Create app.py

app.py

@@ -0,0 +1,20 @@
+from transformers import pipeline
+import gradio as gr
+
+# Load the model
+sentiment_model = pipeline("sentiment-analysis")
+
+# Define the app's logic
+def analyze_sentiment(text):
+    result = sentiment_model(text)[0]  # Get the first result
+    label = result['label']  # Extract label (e.g., "POSITIVE" or "NEGATIVE")
+    return label
+
+# Gradio interface
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs="text",
+    outputs="text",
+)
+
+interface.launch()