app.py

import gradio as gr
import g4f
import telebot
import nest_asyncio
from g4f import Provider, models
from langchain.llms.base import LLM

from langchain_g4f import G4FLLM
from gradio_client import Client


client = Client("https://docfile-lll.hf.space/")

nest_asyncio.apply()
bot = telebot.TeleBot("6459409517:AAFt4bQkR5T2Wl-ojErf2yv-_I0LxF87QFQ")

@bot.message_handler(commands=['start', 'help'])
def send_welcome(message):
	bot.reply_to(message, "Howdy, how are you doing? Hein ? ")

@bot.message_handler(func=lambda message: True)
def echo_all(message):
    user_input = message.text
    print(user_input)
    user_input = str(user_input)
    #response = g4f.ChatCompletion.create(model="gpt-3.5-turbo",provider=g4f.Provider.ChatgptLogin,messages=[{"role": "user", "content":user_input}],stream=False)
    llm = LLM = G4FLLM(
        model=models.gpt_35_turbo,
        provider=Provider.ChatgptLogin,
    )

    #res = llm(user_input)

    
    result = client.predict(
				user_input,	# str in 'query' Textbox component
				api_name="/predict")
    bot.reply_to(message,result)

#bot.infinity_polling()
def addition(nombre1, nombre2):
    resultat = nombre1 + nombre2
    bot.infinity_polling()
    return resultat
    

interface = gr.Interface(fn=addition, inputs=["number", "number"], outputs="number", live=True, title="Calculatrice") 
interface.launch()