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import gradio as gr | |
from transformers import pipeline | |
# Load Sentiment Analysis Model | |
sentiment_pipeline = pipeline("sentiment-analysis") | |
# Define Function for Prediction | |
def analyze_sentiment(text): | |
result = sentiment_pipeline(text) | |
return result[0]["label"], result[0]["score"] | |
# Create Gradio Interface | |
iface = gr.Interface( | |
fn=analyze_sentiment, | |
inputs=gr.Textbox(label="Enter Text"), | |
outputs=[gr.Textbox(label="Sentiment"), gr.Textbox(label="Confidence Score")], | |
title="Sentiment Analysis App", | |
description="Enter a sentence and get its sentiment (Positive/Negative).", | |
) | |
iface.launch() | |