Update app.py

app.py

@@ -30,10 +30,11 @@ def get_types(cls_set: List[Type], component: str):
 routes.get_types = get_types
 
 def cut(prom, out):
-    output = out[len(prom)-2:]
+    output = out[len(prom)-1:]
     output = output.split('<|endoftext|>')[0]
     output = output.split('\n')[0]
     output = re.sub('[=+#/\:@*\"※ㆍ』‘|\\\<\>\(\)\[\]`\'…》\”\“\’·]', ' ', output)
+    outout = output.replace("하하", "ㅎㅎ")
     return output
 # App code
 def mbti(x):
@@ -48,12 +49,13 @@ def mbti(x):
     return r
     
 def chat(x):
+    x = f"[너는 질문하기를 좋아해. 너는 긍정적이고 공감을 잘하는 성격이야. 지금 너는 친구와 대화하고 있어. 단계별로 생각해서 자연스럽게 대답해줘.] {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
 		50,	    # int, representing input in 'Top-k (nucleus sampling)' Slider component
 		0.8,	# float, representing input in 'Temperature' Slider component
-		22,	    # int, representing input in 'Max New Tokens' Slider component
+		25,	    # int, representing input in 'Max New Tokens' Slider component
 		1.1,	# float, representing input in 'repetition_penalty' Slider component
 		fn_index=0
     )