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import subprocess
import os
import logging
import time
from fastapi import FastAPI, Request
from transformers import pipeline
from huggingface_hub import InferenceClient, login
import langid
import asyncio
# Environment variables
HF_HUB_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
if not HF_HUB_TOKEN:
raise ValueError("Missing Hugging Face API token. Please set HUGGINGFACEHUB_API_TOKEN.")
login(token=HF_HUB_TOKEN)
client = InferenceClient(api_key=HF_HUB_TOKEN)
app = FastAPI()
# Function to detect language
def detect_language(user_input):
try:
lang, _ = langid.classify(user_input)
return "hebrew" if lang == "he" else "english" if lang == "en" else "unsupported"
except Exception as e:
logging.error(f"Language detection error: {e}")
return "unsupported"
# Function to generate response
def generate_response(text):
language = detect_language(text)
if language == "hebrew":
content = "转注谞讛 讘拽爪专讛 讗讘诇 转砖转祝 讗转 转讛诇讬讱 拽讘诇转 讛讛讞诇讟讜转 砖诇讱, " + text
model = "microsoft/Phi-3.5-mini-instruct"
elif language == "english":
content = "keep it short but tell your decision making process, " + text
model = "mistralai/Mistral-Nemo-Instruct-2407"
else:
return "Sorry, I only support Hebrew and English."
messages = [{"role": "user", "content": content}]
completion = client.chat.completions.create(
model=model,
messages=messages,
max_tokens=2048,
temperature=0.5,
top_p=0.7
)
return completion.choices[0].message.content
@app.post("/generate_response")
async def generate_text(request: Request):
try:
data = await request.json()
text = data.get("text", "").strip()
if not text:
return {"error": "No text provided"}
response = generate_response(text)
return {"response": response}
except Exception as e:
logging.error(f"Error processing request: {e}")
return {"error": "An unexpected error occurred."}
@app.get("/")
async def root():
return {"message": "Decision Helper API is running!"}
# Function to run bot.py
def run_bot():
logging.info("Starting Telegram bot...")
subprocess.Popen(["python3", "bot.py"])
if __name__ == "__main__":
run_bot()
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860)
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