app.py

from huggingface_hub import InferenceClient

client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")

def format_prompt(message, history, system_prompt=None):
    prompt = "<s>"
    for user_prompt, bot_response in history:
        prompt += f"[INST] {user_prompt} [/INST]"
        prompt += f" {bot_response}</s> "
    if system_prompt:
        prompt += f"[SYS] {system_prompt} [/SYS]"
    prompt += f"[INST] {message} [/INST]"
    return prompt

def generate(
    prompt, history, system_prompt=None, temperature=0.2, max_new_tokens=1024, 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 = format_prompt(prompt, history, system_prompt)

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

    for response in stream:
        output += response.token.text
        print(output, end='', flush=True)
    return output

if __name__ == "__main__":
    history = []
    system_prompt = None
    while True:
        user_input = input("You: ")
        if user_input.lower() in ["exit", "quit"]:
            break
        response = generate(user_input, history, system_prompt)
        history.append((user_input, response))
        print(f"\nBot: {response}\n")