Create app.py

app.py

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+import gradio as gr
+from fastai.text.all import *
+from fastai.text.all import *
+from datasets import load_dataset
+from spacy.lemmatizer import Lemmatizer
+
+learn = load_learner('export.pkl')
+labels = ['anger','joy','optimism','sadness']
+
+def predict(text):
+    aux1,aux2,probs = learn.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.inputs.Textbox(lines=3,placeholder="Type a phrase that has some emotion",label="Input Text",), outputs=gr.outputs.Label(num_top_classes=4),examples=[
+            'No but thats so cute. Atsu was probably shy about photos before but cherry helped her out uwu 	',
+        ]).launch(share=False)