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Update gradio demo #1325

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Update gradio demo #1325

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30 changes: 18 additions & 12 deletions basic_demo/web_demo_gradio.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,10 +35,13 @@
TextIteratorStreamer
)

import socket

ModelType = Union[PreTrainedModel, PeftModelForCausalLM]
TokenizerType = Union[PreTrainedTokenizer, PreTrainedTokenizerFast]

MODEL_PATH = os.environ.get('MODEL_PATH', 'THUDM/chatglm3-6b')
#MODEL_PATH = os.environ.get('MODEL_PATH', 'THUDM/chatglm3-6b')
MODEL_PATH = 'chatglm3-6b'
TOKENIZER_PATH = os.environ.get("TOKENIZER_PATH", MODEL_PATH)


Expand Down Expand Up @@ -109,10 +112,12 @@ def parse_text(text):
text = "".join(lines)
return text


def predict(history, max_length, top_p, temperature):
def predict(history, max_length, top_p, temperature, system_prompt):
stop = StopOnTokens()
messages = []
if(system_prompt!=""):
messages.append({"role": "system", "content": system_prompt})

for idx, (user_msg, model_msg) in enumerate(history):
if idx == len(history) - 1 and not model_msg:
messages.append({"role": "user", "content": user_msg})
Expand Down Expand Up @@ -147,31 +152,32 @@ def predict(history, max_length, top_p, temperature):
yield history


with gr.Blocks() as demo:
gr.HTML("""<h1 align="center">ChatGLM3-6B Gradio Simple Demo</h1>""")
chatbot = gr.Chatbot()
with gr.Blocks(title="ChatGLM") as demo:
gr.Markdown("## ChatGLM3-6B")

with gr.Row():
with gr.Column(scale=4):
chatbot = gr.Chatbot(layout="panel")
with gr.Column(scale=12):
user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10, container=False)
user_input = gr.Textbox(show_label=False, placeholder="Input to chat...", lines=3, container=False)
with gr.Column(min_width=32, scale=1):
submitBtn = gr.Button("Submit")
submitBtn = gr.Button("Submit", variant="primary")
with gr.Column(scale=1):
emptyBtn = gr.Button("Clear History")
max_length = gr.Slider(0, 32768, value=8192, step=1.0, label="Maximum length", interactive=True)
max_length = gr.Slider(0, 32768, value=16384, step=1.0, label="Maximum length", interactive=True)
top_p = gr.Slider(0, 1, value=0.8, step=0.01, label="Top P", interactive=True)
temperature = gr.Slider(0.01, 1, value=0.6, step=0.01, label="Temperature", interactive=True)

gr.HTML("""<span>System Prompt</span>""")
system_prompt = gr.Textbox(show_label=False, placeholder="System Prompt", lines=6, container=False)

def user(query, history):
return "", history + [[parse_text(query), ""]]


submitBtn.click(user, [user_input, chatbot], [user_input, chatbot], queue=False).then(
predict, [chatbot, max_length, top_p, temperature], chatbot
predict, [chatbot, max_length, top_p, temperature, system_prompt], chatbot
)
emptyBtn.click(lambda: None, None, chatbot, queue=False)

demo.queue()
demo.launch(server_name="127.0.0.1", server_port=7870, inbrowser=True, share=False)
demo.launch(server_name=socket.gethostbyname(socket.gethostname()), server_port=7870, inbrowser=True, share=False)