from huggingface_hub import hf_hub_download
from fastai.text.all import *
import gradio as gr

model_path = hf_hub_download(
    repo_id="Blevins05/emotions_classifier",
    filename="model.pkl"
)
learn = load_learner(model_path)

def predict(text):
    pred_class, pred_idx, probs = learn.predict(text)
    labels = learn.dls.categorize.vocab
    return {str(label): float(prob) for label, prob in zip(labels, probs)}

demo = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(placeholder="Write a sentence in English..."),
    outputs=gr.Label(num_top_classes=6),
    title="Emotion Classifier"
)

demo.launch()