Update app.py

app.py

@@ -7,8 +7,8 @@ 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=False)
-    print (embeddings.shape)
-    return embeddings  # Convert tensor to list for Gradio
+    shape= embeddings.shape
+            return embeddings, shape  # Convert tensor to list for Gradio
 
 # Define the Gradio interface
 interface = gr.Interface(