Create app.py

app.py

@@ -0,0 +1,25 @@
+from transformers import pipeline
+import gradio as gr
+
+# Load the sentiment analysis pipeline
+classifier = pipeline("sentiment-analysis")
+
+# Define the prediction function
+def analyze_sentiment(text):
+    result = classifier(text)[0]
+    label = result['label']
+    score = round(result['score'], 3)
+    return f"Sentiment: {label} (Confidence: {score})"
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=4, placeholder="Enter some text here..."),
+    outputs="text",
+    title="Sentiment Analysis with Hugging Face 🤗",
+    description="Enter text to find out if the sentiment is positive, negative, or neutral."
+)
+
+# Run the app
+if __name__ == "__main__":
+    interface.launch()