Update app.py

app.py

@@ -74,20 +74,18 @@ interface_words = gr.Interface(
 # )
 # interface_model_L.load("models/DReAMy-lib/xlm-roberta-large-DreamBank-emotion-presence")
 
-pipe_S = pipeline("text2text-generation", model="DReAMy-lib/t5-base-DreamBank-Generation-Emot-Char")
+pipe_S = pipeline("text-classification", model="DReAMy-lib/bert-base-cased-DreamBank-emotion-presence")
 def predict(text):
     t = pipe_S(text)
-    print(t)
     return t
 interface_model_S =  gr.Interface(
         fn=pipe_S,
         inputs='text',
-        # outputs='label',
+        outputs='label',
         title="SA Base English-Only",
         description=description_S,
         examples = ["I was followed by the blue monster but was not scared. I was calm and relaxed."],
         cache_examples=True,
-
 )
 
 # interface_model_G = gr.Interface.load(