Update app.py

app.py

@@ -69,7 +69,10 @@ if uploaded_file:
             HF_token = "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"
             embeddings = HuggingFaceInferenceAPIEmbeddings(api_key=HF_token, model_name="BAAI/bge-base-en-v1.5")
 
-            # Create a vector store
+            # Debug: Check the length of chunked_documents
+            st.write(f"Number of document chunks: {len(chunked_documents)}")
+
+            # Attempt to create vector store
             try:
                 vectorstore = Chroma.from_documents(chunked_documents, embeddings)
                 retriever = vectorstore.as_retriever(search_type="mmr", search_kwargs={"k": 3})
@@ -81,5 +84,7 @@ if uploaded_file:
                     response = answer_with_retrieval(query, retriever)
                     st.write("### Response")
                     st.write(response)
+            except IndexError as ie:
+                st.error(f"IndexError during vector store creation: {str(ie)}")
             except Exception as e:
                 st.error(f"Error creating vector store or generating embeddings: {str(e)}")