Update app.py

app.py

@@ -31,12 +31,13 @@ def chunk_text(text, chunk_size=250, chunk_overlap=50):
 embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 def build_faiss_vectorstore(chunks):
     vectorstore = FAISS.from_texts(chunks, embedding_model)
+    num_documents = len(vectorstore.index_to_docstore_id)
+    print(f"Total number of documents: {num_documents}")
     return vectorstore
 
 # Function to retrieve similar text
 def retrieve(query, vectorstore, top_k=5):
     docs_and_scores = vectorstore.similarity_search_with_score(query=query, k=top_k)
-    print(f"Vectorstore built with {len(vectorstore)} documents.")  # Debugging line
     return docs_and_scores
     
 class ChatRequest(BaseModel):