed at least one document.")
-                        ss.mode = "waiting_for_docsum"
+                        ss.mode = "waiting_for_rag_agent"
 
-            elif ss.mode == "waiting_for_docsum":
-                if ss.docsum.used:
+            elif ss.mode == "waiting_for_rag_agent":
+                if ss.rag_agent.used:
                     ss.mode = cg._start_chat()
 
             elif ss.mode == "getting_data_file_input":
@@ -2039,8 +2039,8 @@ def main():
         elif ss.mode in ["getting_name", "getting_context"]:
             chat_line()
             autofocus_line()
-        elif ss.mode == "waiting_for_docsum":
-            waiting_for_docsum()
+        elif ss.mode == "waiting_for_rag_agent":
+            waiting_for_rag_agent()
         elif "demo" in ss.mode:
             demo_next_button()
         else:
@@ -2114,7 +2114,7 @@ def main():
                     "Primary Model",
                     "Correcting Agent",
                     "Tools",
-                    "Document Summarisation",
+                    "Retrieval Augmented Generation",
                 ),
             )
 
@@ -2127,8 +2127,8 @@ def main():
             elif ss.prompts_box == "Tools":
                 show_tool_prompts()
 
-            elif ss.prompts_box == "Document Summarisation":
-                show_docsum_prompts()
+            elif ss.prompts_box == "Retrieval Augmented Generation":
+                show_rag_agent_prompts()
 
     with correct_tab:
         st.markdown(
@@ -2148,14 +2148,14 @@ def main():
         else:
             correcting_agent_panel()
 
-    with docsum_tab:
+    with rag_agent_tab:
         st.markdown(
             "While Large Language Models have access to vast amounts of "
             "knowledge, this knowledge only includes what was present in "
             "their training set, and thus excludes very current research "
             "as well as research articles that are not open access. To "
             "fill in the gaps of the model's knowledge, we include a "
-            "document summarisation approach that stores knowledge from "
+            "Retrieval Augmented Generation approach that stores knowledge from "
             "user-provided documents in a vector database, which can be "
             "used to supplement the model prompt by retrieving the most "
             "relevant contents of the provided documents. This process "
@@ -2164,14 +2164,14 @@ def main():
             "contents."
         )
         if ss.get("openai_api_key"):
-            docsum_panel()
+            rag_agent_panel()
             if ss.get("first_document_uploaded"):
                 ss.first_document_uploaded = False
                 refresh()
         else:
             st.info(
-                "Please enter your OpenAI API key to use the document "
-                "summarisation functionality."
+                "Please enter your OpenAI API key to use the "
+                "Retrieval Augmented Generation functionality."
             )
 
     with genetics_tab:
diff --git a/chatgse/_interface.py b/chatgse/_interface.py
index 0b87a5f..696e9db 100644
--- a/chatgse/_interface.py
+++ b/chatgse/_interface.py
@@ -138,7 +138,7 @@ def set_model(self, model_name: str):
                 prompts=ss.prompts,
                 correct=ss.correct,
                 split_correction=ss.split_correction,
-                docsum=ss.get("docsum"),
+                rag_agent=ss.get("rag_agent"),
                 version=ss.get("openai_api_version"),
                 base=ss.get("openai_api_base"),
             )
@@ -149,7 +149,7 @@ def set_model(self, model_name: str):
                 prompts=ss.prompts,
                 correct=ss.correct,
                 split_correction=ss.split_correction,
-                docsum=ss.get("docsum"),
+                rag_agent=ss.get("rag_agent"),
             )
         elif model_name in HUGGINGFACE_MODELS:
             ss.conversation = BloomConversation(
@@ -157,7 +157,7 @@ def set_model(self, model_name: str):
                 prompts=ss.prompts,
                 correct=ss.correct,
                 split_correction=ss.split_correction,
-                docsum=ss.get("docsum"),
+                rag_agent=ss.get("rag_agent"),
             )
 
     def _check_for_api_key(self, write: bool = True, input: str = None):
diff --git a/poetry.lock b/poetry.lock
index f991005..3ab8e83 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,3 +1,19 @@
+[[package]]
+name = "addict"
+version = "2.4.0"
+description = "Addict is a dictionary whose items can be set using both attribute and item syntax."
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "aiofiles"
+version = "23.2.1"
+description = "File support for asyncio."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "aiohttp"
 version = "3.8.5"
@@ -29,6 +45,29 @@ python-versions = ">=3.7"
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "aliyun-python-sdk-core"
+version = "2.14.0"
+description = "The core module of Aliyun Python SDK."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+cryptography = ">=2.6.0"
+jmespath = ">=0.9.3,<1.0.0"
+
+[[package]]
+name = "aliyun-python-sdk-kms"
+version = "2.16.2"
+description = "The kms module of Aliyun Python sdk."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+aliyun-python-sdk-core = ">=2.11.5"
+
 [[package]]
 name = "altair"
 version = "5.1.1"
@@ -93,16 +132,19 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
 
