app.py

import gradio as gr

from huggingface_hub import from_pretrained_fastai
from blurr.text.modeling.all import *

def predict(text): 
  repo_id = "msivanes/blurr_IMDB_distilbert_cls"
  learn = from_pretrained_fastai(repo_id)
  probs = learn.predict(text)
  return f"Sentiment Prediction Confidence for the sentence '{text}' as positive is {100 * probs[0]['probs'][1]:.2f}%"

examples = ['This hack day is amazing', 'I hate the weather today.', 'Loved how Ryan started talking in gibberish language']

demo = gr.Interface(fn=predict, inputs=gr.Textbox(lines=3, label="Input Text"), outputs="text", title='DistiBERT Sentiment Classification', examples=examples)
demo.launch()