app.py

import gradio as gr
from transformers import pipeline

# Load the sentiment analysis model
sentiment_pipeline = pipeline("sentiment-analysis")

# Function to analyze text input
def analyze(text):
    result = sentiment_pipeline(text)
    return {
        "label": result[0]['label'],
        "score": result[0]['score']
    }

# Create a Gradio interface
interface = gr.Interface(
    fn=analyze,                 # Function to call
    inputs="text",              # Input type
    outputs="json",             # Output type (JSON for API compatibility)
)

# Launch with API sharing
interface.launch(share=True)   # Ensure share=True for Hugging Face Spaces