Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load model
+pipe = pipeline(
+    "text-classification",
+    model="distilbert/distilbert-base-uncased-finetuned-sst-2-english"
+)
+
+# Inference function
+def classify_text(text):
+    if not text.strip():
+        return "Please enter some text."
+
+    result = pipe(text)[0]
+    
+    label = result["label"]
+    score = round(result["score"], 4)
+
+    return f"Sentiment: {label}\nConfidence: {score}"
+
+# Gradio UI
+app = gr.Interface(
+    fn=classify_text,
+    inputs=gr.Textbox(
+        lines=4,
+        placeholder="Type a sentence to analyze sentiment..."
+    ),
+    outputs=gr.Textbox(label="Result"),
+    title="Sentiment Analysis App",
+    description="Powered by DistilBERT (SST-2)\nClassifies text as POSITIVE or NEGATIVE."
+)
+
+# Run app
+app.launch()