app.py

############### Tích hợp model từ Hub ###############
from transformers import pipeline

import gradio as gr
classifier = pipeline(
    model="lxyuan/distilbert-base-multilingual-cased-sentiments-student", 
    top_k=None,
    framework="pt"  
)

############### Tạo giao diện ###############
def predict(text):
    predictions = classifier(text)[0]
    result = {pred['label']: pred['score'] for pred in predictions}
    return result

demo = gr.Interface(
    fn=predict,
    inputs="text",
    outputs="label",
    title="Sentiment Analysis App",
    description="Phân tích cảm xúc bằng mô hình DistillBERT"
)

demo.launch()