app.py

from huggingface_hub import InferenceClient
import gradio as gr

class MistralChatbot:
    def __init__(self):
        self.client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")

    def format_prompt(self, message, history):
        prompt = "<s>"
        for user_prompt, bot_response in history:
            prompt += f"[INST] {user_prompt} [/INST]"
            prompt += f" {bot_response}</s> "
        prompt += f"[INST] {message} [/INST]"
        return prompt

    def generate(self, prompt, history, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
        temperature = float(temperature)
        if temperature < 1e-2:
            temperature = 1e-2
        top_p = float(top_p)

        generate_kwargs = dict(
            temperature=temperature,
            max_new_tokens=max_new_tokens,
            top_p=top_p,
            repetition_penalty=repetition_penalty,
            do_sample=True,
            seed=42,
        )

        formatted_prompt = self.format_prompt(prompt, history)

        stream = self.client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
        output = ""

        for response in stream:
            output += response.token.text
            yield output
        return output

    def launch_chat(self):
        additional_inputs=[
            gr.Slider(
                label="Temperature",
                value=0.9,
                minimum=0.0,
                maximum=1.0,
                step=0.05,
                interactive=True,
                info="Higher values produce more diverse outputs",
            ),
            gr.Slider(
                label="Max new tokens",
                value=256,
                minimum=0,
                maximum=1048,
                step=64,
                interactive=True,
                info="The maximum numbers of new tokens",
            ),
            gr.Slider(
                label="Top-p (nucleus sampling)",
                value=0.90,
                minimum=0.0,
                maximum=1,
                step=0.05,
                interactive=True,
                info="Higher values sample more low-probability tokens",
            ),
            gr.Slider(
                label="Repetition penalty",
                value=1.2,
                minimum=1.0,
                maximum=2.0,
                step=0.05,
                interactive=True,
                info="Penalize repeated tokens",
            )
        ]

        gr.ChatInterface(
            fn=self.generate,
            chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
            additional_inputs=additional_inputs,
            title="Mistral 7B"
        ).launch(show_api=False)

# Example usage:
if __name__ == "__main__":
    chatbot = MistralChatbot()
    chatbot.launch_chat()