Update app.py

app.py

@@ -71,7 +71,7 @@ def classify_batch_emails(emails: List[str]) -> List[Dict[str, Any]]:
     
     try:
         # Clean and truncate texts
-        cleaned_emails = [email.strip()[:5000] for email in emails]
+        cleaned_emails = [email.strip()[:1000] for email in emails]
         
         # Get batch predictions
         predictions = model.predict(cleaned_emails)
@@ -134,7 +134,7 @@ model_loaded = load_model()
 if not model_loaded:
     logger.warning("Model failed to load - using dummy responses")
     def classify_single_email(email_text: str):
-        return {"label": "job", "score": 0.95, "success": True, "note": "Using dummy classifier"}
+        return {"label": "applied", "score": 0.95, "success": True, "note": "Using dummy classifier"}
 
 # Create Gradio interface
 with gr.Blocks(title="Email Classifier", theme=gr.themes.Soft()) as demo: