Update app.py

app.py

@@ -3,22 +3,15 @@ import gradio as gr
 from fastai.vision.all import *
 
 # repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
-repo_id = "allopeap/emociones"
+repo_id = "allopeap/Emociones2"
 
 learner = from_pretrained_fastai(repo_id)
 labels = learner.dls.vocab
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(text):
-    output  = learner.predict(text)
-    print("Output of learner.predict:", output)
-    if len(output) == 3:
-        pred, _, probs = output
-    elif len(output) == 2:
-        pred, probs = output
-    else:
-        raise ValueError("Unexpected output format from learner.predict")
-
+    
+    pred, _, probs = learner.predict(txt)
     # Convertir la predicción a etiqueta
     if pred == '0':
         return "Positive"