Merge pull request #19 from isakshay007/main

Added the example directory to LYZR

example/YouTubeChatbot/README.md

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+# youtubechatbot111
+
+App Link here :[Youtube Chatbot](https://youtubechatbot111-dphcjsrysxgqchabexhv2d.streamlit.app/)
+This application is driven by Lyzr SDK's Chatbot functionality! Here, you can upload your YouTube links and ask questions to receive relevant and insightful responses. Whether you're a student seeking clarification or a curious learner eager to delve deeper into a particular subject, our YouTube Chatbot is here to facilitate your learning journey.

example/YouTubeChatbot/abc.txt

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+

example/YouTubeChatbot/app1.py

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+import streamlit as st
+import os
+from lyzr import ChatBot
+import weaviate
+import openai
+
+# Set your OpenAI API key
+openai.api_key = st.secrets["OPENAI_API_KEY"]
+
+# Define the Weaviate vector store parameters
+vector_store_params = {
+    "vector_store_type": "WeaviateVectorStore",
+    "url": "https://newytchatbot-tr5zy9ee.weaviate.network",
+    "api_key": "8C9HovD2PvtgREyGn77YGPyLnCSWB5vu8t7L",
+    "index_name": "Akshay"  # First letter should be capital
+}
+
+# Alternatively, for a local Embedded Weaviate vector store
+# vector_store_params = {
+#     "vector_store_type": "WeaviateVectorStore",
+#     "index_name": "IndexName"  # First letter should be capital
+# }
+
+# Function to initialize the Chatbot with the provided video URL
+def initialize_chatbot(video_url):
+    return ChatBot.youtube_chat(urls=[video_url], vector_store_params=vector_store_params)
+
+# Main function to create the Streamlit app
+def main():
+    st.title("YouTube Chatbot")
+
+    # Input field for entering the YouTube video URL
+    video_url = st.text_input("Enter YouTube Video URL:")
+
+    # Initialize the Chatbot if the video URL is provided
+    if video_url:
+        chatbot = initialize_chatbot(video_url)
+
+        # Input field for asking questions
+        question = st.text_input("Ask a question related to the video content:")
+
+        # Button to submit the question and get the response
+        if st.button("Ask"):
+            if question:
+                response = chatbot.chat(question)
+                st.write("Chatbot's Response:")
+                st.write(response.response)
+            else:
+                st.warning("Please enter a question.")
+
+# Run the Streamlit app
+if __name__ == "__main__":
+    main()

example/wikibot/Hello.py

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+import os
+os.system("playwright install")
+from PIL import Image
+import streamlit as st
+from lyzr import ChatBot
+import nest_asyncio
+#from typing import Union
+import openai
+
+os.environ["OPENAI_API_KEY"] = st.secrets["apikey"]
+
+# Apply nest_asyncio
+nest_asyncio.apply()
+
+# Custom function to style the app
+def style_app():
+    # You can put your CSS styles here
+    st.markdown("""
+    <style>
+    .app-header { visibility: hidden; }
+    .css-18e3th9 { padding-top: 0; padding-bottom: 0; }
+    .css-1d391kg { padding-top: 1rem; padding-right: 1rem; padding-bottom: 1rem; padding-left: 1rem; }
+    .button-group { display: flex; justify-content: space-between; }
+    .button { flex: 1; margin: 0 0.5rem; background-color: #4CAF50; color: white; border: none; padding: 15px 32px; text-align: center; text-decoration: none; display: inline-block; font-size: 16px; transition-duration: 0.4s; cursor: pointer; border-radius: 12px; }
+    .button:hover { background-color: #45a049; }
+    .button:active { background-color: #3e8e41; transform: translateY(2px); }
+    .input-text { padding: 10px; border-radius: 12px; border: 1px solid #ccc; width: 100%; box-sizing: border-box; margin-bottom: 10px; }
+    .input-text:focus { border-color: #4CAF50; }
+    </style>
+    """, unsafe_allow_html=True)
+
+# Call the function to apply the styles
+style_app()
+
+# Load and display the logo
+image = Image.open("lyzr-logo.png")
+st.image(image, width=150)
+
+# App title and introduction
+st.title("WikiBot")
+st.markdown("### Welcome to WikiBot! 🤖")
+st.markdown("Interact with Wikipedia Through Chatbots (built using LYZR SDK)")
+
+# Define function to initialize chatbot
+def initialize_chatbot(url):
+    # Replace these parameters with your actual Weaviate Vector Store parameters
+    vector_store_params = {
+        "vector_store_type": "WeaviateVectorStore",
+        "url": "https://wikibot-zn4f2emj.weaviate.network",
+        "api_key": "JKkfz6V0kxYa3WX40FdyiFf2DDTM3GlAIyTT",
+        "index_name": "Akshay"
+    }
+    # Initialize the Webpage Chatbot with the provided URL
+    return ChatBot.webpage_chat(
+        url=url,
+        vector_store_params=vector_store_params
+    )
+
+# Main function to run the Streamlit app
+def main():
+    # User input for URL
+    url = st.text_input("Enter the URL of the webpage:")
+
+    # Check if URL is provided
+    if url:
+        # Initialize the chatbot with the provided URL
+        chatbot = initialize_chatbot(url)
+
+        # Pre-defined prompts
+        prompts = [
+            "What is the summary of this page?",
+            "Can you explain the history of this topic?",
+            "Who are the notable figures related to this topic?",
+            "What are the controversies surrounding this topic?"
+        ]
+
+        # Display pre-defined prompts as buttons
+        col1, col2 = st.columns(2)
+        for i, prompt in enumerate(prompts):
+            if i % 2 == 0:
+                button = col1.button(prompt, key=f"button_{i}")
+            else:
+                button = col2.button(prompt, key=f"button_{i}")
+
+            # Check if button is clicked
+            if button:
+                # Chat with the chatbot
+                response = chatbot.chat(prompt)
+
+                # Display chatbot's response
+                st.write("Chatbot's Response:")
+                st.write(response.response)
+
+
+        # User's own question input field
+        user_question = st.text_input("Enter your own question:")
+
+        # Chat with the chatbot if user provides a question
+        if user_question:
+            response = chatbot.chat(user_question)
+
+            # Display chatbot's response
+            st.write("Chatbot's Response:")
+            st.write(response.response)
+
+# Run the Streamlit app
+if __name__ == "__main__":
+    main()
+
+# Footer or any additional information
+with st.expander("ℹ️ - About this App"):
+    st.markdown("""
+    WikiBot enables seamless interaction with Wikipedia through chatbots powered by the LYZR SDK. Effortlessly explore topics, utilize pre-defined prompts for summaries, and pose inquiries directly within your browser. For inquiries or assistance, reach out to Lyzr.
+    """)
+
+
+    st.link_button("Lyzr", url='https://www.lyzr.ai/', use_container_width = True)
+    st.link_button("Book a Demo", url='https://www.lyzr.ai/book-demo/', use_container_width = True)
+    st.link_button("Discord", url='https://discord.gg/nm7zSyEFA2', use_container_width = True)
+    st.link_button("Slack", url='https://join.slack.com/t/genaiforenterprise/shared_invite/zt-2a7fr38f7-_QDOY1W1WSlSiYNAEncLGw', use_container_width = True)

