Create app.py

app.py

@@ -0,0 +1,41 @@
+from huggingface_hub import from_pretrained_fastai
+
+from fastai.text.all import *
+
+import gradio as gr
+
+
+
+
+
+
+# Cargamos el learner
+
+learner = from_pretrained_fastai('osrojo/learnClass')
+
+
+# Definimos las etiquetas de nuestro modelo
+
+labels = ['0','1','2','3']
+
+
+example1 = 'shaft abrasions from panties merely shifted to the side'
+
+example2 = "I'm changing the snowman's into awful looking monsters at night. Its so funny when their owners encounter them and scream!"
+
+example3 = "Don't be afraid of your fears. Their purpose is not to frighten you, but enlighten you and lead you into a better future."
+
+example4 = "I've finished reading it; simply mind-blogging. The writer said 'to be continued' but I haven't found part 2."
+
+# Definimos una función que se encarga de llevar a cabo las predicciones
+
+def predict(text):
+
+pred,pred_idx, probs = learner.predict(text)
+
+return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+# Creamos la interfaz y la lanzamos. 
+
+gr.Interface(fn=predict, inputs=gr.Textbox(), outputs=gr.Label(),examples=[example1,example2,example3,example4]).launch(share=False)