Create app.py

app.py

@@ -0,0 +1,22 @@
+from transformers import pipeline
+import gradio as gr
+
+# Load Hugging Face sentiment analysis pipeline
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+# Gradio interface function
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)
+    label = result[0]['label']
+    score = result[0]['score']
+    return f"Sentiment: {label} (Confidence: {score:.2f})"
+
+# Gradio App
+demo = gr.Interface(fn=analyze_sentiment,
+                    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence..."),
+                    outputs="text",
+                    title="Sentiment Analyzer")
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    demo.launch()