Create app.py

app.py

@@ -0,0 +1,35 @@
+# app.py
+import gradio as gr
+from transformers import pipeline
+
+# Load your model
+print("⏳ Loading model...")
+classifier = pipeline("sentiment-analysis", model="jackenmail/sentiment-analysis")
+print("✅ Model ready!")
+
+def get_sentiment(text):
+    if not text.strip():
+        return "⚠️ Please enter some text"
+
+    result = classifier(text)
+    label  = result[0]["label"]
+    score  = round(result[0]["score"] * 100, 2)
+    emoji  = "😊" if label == "POSITIVE" else "😞"
+    return f"{emoji} {label} ({score}% confidence)"
+
+# Gradio UI
+demo = gr.Interface(
+    fn          = get_sentiment,
+    inputs      = gr.Textbox(placeholder="Enter text here...", label="Input Text"),
+    outputs     = gr.Textbox(label="Sentiment Result"),
+    title       = "🎯 Sentiment Analysis",
+    description = "Powered by jackenmail/sentiment-analysis",
+    examples    = [
+        ["I love this product!"],
+        ["This is absolutely terrible."],
+        ["Best purchase I ever made!"],
+        ["I hate this, waste of money."]
+    ]
+)
+
+demo.launch()