Update app.py

app.py

@@ -25,12 +25,12 @@ def response(user_question, table_data):
     # Experiment with generation parameters
     outputs = model.generate(
         **encoding,
-        num_beams=5,            # Beam search to generate more diverse responses
-        top_k=50,               # Top-k sampling for diversity
-        top_p=0.95,             # Nucleus sampling
-        temperature=0.7,        # Temperature scaling (if supported by the model)
-        max_length=50,          # Limit the length of the generated response
-        early_stopping=True     # Stop generation when an end token is generated
+        #num_beams=5,            # Beam search to generate more diverse responses
+        #top_k=50,               # Top-k sampling for diversity
+        #top_p=0.95,             # Nucleus sampling
+        #temperature=0.7,        # Temperature scaling (if supported by the model)
+        #max_length=50,          # Limit the length of the generated response
+        #early_stopping=True     # Stop generation when an end token is generated
     )
 
     ans = tokenizer.batch_decode(outputs, skip_special_tokens=True)