Update app.py

app.py

@@ -69,33 +69,35 @@ def preprocess_text(text):
     sentences = sent_tokenize(text)
     return sentences
 
-def upload_files(file):
+def upload_files(files):
     global faiss_index
     try:
-        if file.name.endswith('.pdf'):
-            text = extract_text_from_pdf(file.read())
-        elif file.name.endswith('.docx'):
-            text = extract_text_from_docx(file.read())
-        else:
-            return {"error": "Unsupported file format"}
-
-        # Preprocess text
-        sentences = preprocess_text(text)
-
-        # Encode sentences and add to FAISS index
-        embeddings = embedding_model.encode(sentences)
-        for embedding in embeddings:
-            faiss_index.add(np.expand_dims(embedding, axis=0))
+        for file in files:
+            if file.name.endswith('.pdf'):
+                text = extract_text_from_pdf(file.read())
+            elif file.name.endswith('.docx'):
+                text = extract_text_from_docx(file.read())
+            else:
+                return {"error": "Unsupported file format"}
+
+            # Preprocess text
+            sentences = preprocess_text(text)
+
+            # Encode sentences and add to FAISS index
+            embeddings = embedding_model.encode(sentences)
+            for embedding in embeddings:
+                faiss_index.add(np.expand_dims(embedding, axis=0))
 
         # Save the updated index
         with open(index_path, "wb") as f:
             pickle.dump(faiss_index, f)
 
-        return {"message": "File processed successfully"}
+        return {"message": "Files processed successfully"}
     except Exception as e:
-        print(f"Error processing file: {e}")
+        print(f"Error processing files: {e}")
         return {"error": str(e)}  # Provide informative error message
 
+
 def process_and_query(state, question):
     if question:
         # Preprocess the question