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app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Load pretrained sentiment analysis model
+classifier = pipeline("sentiment-analysis")
+
+# Prediction function
+def analyze_sentiment(text):
+    result = classifier(text)
+    
+    label = result[0]['label']
+    score = result[0]['score']
+    
+    return f"Sentiment: {label}\nConfidence: {score:.2f}"
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=3, placeholder="Enter text here..."),
+    outputs="text",
+    title="Sentiment Analysis App",
+    description="AI model deployed using Hugging Face Spaces"
+)
+
+# Launch app
+interface.launch()

requirements.txt

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+transformers
+torch
+gradio