Update app.py

app.py

@@ -33,24 +33,8 @@ def chat(x):
     x = f"[***너는 Assistant입니다. 상대에게 다양한 질문을 하며 대화를 이끌고 있습니다. Human에게 긍정적이고, 공감하며, 최대한 길게 대답해주세요***]\nHuman: {x}\n\n###\nAssistant:"
 
     print("\n___________________\n" + f"{x}")
-    result = gradio_client.predict(
-        x,
-        # str representing input in 'User input' Textbox component
-		0.91,	# float, representing input in 'Top-p (nucleus sampling)' Slider component
-		40,	    # int, representing input in 'Top-k (nucleus sampling)' Slider component
-		0.65,	# float, representing input in 'Temperature' Slider component
-		20,	    # int, representing input in 'Max New Tokens' Slider component
-		1.2,	# float, representing input in 'repetition_penalty' Slider component
-		fn_index=0
-    )
-    result = str(result)
-    output = result[len(x.rsplit(':', 1)[0])+2:]
-    output = re.sub('하하','ㅎㅎ', output)
-    output = output.split('띓')[0]
-    output = output.split('endoftext')[0]
-    output = re.sub('[=+#/\:@*\"※ㆍ』‘|\\\<\>\(\)\[\]`\'…》\”\“\’·]', '', output)
-    #output = re.sub('[a-zA-Z]',' ',output)
-
+    
+    output = "Hello?"
     return output
 
 with gr.Blocks() as demo: