Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load Sentiment Analysis model
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)[0]
+    return f"Sentiment: {result['label']} (Confidence: {result['score']:.2f})"
+
+# Create Gradio Interface
+iface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs="text",
+    title="Sentiment Analysis API",
+    description="Enter a sentence, and the model will predict if it's POSITIVE or NEGATIVE."
+)
+
+# Launch the Gradio app
+iface.launch()