Update app.py

app.py

@@ -29,23 +29,21 @@ def ask_llm_chunk(chunk, questions):
     answers = []
     for coordinates in predicted_answer_coordinates:
         if len(coordinates) == 1:
-            # Debugging lines
-            st.write(f"DataFrame shape: {chunk.shape}")
-            st.write(f"DataFrame columns: {chunk.columns}")
-            st.write(f"Trying to access row {coordinates[0][0]}, col {coordinates[0][1]}")
-            st.write(f"Testing DataFrame iloc: {chunk.iloc[coordinates[0][0], coordinates[0][1]]}")
-
-
             row, col = coordinates[0]
             try:
+                st.write(f"DataFrame shape: {chunk.shape}")  # Debugging line
+                st.write(f"DataFrame columns: {chunk.columns}")  # Debugging line
+                st.write(f"Trying to access row {row}, col {col}")  # Debugging line
                 value = chunk.iloc[row, col]
+                st.write(f"Value accessed: {value}")  # New debugging line
                 if isinstance(value, pd.Series):
                     answers.append(value.values)
                 else:
                     answers.append(value.item() if hasattr(value, 'item') else value)
             except Exception as e:
-                st.write(f"An error occurred: {e}")
-                answers.append("Error")
+                st.write(f"Exception type: {type(e)}")  # New debugging line
+                st.write(f"Exception args: {e.args}")  # New debugging line
+                st.write(f"An error occurred: {e}")  # Existing debugging line
         else:
             cell_values = []
             for coordinate in coordinates: