add files

requirements.txt

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+gradio
+transformers
+torch

sentiment.py

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+from transformers import pipeline
+sentiment = pipeline("sentiment-analysis")
+
+import gradio as gr
+
+def analyze(text):
+    return sentiment(text)[0]['label']
+
+demo = gr.Interface(
+    fn=analyze, 
+    inputs="text", 
+    outputs="label",
+    title="Sentiment Analysis",
+    description="Enter text to analyze its sentiment (positive/negative)"
+)
+
+if __name__ == "__main__":
+    demo.launch()