 [[package]]
 name = "biochatter"
-version = "0.2.1"
+version = "0.3.2"
 description = "Backend library for conversational AI in biomedicine"
 category = "main"
 optional = false
 python-versions = ">=3.10,<3.12"
 
 [package.dependencies]
-langchain = "0.0.331rc2"
+botocore = {version = ">=1.32.5,<2.0.0", optional = true, markers = "extra == \"xinference\""}
+gTTS = {version = ">=2.3.2,<3.0.0", optional = true, markers = "extra == \"podcast\""}
+langchain = "0.0.339"
 nltk = ">=3.8.1,<4.0.0"
 openai = ">=1.1.0,<2.0.0"
+pydantic = "1.10.13"
 pymilvus = "2.2.8"
 pymupdf = ">=1.22.3,<2.0.0"
 redis = ">=4.5.5,<5.0.0"
@@ -110,10 +152,12 @@ retry = ">=0.9.2,<0.10.0"
 stringcase = ">=1.2.0,<2.0.0"
 tiktoken = ">=0.4.0,<0.5.0"
 transformers = ">=4.30.2,<5.0.0"
+xinference = {version = ">=0.6.3,<0.7.0", optional = true, markers = "extra == \"xinference\""}
 
 [package.extras]
 podcast = ["gTTS (>=2.3.2,<3.0.0)"]
 streamlit = ["streamlit (>=1.23.1,<2.0.0)"]
+xinference = ["botocore (>=1.32.5,<2.0.0)", "xinference (>=0.6.3,<0.7.0)"]
 
