Update app.py

app.py

@@ -44,10 +44,10 @@ def create_response_original(input_str,
   input_ids = tokenizer.encode(input_str + tokenizer.eos_token, return_tensors="pt")
   #output_ids = fine_tuned_model.generate(input_ids,do_sample=True, max_length=100, temperature=0.2, top_p=0.9, repetition_penalty=1.5,num_return_sequences=6)                                
   output_ids = fine_tuned_model.generate(input_ids,do_sample=True, max_length=100, temperature=temperature, top_p=top_p, repetition_penalty=repetition_penalty,num_return_sequences=num_return_sequences)                                
-  outputs = ""                                 
+  outputs = []]                                 
   for output_id in output_ids:
     output = tokenizer.decode(output_id, skip_special_tokens=True)
-    outputs= outputs+output+"<br/>"
+    outputs.append(output)
   return outputs
 
 def create_response_fine_tuned(input_str):
@@ -98,7 +98,7 @@ interface1 = gr.Interface(fn=create_response_original,
                           "If is set to True, the generate function will use stochastic sampling, which means that it will randomly" +
                           " select a word from the probability distribution at each step. This results in a more diverse and creative" +
                           " output, but it might also introduce errors and inconsistencies ", value=True)
-    ], outputs="text")
+    ], outputs=[gr.Textbox(label="output response", lines=30)])
 interface2 = gr.Interface(fn=create_response_fine_tuned, inputs="text", outputs="text", title="Fine Tuned")
 demo = gr.TabbedInterface([interface1, interface2], ["Original", "Fine Tuned"])
 # with gr.Blocks() as demo: