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

def predict(text):
    pred, pred_idx, probs = learner.predict(text)
    if pred == '1':
        return "Spam"
    else:
        return "Not Spam"

# Create and launch the Gradio interface for text input
gr.Interface(
    fn=predict, 
    inputs=gr.inputs.Textbox(), 
    outputs=gr.outputs.Label(),
    examples=["WON a guaranteed £1000 cash","Hello, how are you?"]
).launch(share=False)