app.py

import gradio as gr
from huggingface_hub import InferenceClient
import os



client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
prompt_secret = os.environ.get('PROMPT_SECRET')

def format_prompt(message, history):
    prompt = prompt_secret + "In Ihrer ersten Interaktion fragen Sie nach spezifischen Anforderungen des Entwicklungsprojekts."


    for user_prompt, bot_response in history:
        prompt += f"[INST] {user_prompt} [/INST]"
        prompt += f" {bot_response}</s> "
    prompt += f"[INST] {message} [/INST]</s>"

    return prompt


def generate(
    prompt, history, temperature=0.2, max_new_tokens=512, 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)

    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
        yield output
    return output

mychatbot = gr.Chatbot(
    avatar_images=["./user.png", "./botm.png"], bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,
)

demo = gr.ChatInterface(
    fn=generate, 
    chatbot=mychatbot,
    title="Einfach Mixtral",
    retry_btn=None,
    undo_btn=None,
    theme="syddharth/gray-minimal"  # Hinzufügen des Themes hier
)

demo.queue().launch(show_api=False)