Update app.py

app.py

@@ -114,7 +114,12 @@ def process_pdf(pdf_file):
     combined_texts = chunks + caps
     combined_vectors = tvecs[:text_count] + ivecs
 
-    index = FAISS.from_embeddings(texts=combined_texts, embeddings=combined_vectors)
+    index = # Build FAISS index from precomputed multimodal vectors:
+# (swap order: first embeddings, then texts)
+index = FAISS.from_embeddings(
+    combined_vectors,
+    combined_texts
+)
     retriever = index.as_retriever(search_kwargs={"k":2})
     status = f"✅ Indexed '{current_pdf_name}' — {len(chunks)} text chunks + {len(imgs)} images"
     return current_pdf_name, status, gr.update(interactive=True)