Update app.py

app.py

@@ -7,6 +7,7 @@ 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
 
 # Define the Gradio interface