Update app.py

app.py

@@ -5,11 +5,14 @@ from transformers import pipeline
 
 toxic_model = pipeline("text-classification", model="Matt09Miao/GP5_tweet_toxic")  
     
-
+def text2audio(text):
+    pipe = pipeline("text-to-audio", model="Matthijs/mms-tts-eng")
+    audio_data = pipe(text)
+    return audio_data
 
 st.set_page_config(page_title="Tweet Toxicity Analysis")
 
-st.header("Please input your Tweet for Toxicity Analysis :performing_arts:")
+st.header("Please input a Tweet for Toxicity Analysis :performing_arts:")
 input = st.text_area("Enter a Tweer for analysis")
 result = toxic_model(input)
 
@@ -18,4 +21,7 @@ st.write("Tweet:", input)
 st.write("label:", result[0]['label'])
 st.write("score:", result[0]['score'])
 
+text2audio("Tweet:", input)
+text2audio"label:", result[0]['label'])
+text2audio("score:", result[0]['score'])