Create app.py

app.py

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+from huggingface_hub import from_pretrained_fastai
+from fastai.text.all import *
+import gradio as gr
+
+
+
+# Cargamos el learner
+repo_id = "PablitoGil14/ModelEmotions"
+learner = from_pretrained_fastai(repo_id)
+
+# Definimos las etiquetas de nuestro modelo
+labels = ['0','1','2','3']
+
+example1 = "I cant believe this happened."
+example2 = "Thats fantastic news!"
+example3 = "I am very irate by your complete disregard for honesty and decency. Your actions are unacceptable. Go screw yourself."
+
+# 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]).launch(share=False)