Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load sentiment analysis pipeline
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+# Define function to use in Gradio
+def analyze_sentiment(text):
+result = sentiment_pipeline(text)[0]
+label = result['label']
+score = round(result['score'], 3)
+return f"Sentiment: {label} (confidence: {score})"
+
+# Create Gradio interface
+demo = gr.Interface(fn=analyze_sentiment,
+inputs=gr.Textbox(lines=4, placeholder="Enter text here..."),
+outputs="text",
+title="Sentiment Analysis App",
+description="Enter text and get the sentiment prediction using a Hugging Face transformer model.")
+
+# Launch app
+demo.launch()