app.py

from huggingface_hub import from_pretrained_fastai
import gradio as gr
from fastai.vision.all import *



# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
repo_id = "isboudja/Spam"

learner = from_pretrained_fastai(repo_id)
labels = learner.dls.vocab

# Define a function to make predictions
def predict(text):
    pred,pred_idx,probs = learner.predict(text)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

# Create and launch the Gradio interface
gr.Interface(
    fn=predict, 
    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter text here..."), 
    outputs=gr.outputs.Label(),
    examples=["Hello, how are you?", "You won a prize! Click here to claim."]
).launch(share=False)