Create app.py
Browse files
app.py
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import uvicorn
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import logging
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import os
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from fastapi import FastAPI, Request
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import httpx
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from transformers import pipeline
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from langdetect import detect
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from huggingface_hub import login
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app = FastAPI()
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# Global variables
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TOKEN = os.getenv("TELEGRAM_BOT_TOKEN") # Telegram Token
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HF_HUB_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
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# Verify Hugging Face token
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if not HF_HUB_TOKEN:
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raise ValueError("Missing Hugging Face API token. Please set HUGGINGFACEHUB_API_TOKEN in environment variables.")
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login(token=HF_HUB_TOKEN)
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# Verify Telegram token
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if not TOKEN:
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raise ValueError("Missing Telegram token. Please set TELEGRAM_BOT_TOKEN in environment variables.")
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try:
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response = httpx.get(f"https://api.telegram.org/bot{TOKEN}/getMe")
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print(f"Using TELEGRAM_TOKEN: {TOKEN[:5]}***") # Part of the token
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print(response.json())
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except httpx.RequestError as e:
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print(f"aaRequest failed: {e}")
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# Configure logging
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logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Load Hebrew and English text generation models
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hebrew_generator = pipeline("text-generation", model="Norod78/hebrew-gpt_neo-small")
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english_generator = pipeline("text-generation", model="distilgpt2")
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# Function to detect language
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def detect_language(user_input):
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try:
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lang = detect(user_input)
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return "hebrew" if lang == "he" else "english" if lang == "en" else "unsupported"
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except:
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return "unsupported"
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# Function to generate a response
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def generate_response(text):
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language = detect_language(text)
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if language == "hebrew":
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return hebrew_generator(text, max_length=100)[0]["generated_text"]
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elif language == "english":
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return english_generator(text, max_length=100)[0]["generated_text"]
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return "Sorry, I only support Hebrew and English."
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@app.get("/")
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async def root():
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return {"message": "Server is running on HF Spaces"}
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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