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"""Demo for mistralai/Mistral-Small-Instruct-2409""" |
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from typing import List, Tuple, Union |
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import gradio as gr |
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from huggingface_hub import InferenceClient |
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client = InferenceClient("mistralai/Mistral-Small-Instruct-2409") |
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def chat( |
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message: str, |
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history: List[Tuple[str, str]], |
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system_message: str, |
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max_tokens: Union[int, None], |
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temperature: Union[float, None], |
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top_p: Union[float, None], |
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): |
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"""Chat demo for mistralai/Mistral-Small-Instruct-2409""" |
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messages = [{"role": "system", "content": system_message}] |
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messages.extend(history) |
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messages.append({"role": "user", "content": message}) |
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llm_message = client.chat_completion( |
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messages, |
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max_tokens=max_tokens, |
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temperature=temperature, |
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top_p=top_p, |
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) |
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messages.append( |
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{ |
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"role": "assistant", |
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"content": llm_message.choices[0].message.content, |
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} |
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) |
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yield llm_message.choices[0].message.content |
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demo = gr.ChatInterface( |
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chat, |
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type="messages", |
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title="Mistral-Small-Instruct-2409", |
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description="A small version of Mistral AI, designed for instruction following tasks.", |
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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.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), |
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), |
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"), |
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], |
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) |
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if __name__ == "__main__": |
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demo.launch() |
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