Update app.py

app.py

@@ -8,27 +8,26 @@ def tester(text):
   #classifier = pipeline("sentiment-analysis", model='arpanghoshal/EmoRoBERTa')
   #classifier = pipeline("sentiment-analysis", model='cardiffnlp/twitter-roberta-base-emotion')
   #classifier = pipeline("sentiment-analysis", 'j-hartmann/emotion-english-distilroberta-base')
-  classifier = pipeline("sentiment-analysis", model='cardiffnlp/twitter-roberta-base-emotion')
+  classifier = pipeline("sentiment-analysis", model='bhadresh-savani/distilbert-base-uncased-emotion')
   
-  
-
+ 
   results = classifier(text)
   st.write(results[0]['label'])
   
   if (results[0]['label']=="anger"):
-    st_player("https://youtu.be/CmSKVW1v0xM")
+    st_player("https://www.youtube.com/watch?v=kh0BWQ4Uo6w")
     
   elif (results[0]['label']=="disgust"):
-    st_player("https://youtu.be/CmSKVW1v0xM")
+    st_player("https://www.youtube.com/watch?v=zWq2TT3ieGE")
     
   elif (results[0]['label']=="fear"):
-    st_player("https://youtu.be/CmSKVW1v0xM")
+    st_player("https://www.youtube.com/watch?v=iyEUvUcMHgE")
     
   elif (results[0]['label']=="joy"):
-    st_player("https://youtu.be/CmSKVW1v0xM")
+    st_player("https://www.youtube.com/watch?v=1k8craCGpgs")
     
   elif (results[0]['label']=="sadness"):
-    st_player("https://open.spotify.com/playlist/37i9dQZF1E4s6KXygylRFz")
+    st_player("https://www.youtube.com/watch?v=BZsXcc_tC-oautoplay=1")
     
   elif (results[0]['label']=="surprise"):
     st_player("https://youtu.be/CmSKVW1v0xM")
@@ -37,7 +36,7 @@ def tester(text):
   return results[0]['label']
   #return results
 
-emo = st.text_input('Enter text here:')
+emo = st.text_input('This application detects the emotion in your text input and suggests a song that matches it. Please enter text below to try:')
 tester(emo)