app.py

import gradio as gr
from transformers import pipeline

sentiment_pipeline = pipeline("sentiment-analysis")

def analyze_sentiment(text):
    result = sentiment_pipeline(text)[0]
    return f"Sentiment: {result['label']} (Confidence: {result['score']:.2f})"


custom_css = """
#interface-container {background-color: #f8f9fa;}
#title {color: #2c3e50; font-size: 24px;}
"""


iface = gr.Interface(
    fn=analyze_sentiment,
    inputs=gr.Textbox(label="Enter Text", placeholder="Type your sentence here..."),
    outputs=gr.Text(label="Sentiment Analysis Result"),
    title="Sentiment Analysis API",
    description="🔍 Enter a sentence, and the model will predict if it's POSITIVE or NEGATIVE.",
    theme="compact",
    css=custom_css
)

# Launch the Gradio app
iface.launch()