 [[package]]
 name = "blinker"
@@ -123,6 +167,22 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "botocore"
+version = "1.32.6"
+description = "Low-level, data-driven core of boto 3."
+category = "main"
+optional = false
+python-versions = ">= 3.7"
+
+[package.dependencies]
+jmespath = ">=0.7.1,<2.0.0"
+python-dateutil = ">=2.1,<3.0.0"
+urllib3 = {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""}
+
+[package.extras]
+crt = ["awscrt (==0.19.12)"]
+
 [[package]]
 name = "bump2version"
 version = "1.0.1"
@@ -147,6 +207,17 @@ category = "main"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "cffi"
+version = "1.16.0"
+description = "Foreign Function Interface for Python calling C code."
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+pycparser = "*"
+
 [[package]]
 name = "charset-normalizer"
 version = "3.2.0"
@@ -166,6 +237,14 @@ python-versions = ">=3.7"
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "3.0.0"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -188,6 +267,65 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 [package.extras]
 development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
+[[package]]
+name = "contourpy"
+version = "1.2.0"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+category = "main"
+optional = false
+python-versions = ">=3.9"
+
+[package.dependencies]
+numpy = ">=1.20,<2.0"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
+
+[[package]]
+name = "crcmod"
+version = "1.7"
+description = "CRC Generator"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "cryptography"
+version = "41.0.5"
+description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+cffi = ">=1.12"
+
+[package.extras]
+docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
+docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
+nox = ["nox"]
+pep8test = ["black", "check-sdist", "mypy", "ruff"]
+sdist = ["build"]
+ssh = ["bcrypt (>=3.1.5)"]
+test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test-randomorder = ["pytest-randomly"]
+
+[[package]]
+name = "cycler"
+version = "0.12.1"
+description = "Composable style cycles"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "dataclasses-json"
 version = "0.5.14"
@@ -200,6 +338,45 @@ python-versions = ">=3.7,<3.13"
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
+[[package]]
+name = "datasets"
+version = "2.13.0"
+description = "HuggingFace community-driven open-source library of datasets"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+
+[package.dependencies]
+aiohttp = "*"
+dill = ">=0.3.0,<0.3.7"
+fsspec = {version = ">=2021.11.1", extras = ["http"]}
+huggingface-hub = ">=0.11.0,<1.0.0"
+multiprocess = "*"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=8.0.0"
+pyyaml = ">=5.1"
+requests = ">=2.19.0"
+tqdm = ">=4.62.1"
+xxhash = "*"
+
+[package.extras]
+apache-beam = ["apache-beam (>=2.26.0,<2.44.0)"]
+audio = ["librosa", "soundfile (>=0.12.1)"]
+benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs"]
+jax = ["jax (>=0.2.8,!=0.3.2,<=0.3.25)", "jaxlib (>=0.1.65,<=0.3.25)"]
+metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
+quality = ["black (>=23.1,<24.0)", "pyyaml (>=5.3.1)", "ruff (>=0.0.241)"]
+s3 = ["s3fs"]
+tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+torch = ["torch"]
+vision = ["Pillow (>=6.2.1)"]
+
 [[package]]
 name = "decorator"
 version = "5.1.1"
@@ -208,6 +385,25 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[[package]]
+name = "dill"
+version = "0.3.6"
+description = "serialize all of python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+
 [[package]]
 name = "distro"
 version = "1.8.0"
@@ -216,6 +412,14 @@ category = "main"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "einops"
+version = "0.7.0"
+description = "A new flavour of deep learning operations"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
 [[package]]
 name = "environs"
 version = "9.5.0"
@@ -245,6 +449,32 @@ python-versions = ">=3.7"
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "fastapi"
+version = "0.1.17"
+description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+pydantic = ">=0.17"
+starlette = ">=0.9.7"
+
+[package.extras]
+all = ["aiofiles", "email_validator", "graphene", "itsdangerous", "jinja2", "python-multipart", "pyyaml", "requests", "ujson", "ujson", "uvicorn"]
+dev = ["passlib[bcrypt]", "pyjwt"]
+doc = ["markdown-include", "mkdocs", "mkdocs-material"]
+test = ["black", "email_validator", "isort", "mypy", "pytest (>=4.0.0)", "pytest-cov", "requests"]
+
+[[package]]
+name = "ffmpy"
+version = "0.3.1"
+description = "A simple Python wrapper for ffmpeg"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "filelock"
 version = "3.12.4"
@@ -258,6 +488,28 @@ docs = ["furo (>=2023.7.26)", "sphinx (>=7.1.2)", "sphinx-autodoc-typehints (>=1
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3)", "diff-cover (>=7.7)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=2.1)"]
 typing = ["typing-extensions (>=4.7.1)"]
 
+[[package]]
+name = "fonttools"
+version = "4.45.1"
+description = "Tools to manipulate font files"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.extras]
+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["munkres", "scipy"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=15.1.0)"]
+woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+
 [[package]]
 name = "frozenlist"
 version = "1.4.0"
@@ -274,6 +526,10 @@ category = "main"
 optional = false
 python-versions = ">=3.8"
 
+[package.dependencies]
+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+requests = {version = "*", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -298,6 +554,14 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "gast"
+version = "0.5.4"
+description = "Python AST that abstracts the underlying Python version"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
 [[package]]
 name = "gitdb"
 version = "4.0.10"
@@ -323,6 +587,61 @@ gitdb = ">=4.0.1,<5"
 [package.extras]
 test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-sugar"]
 
+[[package]]
+name = "gradio"
+version = "3.50.2"
+description = "Python library for easily interacting with trained machine learning models"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+aiofiles = ">=22.0,<24.0"
+altair = ">=4.2.0,<6.0"
+fastapi = "*"
+ffmpy = "*"
+gradio-client = "0.6.1"
+httpx = "*"
+huggingface-hub = ">=0.14.0"
+importlib-resources = ">=1.3,<7.0"
+jinja2 = "<4.0"
+markupsafe = ">=2.0,<3.0"
+matplotlib = ">=3.0,<4.0"
+numpy = ">=1.0,<2.0"
+orjson = ">=3.0,<4.0"
+packaging = "*"
+pandas = ">=1.0,<3.0"
+pillow = ">=8.0,<11.0"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<3.0.0"
+pydub = "*"
+python-multipart = "*"
+pyyaml = ">=5.0,<7.0"
+requests = ">=2.0,<3.0"
+semantic-version = ">=2.0,<3.0"
+typing-extensions = ">=4.0,<5.0"
+uvicorn = ">=0.14.0"
+websockets = ">=10.0,<12.0"
+
+[package.extras]
+oauth = ["authlib", "itsdangerous"]
+
+[[package]]
+name = "gradio-client"
+version = "0.6.1"
+description = "Python library for easily interacting with trained machine learning models"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+fsspec = "*"
+httpx = "*"
+huggingface-hub = ">=0.13.0"
+packaging = "*"
+requests = ">=2.0,<3.0"
+typing-extensions = ">=4.0,<5.0"
+websockets = ">=10.0,<12.0"
+
 [[package]]
 name = "greenlet"
 version = "2.0.2"
@@ -346,6 +665,22 @@ python-versions = ">=3.7"
 [package.extras]
 protobuf = ["grpcio-tools (>=1.53.0)"]
 
