Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load pre-trained sentiment analysis model
+sentiment_model = pipeline("sentiment-analysis")
+
+# Define function to use the model
+def analyze_sentiment(text):
+    result = sentiment_model(text)[0]
+    return f"Label: {result['label']} | Confidence: {result['score']:.2f}"
+
+# Create Gradio interface
+demo = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=3, placeholder="Type a sentence here..."),
+    outputs="text",
+    title="Simple Sentiment Analyzer",
+    description="Find out if your text is Positive or Negative using a BERT model."
+)
+
+# Launch the app
+demo.launch()