Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load Fake News Detection model
+pipe = pipeline("text-classification", model="Pulk17/Fake-News-Detection")
+
+def detect_fake_news(text):
+    results = pipe(text)
+    # Convert to dictionary {label: score}
+    scores = {r["label"]: r["score"] for r in results}
+    return scores
+
+demo = gr.Interface(
+    fn=detect_fake_news,
+    inputs=gr.Textbox(lines=4, placeholder="Paste news article, headline, or social media post..."),
+    outputs=gr.Label(num_top_classes=2),
+    title="📰 Fake News Detector",
+    description="Enter a news article or post and see if it's REAL or FAKE with confidence scores."
+)
+
+demo.launch()