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Update app.py
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app.py
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@@ -3,20 +3,8 @@ from huggingface_hub import InferenceClient
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import requests
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import os
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url = "http://
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"""
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class ChatRequest(BaseModel):
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messages: typing.List[typing.Dict]
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max_new_tokens: int
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max_length: int = 4096
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temperature: int = 1.0
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top_k: int = 0
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top_p: float = 1.0
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repetition_penalty: float = 1.03
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do_sample: bool = True
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seed: int = 42
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"""
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def respond(
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message,
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@@ -60,13 +48,15 @@ def respond(
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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# gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Checkbox(True, label="do sample"),
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gr.Number(42, precision=0, label="seed"),
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gr.Slider(minimum=1, maximum=2048, value=
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gr.Slider(minimum=0.01, maximum=4.0, value=0.7, step=0.01, label="Temperature"),
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gr.Slider(
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minimum=0.1,
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@@ -94,5 +84,5 @@ demo = gr.ChatInterface(
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if __name__ == "__main__":
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demo.queue(default_concurrency_limit=
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demo.launch()
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import requests
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import os
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url = "http://59.110.170.104:8085/chat_completion"
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def respond(
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message,
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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demo = gr.ChatInterface(
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respond,
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chatbot=gr.Chatbot(height=600),
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additional_inputs=[
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# gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Checkbox(True, label="do sample"),
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gr.Number(42, precision=0, label="seed"),
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gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.01, maximum=4.0, value=0.7, step=0.01, label="Temperature"),
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gr.Slider(
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minimum=0.1,
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if __name__ == "__main__":
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demo.queue(default_concurrency_limit=2, max_size=10)
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demo.launch()
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