Update app.py

app.py

@@ -40,8 +40,13 @@ def load_pdf_and_generate_embeddings(pdf_doc, open_ai_key, relevant_pages):
             
              
         #To create a vector store, we use the Chroma class, which takes the documents (pages in our case) and the embeddings instance
-        vectordb = Chroma.from_documents(documents=pages_to_be_loaded, embedding=embeddings, persist_directory='db')
-        print("Vectordb has been created")
+        try:
+            vectordb = Chroma.from_documents(documents=pages_to_be_loaded, embedding=embeddings, persist_directory='db')
+            print("Vectordb has been created")
+        except:
+            traceback.print_exc()
+        #vectordb = Chroma.from_documents(documents=pages_to_be_loaded, embedding=embeddings, persist_directory='db')
+        #print("Vectordb has been created")
         
         #Finally, we create the bot using the RetrievalQA class
         global pdf_qa