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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Load the sentiment analysis pipeline
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sentiment_pipeline = pipeline("sentiment-analysis")
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def analyze_sentiment(text):
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result = sentiment_pipeline(text)[0]
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label = result['label']
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score = result['score']
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if label == 'POSITIVE':
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emotion = "positive"
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elif label == 'NEGATIVE':
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emotion = "negative"
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else:
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emotion = "neutral"
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return f"Emotion: {emotion}\nConfidence: {score:.2f}"
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# Create the Gradio interface
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iface = gr.Interface(
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fn=analyze_sentiment,
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inputs=gr.Textbox(lines=5, placeholder="Enter your text here..."),
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outputs="text",
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title="Emotion Analysis",
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description="Analyze the sentiment of your text using Hugging Face Transformers."
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)
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# Launch the app
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iface.launch()
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