+[[package]]
+name = "gtts"
+version = "2.4.0"
+description = "gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate text-to-speech API"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+click = ">=7.1,<8.2"
+requests = ">=2.27,<3"
+
+[package.extras]
+docs = ["sphinx", "sphinx-autobuild", "sphinx-click", "sphinx-mdinclude", "sphinx-rtd-theme"]
+tests = ["pytest (>=7.1.3,<7.2.0)", "pytest-cov", "testfixtures"]
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -448,12 +783,16 @@ perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
 [[package]]
-name = "iniconfig"
-version = "2.0.0"
-description = "brain-dead simple config-ini parsing"
+name = "importlib-resources"
+version = "6.1.1"
+description = "Read resources from Python packages"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"]
 
 [[package]]
 name = "jinja2"
@@ -469,6 +808,14 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
+name = "jmespath"
+version = "0.10.0"
+description = "JSON Matching Expressions"
+category = "main"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "joblib"
 version = "1.3.2"
@@ -525,9 +872,17 @@ python-versions = ">=3.8"
 [package.dependencies]
 referencing = ">=0.28.0"
 
+[[package]]
+name = "kiwisolver"
+version = "1.4.5"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "langchain"
-version = "0.0.331rc2"
+version = "0.0.339"
 description = "Building applications with LLMs through composability"
 category = "main"
 optional = false
@@ -539,7 +894,7 @@ anyio = "<4.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">=0.5.7,<0.7"
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.0.52,<0.1.0"
+langsmith = ">=0.0.63,<0.1.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -548,23 +903,23 @@ SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
-all = ["O365 (>=2.0.26,<3.0.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "amadeus (>=8.1.0)", "arxiv (>=1.4,<2.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "awadb (>=0.3.9,<0.4.0)", "azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "beautifulsoup4 (>=4,<5)", "clarifai (>=9.1.0)", "clickhouse-connect (>=0.5.14,<0.6.0)", "cohere (>=4,<5)", "deeplake (>=3.8.3,<4.0.0)", "docarray[hnswlib] (>=0.32.0,<0.33.0)", "duckduckgo-search (>=3.8.3,<4.0.0)", "elasticsearch (>=8,<9)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "google-api-python-client (==2.70.0)", "google-auth (>=2.18.1,<3.0.0)", "google-search-results (>=2,<3)", "gptcache (>=0.1.7)", "html2text (>=2020.1.16,<2021.0.0)", "huggingface_hub (>=0,<1)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lancedb (>=0.1,<0.2)", "langkit (>=0.0.6,<0.1.0)", "lark (>=1.1.5,<2.0.0)", "librosa (>=0.10.0.post2,<0.11.0)", "lxml (>=4.9.2,<5.0.0)", "manifest-ml (>=0.0.1,<0.0.2)", "marqo (>=1.2.4,<2.0.0)", "momento (>=1.10.1,<2.0.0)", "nebula3-python (>=3.4.0,<4.0.0)", "neo4j (>=5.8.1,<6.0.0)", "networkx (>=2.6.3,<4)", "nlpcloud (>=1,<2)", "nltk (>=3,<4)", "nomic (>=1.0.43,<2.0.0)", "openai (>=0,<1)", "openlm (>=0.0.5,<0.0.6)", "opensearch-py (>=2.0.0,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pexpect (>=4.8.0,<5.0.0)", "pgvector (>=0.1.6,<0.2.0)", "pinecone-client (>=2,<3)", "pinecone-text (>=0.4.2,<0.5.0)", "psycopg2-binary (>=2.9.5,<3.0.0)", "pymongo (>=4.3.3,<5.0.0)", "pyowm (>=3.3.0,<4.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pytesseract (>=0.3.10,<0.4.0)", "python-arango (>=7.5.9,<8.0.0)", "pyvespa (>=0.33.0,<0.34.0)", "qdrant-client (>=1.3.1,<2.0.0)", "rdflib (>=6.3.2,<7.0.0)", "redis (>=4,<5)", "requests-toolbelt (>=1.0.0,<2.0.0)", "sentence-transformers (>=2,<3)", "singlestoredb (>=0.7.1,<0.8.0)", "tensorflow-text (>=2.11.0,<3.0.0)", "tigrisdb (>=1.0.0b6,<2.0.0)", "tiktoken (>=0.3.2,<0.6.0)", "torch (>=1,<3)", "transformers (>=4,<5)", "weaviate-client (>=3,<4)", "wikipedia (>=1,<2)", "wolframalpha (==5.0.0)"]
-azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (>=0,<1)"]
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-openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
+llms = ["clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
+openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langsmith"
-version = "0.0.62"
+version = "0.0.66"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 category = "main"
 optional = false
@@ -572,7 +927,6 @@ python-versions = ">=3.8.1,<4.0"
 
