Create app.py

prediction interface

app.py

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+import gradio as gr
+from transformers import pipeline
+
+## Load Pipeline
+sentiment_pipeline == pipeline("sentiment-analysis",
+                              model="AfroLogicInsect/sentiment-analysis-model")
+
+def predict_sentiment(text):
+    if not text.strip():
+        return "Please enter some text", 0.0
+
+    result = sentiment_pipeline(text)[0]
+    label = "😊 Positive" if result['label'] == 'LABEL_1' else "😞 Negative"
+    return label, round(result['score'], 3)
+
+iface = gr.Interface(
+    fn = predict_sentiment,
+    inputs=gr.Textbox(label="Enter text"),
+    outputs=[gr.Text(label="Sentiment"),
+            gr.Number(label="Confidence")]
+)
+
+iface.launch()