Update app.py

app.py

@@ -34,7 +34,11 @@ embeddings = generate_embeddings(content)
 
 # Add the embeddings to Chroma
 for idx, text in enumerate(content):
-    collection.add(embedding=embeddings[idx], document=text, metadatas={"id": idx})
+    collection.add_documents(
+        documents=[text],  # the document (text) itself
+        metadatas=[{"id": idx}],  # metadata associated with the document
+        embeddings=[embeddings[idx]]  # the corresponding embeddings for the document
+    )
 
 # Build FAISS index for efficient retrieval
 embeddings_np = np.array(embeddings).astype('float32')