Update app.py

app.py

@@ -5,15 +5,10 @@ from transformers import pipeline
 classifier3 = pipeline('text-classification', model='nlmaldonadog/clasificador-rotten-tomatoes-bert-base-uncased')
 classifier4 = pipeline('text-classification', model='nlmaldonadog/clasificador-rotten-tomatoes-xlnet-base-cased')
 
-def val_label(lab):
-    if lab == "LABEL_1":
-        return "Positive"
-    return "Negative"
-
 def predict(text):
-    m3 = classifier3(text)[0]
-    prediction = f"Model 3: {val_label(m3['label'])} with {m3['score']} of confidence.\nModel 4: {val_label(m4['label'])} with {m4['score']} of confidence."
-    return prediction
+    prediction3 = "Model 3 " + str(classifier3(text))
+    prediction4 = "\nModel 4 " + str(classifier4(text))
+    return prediction3 + prediction4
 
 ifg = gr.Interface(fn=predict, inputs=[gr.Textbox(placeholder='Escribe aquí...')], outputs="text")
 ifg.launch(share=True)