EHR-model / app.py
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Hugging Face Project✅
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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()