Update app.py

app.py

@@ -455,20 +455,33 @@ def get_response_from_pdf(query, model, selected_docs, num_calls=3, temperature=
     if os.path.exists("faiss_database"):
         logging.info("Loading FAISS database")
         database = FAISS.load_local("faiss_database", embed, allow_dangerous_deserialization=True)
+        
+        # Log the contents of the FAISS database
+        logging.info(f"FAISS database contains {len(database.docstore._dict)} documents")
+        for doc_id, doc in database.docstore._dict.items():
+            logging.info(f"Document ID: {doc_id}, Source: {doc.metadata['source']}")
     else:
         logging.warning("No FAISS database found")
         yield "No documents available. Please upload PDF documents to answer questions."
         return
 
-    retriever = database.as_retriever(search_kwargs={"k": 20})  # Increased k to 10
+    retriever = database.as_retriever(search_kwargs={"k": 20})
     logging.info(f"Retrieving relevant documents for query: {query}")
     relevant_docs = retriever.get_relevant_documents(query)
     logging.info(f"Number of relevant documents retrieved: {len(relevant_docs)}")
     
+    # Log details of retrieved documents
+    for i, doc in enumerate(relevant_docs):
+        logging.info(f"Relevant doc {i}: Source: {doc.metadata['source']}, Content preview: {doc.page_content[:100]}...")
+    
     # Filter relevant_docs based on selected documents
     filtered_docs = [doc for doc in relevant_docs if doc.metadata["source"] in selected_docs]
     logging.info(f"Number of filtered documents: {len(filtered_docs)}")
     
+    # Log details of filtered documents
+    for i, doc in enumerate(filtered_docs):
+        logging.info(f"Filtered doc {i}: Source: {doc.metadata['source']}, Content preview: {doc.page_content[:100]}...")
+
     if not filtered_docs:
         logging.warning(f"No relevant information found in the selected documents: {selected_docs}")
         yield "No relevant information found in the selected documents. Please try selecting different documents or rephrasing your query."