Update app.py

app.py

@@ -40,16 +40,32 @@ try:
     rag_pipeline = RAGPipeline()
     print("RAG Pipeline initialized successfully.")
     pipeline_status = "✅ System Ready"
+    pipeline_error = None
 except Exception as e:
     print(f"FATAL: Failed to initialize RAG Pipeline: {e}")
     rag_pipeline = None
-    pipeline_status = f"❌ System Error: {str(e)}"
+    pipeline_status = f"❌ System Error"
+    pipeline_error = str(e)
 
 # --- Define the main query function ---
 def get_answer_from_pipeline(query, num_sources, temperature):
     if rag_pipeline is None:
+        error_detail = pipeline_error if 'pipeline_error' in globals() else "Unknown error"
         return (
-            "❌ **Error**: The RAG pipeline failed to initialize on the server.",
+            f"""❌ **System Initialization Error**
+
+The RAG pipeline failed to initialize. This is usually due to one of the following:
+
+1. **Model Loading Error**: The LLM model failed to load. Try using a different model.
+2. **Missing Dependencies**: Ensure all required packages are installed:
+   ```bash
+   pip install ctransformers sentence-transformers faiss-cpu
+   ```
+3. **Insufficient Memory**: The model might be too large for your system.
+
+**Error Details**: {error_detail}
+
+**Suggested Fix**: Edit the pipeline.py file and switch to TinyLlama model (Option 4) for better compatibility.""",
             "",
             gr.update(visible=False),
             0