 [package.dependencies]
 pydantic = ">=1,<3"
-pytest-subtests = ">=0.11.0,<0.12.0"
 requests = ">=2,<3"
 
 [[package]]
@@ -636,6 +990,25 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s
 lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
+[[package]]
+name = "matplotlib"
+version = "3.8.2"
+description = "Python plotting package"
+category = "main"
+optional = false
+python-versions = ">=3.9"
+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+kiwisolver = ">=1.3.1"
+numpy = ">=1.21,<2"
+packaging = ">=20.0"
+pillow = ">=8"
+pyparsing = ">=2.3.1"
+python-dateutil = ">=2.7"
+
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -644,6 +1017,49 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "modelscope"
+version = "1.9.5"
+description = "ModelScope: bring the notion of Model-as-a-Service to life."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+addict = "*"
+attrs = "*"
+datasets = ">=2.8.0,<=2.13.0"
+einops = "*"
+filelock = ">=3.3.0"
+gast = ">=0.2.2"
+numpy = "*"
+oss2 = "*"
+pandas = "*"
+Pillow = ">=6.2.0"
+pyarrow = ">=6.0.0,<9.0.0 || >9.0.0"
+python-dateutil = ">=2.1"
+pyyaml = "*"
+requests = ">=2.25"
+scipy = "*"
+setuptools = "*"
+simplejson = ">=3.3.0"
+sortedcontainers = ">=1.5.9"
+tqdm = ">=4.64.0"
+urllib3 = ">=1.26"
+yapf = "*"
+
+[package.extras]
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+audio-signal = ["MinDAEC", "SoundFile (>0.10)", "hdbscan", "hyperpyyaml", "librosa (==0.9.2)", "mir-eval (>=0.7)", "rotary-embedding-torch (>=0.1.5)", "scipy", "speechbrain (>=0.5.12)", "torchaudio", "tqdm", "umap-learn"]
+audio-tts = ["PyWavelets (>=1.0.0)", "bitstring", "greenlet (>=1.1.2)", "inflect", "jedi (>=0.18.1)", "kantts", "librosa (==0.9.2)", "lxml", "matplotlib", "msgpack (>=1.0.4)", "parso (>=0.8.3)", "pexpect (>=4.8.0)", "pickleshare (>=0.7.5)", "prompt-toolkit (>=3.0.30)", "protobuf", "ptflops", "ptyprocess (>=0.7.0)", "pygments (>=2.12.0)", "pysptk (>=0.1.15,<0.1.19)", "pytorch-wavelets", "scikit-learn", "sox", "tensorboardx", "tqdm", "traitlets (>=5.3.0)", "ttsfrd (>=0.1.2)", "unidecode", "wcwidth (>=0.2.5)"]
+cv = ["PyMCubes", "accelerate", "albumentations (>=1.0.3)", "av (>=9.2.0)", "bmt-clipit (>=1.0)", "chumpy", "clip (>=1.0)", "control-ldm", "ddpm-guided-diffusion", "diffusers", "easydict", "easyrobust", "edit-distance", "face-alignment (>=1.3.5)", "fairscale (>=0.4.1)", "fastai (>=1.0.51)", "ffmpeg (>=1.4)", "ffmpeg-python (>=0.2.0)", "ftfy", "fvcore", "healpy", "imageio (>=2.9.0)", "imageio-ffmpeg (>=0.4.2)", "imgaug (>=0.4.0)", "kornia (>=0.5.0)", "lap", "lmdb", "lpips", "ml-collections", "mmcls (>=0.21.0)", "mmdet (>=2.25.0,<=2.28.2)", "mmdet3d (==1.0.0a1)", "mmsegmentation (<=0.30.0)", "moviepy (>=1.0.3)", "nerfacc (==0.2.2)", "networkx", "numba", "omegaconf", "onnx", "onnxruntime (>=1.10)", "onnxsim", "open-clip-torch (>=2.7.0)", "opencv-python", "paint-ldm", "pandas", "panopticapi", "plyfile (>=0.7.4)", "psutil", "pyclipper", "pytorch-lightning", "regex", "scikit-image (>=0.19.3,<0.20.0)", "scikit-learn (>=0.20.1)", "shapely", "shotdetect-scenedetect-lgss (>=0.0.4)", "smplx", "tensorflow-estimator (>=1.15.1)", "tf-slim", "thop", "timm (>=0.4.9)", "torch-scatter", "torchmetrics (>=0.6.2)", "torchsummary (>=1.5.1)", "torchvision", "tqdm", "transformers (>=4.26.0)", "trimesh", "ujson", "utils", "videofeatures-clipit (>=1.0)", "yacs"]
