lefg

app.py

@@ -2226,18 +2226,12 @@ async def _generate_deep_analysis_stream(session_state: dict, goal: str, session
 
         # Get dataset info
         datasets = session_state["datasets"]
+        desc = session_state['description']
         
         # Generate dataset info for all datasets
-        dataset_info_parts = []
-        for dataset_name, dataset_df in datasets.items():
-            dtypes_info = pd.DataFrame({
-                'Column': dataset_df.columns,
-                'Data Type': dataset_df.dtypes.astype(str)
-            }).to_markdown()
-            
-            dataset_info_parts.append(f"Dataset '{dataset_name}':\nSample Data:\n{dataset_df.head(2).to_markdown()}\n\nData Types:\n{dtypes_info}")
+
         
-        dataset_info = "\n\n".join(dataset_info_parts)
+        dataset_info = desc