Update app.py

app.py

@@ -58,17 +58,25 @@ def get_conversational_chain():
 
 
 def user_input(user_question):
-    embeddings = GoogleGenerativeAIEmbeddings(model = "models/embedding-001")
-    
-    new_db = FAISS.load_local("faiss_index", embeddings)
+    embeddings = GoogleGenerativeAIEmbeddings(model="models/embedding-001")
+
+    # Load the FAISS index with safe deserialization
+    new_db = FAISS.load_local("faiss_index", embeddings, allow_dangerous_deserialization=False)
+    if not new_db:
+        # If the index doesn't exist, create it
+        raw_text = get_pdf_text(pdf_docs)
+        text_chunks = get_text_chunks(raw_text)
+        get_vector_store(text_chunks)
+        new_db = FAISS.load_local("faiss_index", embeddings)
+
     docs = new_db.similarity_search(user_question)
 
     chain = get_conversational_chain()
 
-    
     response = chain(
-        {"input_documents":docs, "question": user_question}
-        , return_only_outputs=True)
+        {"input_documents": docs, "question": user_question},
+        return_only_outputs=True
+    )
 
     print(response)
     st.write("Reply: ", response["output_text"])