+multi-modal = ["accelerate", "cloudpickle", "decord (>=0.6.0)", "diffusers (>=0.19.0)", "fairseq", "ftfy (>=6.0.3)", "librosa (==0.9.2)", "opencv-python", "pycocoevalcap (>=1.2)", "pycocotools (>=2.0.4)", "pydot", "pytorch-lightning (<=1.7.7)", "rapidfuzz", "rouge-score (<=0.0.4)", "sacrebleu", "safetensors", "soundfile", "taming-transformers-rom1504", "timm", "tokenizers", "torchvision", "transformers (>=4.27.1)", "unicodedata2", "zhconv"]
+nlp = ["boto3", "embeddings", "filelock", "ftfy", "jieba (>=0.42.1)", "matplotlib", "megatron-util", "nltk", "pandas", "protobuf (>=3.19.0,<3.21.0)", "pythainlp", "pyvi", "regex", "rouge", "sacremoses (>=0.0.41)", "scikit-learn", "sentencepiece", "seqeval", "spacy (>=2.3.5)", "stanza", "subword-nmt (>=0.3.8)", "termcolor", "tokenizers", "transformers (>=4.12.0)", "zhconv"]
+science = ["biopython", "iopath", "ipdb", "lmdb", "ml-collections", "scipy", "tensorboardX", "tokenizers"]
+
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -652,6 +1068,17 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "multiprocess"
+version = "0.70.14"
+description = "better multiprocessing and multithreading in python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+dill = ">=0.3.6"
+
 [[package]]
 name = "mypy-extensions"
 version = "1.0.0"
@@ -734,6 +1161,30 @@ typing-extensions = ">=4.5,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
+name = "orjson"
+version = "3.9.10"
+description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[[package]]
+name = "oss2"
+version = "2.18.3"
+description = "Aliyun OSS (Object Storage Service) SDK"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+aliyun-python-sdk-core = ">=2.13.12"
+aliyun-python-sdk-kms = ">=2.4.1"
+crcmod = ">=1.7"
+pycryptodome = ">=3.4.7"
+requests = "!=2.9.0"
+six = "*"
+
 [[package]]
 name = "packaging"
 version = "23.1"
@@ -774,16 +1225,16 @@ docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
-name = "pluggy"
-version = "1.3.0"
-description = "plugin and hook calling mechanisms for python"
+name = "platformdirs"
+version = "4.0.0"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "main"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 
 [package.extras]
-dev = ["pre-commit", "tox"]
-testing = ["pytest", "pytest-benchmark"]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
 
 [[package]]
 name = "protobuf"
@@ -793,6 +1244,17 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "psutil"
+version = "5.9.6"
+description = "Cross-platform lib for process and system monitoring in Python."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+
+[package.extras]
+test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+
 [[package]]
 name = "py"
 version = "1.11.0"
@@ -812,6 +1274,22 @@ python-versions = ">=3.8"
 [package.dependencies]
 numpy = ">=1.16.6"
 
