Run FastAPI as subprocess in app.py

api.py

@@ -1,82 +0,0 @@
-from fastapi import FastAPI, HTTPException
-from pydantic import BaseModel
-import utils
-from deep_translator import GoogleTranslator
-from gtts import gTTS
-import base64
-import io
-import json
-import uvicorn
-import logging
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-app = FastAPI(title="News Analysis API")
-translator = GoogleTranslator(source='en', target='hi')
-
-class CompanyRequest(BaseModel):
-    company_name: str
-
-@app.post("/api/fetch_news")
-async def fetch_news(request: CompanyRequest):
-    try:
-        company_name = request.company_name.strip().lower()
-        if not company_name:
-            raise HTTPException(status_code=400, detail="Company name is required")
-        
-        logger.info(f"Fetching news for {company_name}")
-        file_name = utils.fetch_and_save_news(company_name)
-        if not file_name:
-            logger.warning(f"No news found for {company_name}")
-            raise HTTPException(status_code=404, detail=f"No news found for {company_name}")
-        
-        with open(file_name, "r", encoding="utf-8") as file:
-            content = file.read()
-        
-        try:
-            news_data = json.loads(content)  # Should work with updated utils.py
-            logger.info(f"Successfully parsed news data for {company_name}")
-            return news_data
-        except json.JSONDecodeError as e:
-            logger.error(f"JSON parsing failed: {str(e)}", exc_info=True)
-            raise HTTPException(status_code=500, detail=f"Error parsing JSON: {str(e)}")
-    
-    except Exception as e:
-        logger.error(f"Error in fetch_news: {str(e)}", exc_info=True)
-        raise HTTPException(status_code=500, detail=f"Error fetching news: {str(e)}")
-
-@app.post("/api/text_to_speech")
-async def text_to_speech(request: CompanyRequest):
-    try:
-        company_name = request.company_name.strip().lower()
-        if not company_name:
-            raise HTTPException(status_code=400, detail="Company name is required")
-        
-        file_name = f"{company_name}_news.txt"
-        try:
-            with open(file_name, "r", encoding="utf-8") as file:
-                news_data = json.load(file)
-            sentiment_text = news_data.get("Final Sentiment Analysis", "")
-            if not sentiment_text:
-                raise HTTPException(status_code=404, detail="Sentiment analysis not found")
-            
-            hindi_text = translator.translate(sentiment_text)
-            tts = gTTS(text=hindi_text, lang='hi')
-            mp3_fp = io.BytesIO()
-            tts.write_to_fp(mp3_fp)
-            mp3_fp.seek(0)
-            audio_base64 = base64.b64encode(mp3_fp.read()).decode('utf-8')
-            return {"text": hindi_text, "audio_base64": audio_base64}
-        except FileNotFoundError:
-            raise HTTPException(status_code=404, detail=f"News file for {company_name} not found")
-    except Exception as e:
-        logger.error(f"Error in text_to_speech: {str(e)}", exc_info=True)
-        raise HTTPException(status_code=500, detail=f"Error generating speech: {str(e)}")
-
-@app.get("/api/health")
-async def health_check():
-    return {"status": "healthy"}
-
-if __name__ == "__main__":
-    uvicorn.run("api:app", host="0.0.0.0", port=8000, reload=True)