Update app.py

app.py

@@ -0,0 +1,20 @@
+from huggingface_hub import from_pretrained_fastai
+import gradio as gr
+from blurr.text.modeling.all import *
+
+
+learn = from_pretrained_fastai("arshy/medicalspecialty-deberta")
+
+def predict(learn, inp:str):
+    preds = learn.blurr_predict([inp])[0]
+    preds_dict = dict(zip(preds['class_labels'], preds['probs']))
+    preds_dict = sorted(preds_dict.items(), key=operator.itemgetter(1), reverse=True)[:5]
+    preds_df = pd.DataFrame(preds_dict, columns=['Specialty', 'Probability'])
+
+    return preds_df
+    
+text = gr.inputs.Textbox()
+output = gr.outputs.Dataframe()
+
+intf = gr.Interface(fn=predict, inputs=text, outputs=output)
+intf.launch()