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app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load sentiment analysis pipeline
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)[0]
+    label = result['label']
+    score = result['score']
+    return f"Sentiment: {label} (Confidence: {score:.2f})"
+
+# Create Gradio interface
+iface = gr.Interface(fn=analyze_sentiment,
+                     inputs=gr.Textbox(lines=4, placeholder="Type a review here..."),
+                     outputs="text",
+                     title="Sentiment Analyzer",
+                     description="A simple sentiment analysis demo using Hugging Face transformers.")
+
+iface.launch()

requirements.txt

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+transformers
+gradio
+torch