example/wikibot/README.md

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+WikiBot enables seamless interaction with Wikipedia through chatbots powered by the LYZR SDK. Effortlessly explore topics, utilize pre-defined prompts for summaries, and pose inquiries directly within your browser. For inquiries or assistance, reach out to Lyzr.

example/wikibot/abc.txt

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+

example/wikibot/packages.txt

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+libnss3
+libnspr4
+libatk1.0-0
+libatk-bridge2.0-0
+libcups2
+libdrm2
+libxkbcommon0
+libxcomposite1
+libxdamage1
+libxfixes3
+libxrandr2
+libgbm1
+libpango-1.0-0
+libcairo2
+libasound2
+libatspi2.0-0
+libwayland-client0

example/wikibot/requirements.txt

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+aiohttp==3.9.3
+aiosignal==1.3.1
+aiostream==0.5.2
+altair==5.2.0
+annotated-types==0.6.0
+anyio==3.7.1
+appdirs==1.4.4
+asyncio==3.4.3
+attrs==23.2.0
+Authlib==1.3.0
+beautifulsoup4==4.12.2
+blinker==1.7.0
+cachetools==5.3.3
+certifi==2023.11.17
+cffi==1.16.0
+charset-normalizer==3.3.2
+click==8.1.7
+contourpy==1.2.0
+cryptography==42.0.5
+cycler==0.12.1
+dataclasses-json==0.5.14
+Deprecated==1.2.14
+distro==1.9.0
+filelock==3.13.1
+fonttools==4.49.0
+frozenlist==1.4.1
+fsspec==2024.2.0
+gitdb==4.0.11
+GitPython==3.1.41
+greenlet==3.0.3
+h11==0.14.0
+httpcore==1.0.4
+httpx==0.27.0
+huggingface-hub==0.21.4
+idna==3.6
+importlib_metadata==7.0.2
+Jinja2==3.1.3
+joblib==1.3.2
+jsonpatch==1.33
+jsonpointer==2.4
+jsonschema==4.21.1
+jsonschema-specifications==2023.12.1
+kiwisolver==1.4.5
+langchain==0.0.339
+langsmith==0.0.92
+litellm==1.2.0
+llama-index==0.9.4
+llmsherpa==0.1.4
+lyzr==0.1.25
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+marshmallow==3.21.1
+mdurl==0.1.2
+multidict==6.0.5
+mypy-extensions==1.0.0
+nest-asyncio==1.6.0
+nltk==3.8.1
+numpy==1.26.4
+openai==1.3.4
+packaging==23.2
+pandas==2.0.2
+pillow==10.2.0
+playwright==1.42.0
+protobuf==4.25.3
+pyarrow==15.0.1
+pycparser==2.21
+pydantic==2.6.4
+pydantic_core==2.16.3
+pydeck==0.8.1b0
+pyee==11.0.1
+Pygments==2.17.2
+pyparsing==3.1.2
+python-dateutil==2.9.0.post0
+python-dotenv==1.0.1
+pytz==2024.1
+PyYAML==6.0.1
+referencing==0.33.0
+regex==2023.12.25
+requests==2.31.0
+rich==13.7.1
+rpds-py==0.18.0
+six==1.16.0
+smmap==5.0.1
+sniffio==1.3.1
+soupsieve==2.5
+SQLAlchemy==2.0.28
+streamlit==1.32.2
+tenacity==8.2.3
+tiktoken==0.6.0
+tokenizers==0.15.2
+toml==0.10.2
+toolz==0.12.1
+tornado==6.4
+tqdm==4.66.2
+typing-inspect==0.9.0
+typing_extensions==4.10.0
+tzdata==2024.1
+urllib3==1.26.18
+validators==0.22.0
+watchdog==4.0.0
+weaviate-client==3.25.3
+wrapt==1.16.0
+yarl==1.9.4
+zipp==3.18.1