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app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis pipeline
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+# Define the function that will use the model
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)[0]
+    return {"label": result['label'], "score": result['score']}
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs="json",
+    title="Sentiment Analysis",
+    description="A simple sentiment analysis web app using Hugging Face Transformers."
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+transformers
+torch
+gradio