backend commit

app/main.py

@@ -22,7 +22,7 @@ if not GROQ_API_KEY:
     logger.error("GROQ_API_KEY not found in environment variables.")
     raise Exception("GROQ_API_KEY not found in environment variables.")
 
-# Log and clear proxy environment variables to avoid 'proxies' error
+# Log and clear proxy environment variables
 logger.info(f"HTTP_PROXY: {os.environ.get('HTTP_PROXY')}")
 logger.info(f"HTTPS_PROXY: {os.environ.get('HTTPS_PROXY')}")
 os.environ.pop("HTTP_PROXY", None)
@@ -40,10 +40,10 @@ except Exception as e:
 
 app = FastAPI()
 
-# Enable CORS to allow frontend communication
+# Enable CORS
 app.add_middleware(
     CORSMiddleware,
-    allow_origins=["*"],  # Adjust to specific frontend URL in production
+    allow_origins=["*"],
     allow_credentials=True,
     allow_methods=["*"],
     allow_headers=["*"],
@@ -76,15 +76,23 @@ goals_df['y_coord'] = np.random.uniform(20, 80, len(goals_df)).round()
 teams = set(matches_df['home_team'].unique()).union(set(matches_df['away_team'].unique()))
 players = sorted([str(scorer) for scorer in goals_df['scorer'].dropna().unique() if pd.notna(scorer)])
 
+# Load models with detailed logging
 try:
+    logger.info("Loading logistic_regression_model.pkl")
     logistic_model = joblib.load('model/logistic_regression_model.pkl')
+    logger.info("Loading linear_regression_team1_goals.pkl")
     linear_model_team1 = joblib.load('model/linear_regression_team1_goals.pkl')
+    logger.info("Loading linear_regression_team2_goals.pkl")
     linear_model_team2 = joblib.load('model/linear_regression_team2_goals.pkl')
+    logger.info("Loading label_encoder.pkl")
     le = joblib.load('model/label_encoder.pkl')
     logger.info("Models loaded successfully.")
 except FileNotFoundError as e:
-    logger.error(f"Model files not found: {e}")
+    logger.error(f"Model file not found: {e}")
     raise HTTPException(status_code=500, detail="Trained model files not found.")
+except Exception as e:
+    logger.error(f"Error loading models: {str(e)}")
+    raise HTTPException(status_code=500, detail=f"Model loading failed: {str(e)}")
 
 def summarize_with_groq(text):
     try: