Create app.py

app.py

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+from huggingface_hub import from_pretrained_fastai
+import gradio as gr
+from fastai.text.all import *
+
+
+
+# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
+repo_id = "mahernher/Modelo_Tweet_Topic_Single"
+
+learner = from_pretrained_fastai(repo_id)
+labels = ["arts_&_culture","business_&_entrepreneurs","pop_culture","daily_life","sports_&_gaming","science_&_technology"]
+
+# Definimos una función que se encarga de llevar a cabo las predicciones
+def predict(text):
+    #img = PILImage.create(img)
+    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.inputs.Textbox(), outputs=gr.outputs.Label(num_top_classes=3),examples=['Massive WELL DONE to BSLFC Reserves today in their Friendly winning a smashing 15-0. Goals and assists: Stacey @AbiRigler ⚽️⚽️⚽️ Sam ⚽️ Chelsea ⚽️⚽️ Rocket ⚽️ {{USERNAME}} ⚽️ Lauren ⚽️⚽️ Becky ⚽️⚽️ Doxa ⚽️ Kim ⚽️ Debs ⚽️ LEAGUE GAME NEXT WEEK {@Hampshire FA@}']).launch(share=False)