+[[package]]
+name = "pycparser"
+version = "2.21"
+description = "C parser in Python"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "pycryptodome"
+version = "3.19.0"
+description = "Cryptographic library for Python"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
 [[package]]
 name = "pydantic"
 version = "1.10.13"
@@ -843,6 +1321,14 @@ numpy = ">=1.16.4"
 carto = ["pydeck-carto"]
 jupyter = ["ipykernel (>=5.1.2)", "ipython (>=5.8.0)", "ipywidgets (>=7,<8)", "traitlets (>=4.3.2)"]
 
+[[package]]
+name = "pydub"
+version = "0.25.1"
+description = "Manipulate audio with an simple and easy high level interface"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "pygments"
 version = "2.16.1"
@@ -889,35 +1375,15 @@ optional = false
 python-versions = ">=3.8"
 
 [[package]]
-name = "pytest"
-version = "7.4.3"
-description = "pytest: simple powerful testing with Python"
+name = "pyparsing"
+version = "3.1.1"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 category = "main"
 optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
-pluggy = ">=0.12,<2.0"
-tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+python-versions = ">=3.6.8"
 
 [package.extras]
-testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
-
-[[package]]
-name = "pytest-subtests"
-version = "0.11.0"
-description = "unittest subTest() support and subtests fixture"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-attrs = ">=19.2.0"
-pytest = ">=7.0"
+diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "python-dateutil"
@@ -941,6 +1407,17 @@ python-versions = ">=3.8"
 [package.extras]
 cli = ["click (>=5.0)"]
 
+[[package]]
+name = "python-multipart"
+version = "0.0.6"
+description = "A streaming multipart parser for Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==1.7.3)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"]
+
 [[package]]
 name = "pytz"
 version = "2023.3.post1"
@@ -1045,6 +1522,18 @@ category = "main"
 optional = false
 python-versions = ">=3.8"
 
+[[package]]
+name = "s3fs"
+version = "0.4.2"
+description = "Convenient Filesystem interface over S3"
+category = "main"
+optional = false
+python-versions = ">= 3.5"
+
+[package.dependencies]
+botocore = ">=1.12.91"
+fsspec = ">=0.6.0"
+
 [[package]]
 name = "safetensors"
 version = "0.3.3"
@@ -1065,6 +1554,75 @@ tensorflow = ["numpy (>=1.21.6)", "tensorflow (>=2.11.0)"]
 testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "numpy (>=1.21.6)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "setuptools-rust (>=1.5.2)"]
 torch = ["numpy (>=1.21.6)", "torch (>=1.10)"]
 
+[[package]]
+name = "scikit-learn"
+version = "1.3.2"
+description = "A set of python modules for machine learning and data mining"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+joblib = ">=1.1.1"
+numpy = ">=1.17.3,<2.0"
+scipy = ">=1.5.0"
+threadpoolctl = ">=2.0.0"
+
+[package.extras]
+benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.10.1)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
+tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.16.2)"]
+
+[[package]]
+name = "scipy"
+version = "1.11.4"
+description = "Fundamental algorithms for scientific computing in Python"
+category = "main"
+optional = false
+python-versions = ">=3.9"
+
+[package.dependencies]
+numpy = ">=1.21.6,<1.28.0"
+
+[package.extras]
+dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
+doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
+test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+
+[[package]]
+name = "semantic-version"
+version = "2.10.0"
+description = "A library implementing the 'SemVer' scheme."
+category = "main"
+optional = false
+python-versions = ">=2.7"
+
+[package.extras]
+dev = ["Django (>=1.11)", "check-manifest", "colorama (<=0.4.1)", "coverage", "flake8", "nose2", "readme-renderer (<25.0)", "tox", "wheel", "zest.releaser[recommended]"]
+doc = ["Sphinx", "sphinx-rtd-theme"]
+
+[[package]]
+name = "setuptools"
+version = "69.0.2"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+
+[[package]]
+name = "simplejson"
+version = "3.19.2"
+description = "Simple, fast, extensible JSON encoder/decoder for Python"
+category = "main"
+optional = false
+python-versions = ">=2.5, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1089,6 +1647,14 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "sortedcontainers"
+version = "2.4.0"
+description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "sqlalchemy"
 version = "1.4.49"
@@ -1121,9 +1687,37 @@ postgresql-psycopg2cffi = ["psycopg2cffi"]
 pymysql = ["pymysql", "pymysql (<1)"]
 sqlcipher = ["sqlcipher3_binary"]
 
