from huggingface_hub import InferenceAPI
from urllib.parse import urlparse, parse_qs
import gradio as gr

api = InferenceAPI("mistralai/Mistral-7B-Instruct-v0.1")

def format_prompt(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(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 = format_prompt(prompt, history)
    response = api.generate_text(formatted_prompt, **generate_kwargs)
    return response

def chatbot(message):
    history = []
    response = generate(message, history)
    history.append(("User", message))
    history.append(("ChatBot", response))
    return response

def get_message_from_url():
    url = urlparse(gradio.Interface.get_share_url())
    query_params = parse_qs(url.query)
    if "message" in query_params:
        return query_params["message"][0]
    return ""

message = get_message_from_url()
inputs = gr.inputs.Textbox(lines=2, placeholder="Type your message here...", initial_message=message)
outputs = gr.outputs.Textbox()

title = "Mistral 7B Chatbot"
description = "Chat with Mistral 7B, a powerful language model!"

gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=title, description=description).launch()