Update app.py

app.py

@@ -6,8 +6,8 @@ embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
 
 # Define the function to process requests
 def generate_embeddings(chunks):
-    embeddings = embedding_model.encode(chunks, convert_to_tensor=True)
-    return embeddings.tolist()  # Convert tensor to list for Gradio
+    embeddings = embedding_model.encode(chunks, convert_to_tensor=False)
+    return embeddings  # Convert tensor to list for Gradio
 
 # Define the Gradio interface
 interface = gr.Interface(