Create app.py

app.py

@@ -0,0 +1,10 @@
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export (1).pkl')
+
+def predict(frase):
+    pred, pred_idx, probs = learn.predict(frase)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    
+ gr.Interface(fn=predict, outputs=gr.outputs.Label(num_top_classes=5), examples=['frase1.txt','frase2.txt2']).launch(share=False)