Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 1. LOAD A REAL FAKE NEWS MODEL
+# This model is specifically trained to detect fake news, not just sentiment.
+model = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-fake-news-detection")
+
+def detect_fake_news(text):
+    result = model(text)[0]
+    label = result['label']
+    
+    # LABEL_0 usually means Fake, LABEL_1 means Real for this specific model
+    if label == "LABEL_0": 
+        return "❌ Fake News"
+    else:
+        return "✅ Real News"
+
+# 2. IMPROVED UI (Using gr.Blocks for better layout)
+# We use 'theme=gr.themes.Soft()' for a modern look
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    
+    # Header
+    gr.Markdown("# 📰 AI Fake News Detector")
+    gr.Markdown("Paste a news headline below to see if the AI thinks it is real or fake.")
+    
+    # Two columns: Input on the left, Output on the right
+    with gr.Row():
+        input_text = gr.Textbox(lines=5, placeholder="Paste news text here...", label="News Article")
+        output_text = gr.Textbox(label="Prediction Result")
+    
+    # A big colored button
+    submit_btn = gr.Button("🔍 Check Veracity", variant="primary")
+    
+    # Connect the button to the function
+    submit_btn.click(fn=detect_fake_news, inputs=input_text, outputs=output_text)
+
+# Launch the app
+demo.launch()