Upload app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load model from your Hugging Face hub
+model_id = "Varnikasiva/sentiment-classification-bert-mini"
+classifier = pipeline("text-classification", model=model_id)
+
+# Gradio interface
+def predict(text):
+    result = classifier(text)[0]
+    return f"Label: {result['label']} (Score: {round(result['score'], 2)})"
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=3, placeholder="Type your text here..."),
+    outputs="text",
+    title="Sentiment Classification with BERT Mini",
+    description="This model detects complex emotions like guilt, sarcasm, happiness, etc."
+).launch()