Update app.py

app.py

@@ -9,7 +9,7 @@ toxic_model = pipeline("text-classification", model="Matt09Miao/GP5_tweet_toxic"
 # text2story
 def text2story(text):
     pipe = pipeline("text-generation", model="distilbert/distilgpt2")
-    tweet_text_text = pipe(text)[0]['generated_text']
+    tweet_text = pipe(text)[0]['generated_text']
     return tweet_text
 
 # text2audio
@@ -29,7 +29,7 @@ if input is not None:
 
     #Stage 1: Input to Tweet
     st.text('Generating a Tweet...')
-    tweet = text2story(input,max_length=45, num_return_sequences=01)
+    tweet = text2story(input)
     st.write(tweet）
     
     #Stage 2: Tweet Toxicity Analysis