+[[package]]
+name = "sse-starlette"
+version = "1.8.1"
+description = "SSE plugin for Starlette"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+anyio = "*"
+fastapi = "*"
+starlette = "*"
+uvicorn = "*"
+
+[[package]]
+name = "starlette"
+version = "0.32.0.post1"
+description = "The little ASGI library that shines."
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+anyio = ">=3.4.0,<5"
+
+[package.extras]
+full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
+
 [[package]]
 name = "streamlit"
-version = "1.27.0"
+version = "1.28.2"
 description = "A faster way to build and share data apps"
 category = "main"
 optional = false
@@ -1139,23 +1733,23 @@ importlib-metadata = ">=1.4,<7"
 numpy = ">=1.19.3,<2"
 packaging = ">=16.8,<24"
 pandas = ">=1.3.0,<3"
-pillow = ">=7.1.0,<10"
+pillow = ">=7.1.0,<11"
 protobuf = ">=3.20,<5"
 pyarrow = ">=6.0"
 pydeck = ">=0.8.0b4,<1"
 python-dateutil = ">=2.7.3,<3"
-requests = ">=2.18,<3"
+requests = ">=2.27,<3"
 rich = ">=10.14.0,<14"
 tenacity = ">=8.1.0,<9"
 toml = ">=0.10.1,<2"
 tornado = ">=6.0.3,<7"
-typing-extensions = ">=4.1.0,<5"
+typing-extensions = ">=4.3.0,<5"
 tzlocal = ">=1.1,<6"
 validators = ">=0.2,<1"
 watchdog = {version = ">=2.1.5", markers = "platform_system != \"Darwin\""}
 
 [package.extras]
-snowflake = ["snowflake-snowpark-python"]
+snowflake = ["snowflake-connector-python (>=2.8.0)", "snowflake-snowpark-python (>=0.9.0)"]
 
 [[package]]
 name = "stringcase"
@@ -1176,6 +1770,14 @@ python-versions = ">=3.7"
 [package.extras]
 widechars = ["wcwidth"]
 
+[[package]]
+name = "tblib"
+version = "3.0.0"
+description = "Traceback serialization library."
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
 [[package]]
 name = "tenacity"
 version = "8.2.3"
@@ -1187,6 +1789,14 @@ python-versions = ">=3.7"
 [package.extras]
 doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
+[[package]]
+name = "threadpoolctl"
+version = "3.2.0"
+description = "threadpoolctl"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
 [[package]]
 name = "tiktoken"
 version = "0.4.0"
@@ -1394,6 +2004,34 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "uvicorn"
+version = "0.24.0.post1"
+description = "The lightning-fast ASGI server."
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+click = ">=7.0"
+h11 = ">=0.8"
+typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+
+[[package]]
+name = "uvloop"
+version = "0.19.0"
+description = "Fast implementation of asyncio event loop on top of libuv"
+category = "main"
+optional = false
+python-versions = ">=3.8.0"
+
+[package.extras]
+docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
+test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"]
+
 [[package]]
 name = "validators"
 version = "0.22.0"
@@ -1424,6 +2062,14 @@ python-versions = ">=3.7"
 [package.extras]
 watchmedo = ["PyYAML (>=3.10)"]
 
+[[package]]
+name = "websockets"
+version = "11.0.3"
+description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "win32-setctime"
 version = "1.1.0"
@@ -1435,6 +2081,128 @@ python-versions = ">=3.5"
 [package.extras]
 dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
 
+[[package]]
+name = "xinference"
+version = "0.6.3"
+description = "Model Serving Made Easy"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+click = "*"
+fastapi = "*"
+fsspec = "*"
+gradio = ">=3.39.0"
+huggingface-hub = ">=0.14.1,<1.0"
+modelscope = "*"
+pydantic = "<2"
+requests = "*"
+s3fs = "*"
+sse-starlette = "*"
+tabulate = "*"
+tqdm = ">=4.27"
+typing-extensions = "*"
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diff --git a/pyproject.toml b/pyproject.toml
index 87b562e..99106c6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,7 +11,7 @@ python = ">=3.10,<3.12"
 streamlit = "^1.21.0"
 pandas = "^1.1.5"
 loguru = "^0.7.0"
-biochatter = "^0.2.0"
+biochatter = {version = "^0.3.2", extras = ["podcast", "xinference"]}
 tabulate = "^0.9.0"
 neo4j-utils = { version = "^0.0.7", optional = true }