Update app.py

app.py

@@ -1,20 +1,19 @@
-from fastai.vision.all import *
+from fastai.text.all import *
 import gradio as gr
 
 
 # Cargamos el learner
-learn = load_learner('export.pkl')
+learn = load_learner('export (2).pkl')
 
 # Definimos las etiquetas de nuestro modelo
 labels = learn.dls.vocab
 
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
-def predict(img):
-    img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
+def predict(sentence):
+    pred,pred_idx,probs = learn.predict(sentence)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
     
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['00000015.jpg','00000008.png']).launch(share=False)
+gr.Interface(fn=predict, inputs="text", outputs=gr.outputs.Label(num_top_classes=3),examples=['I am sad today','I feel romantic too']).launch(share=False)