Update app.py

app.py

@@ -4,13 +4,18 @@ from transformers import pipeline
 # ✅ Use a working fake news detection model
 classifier = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-fake-news-detection")
 
-# 💡 Function to classify news
+# 💡 Function to classify news and give explanation
 def detect_fake_news(text):
     result = classifier(text)[0]
     label = result["label"]
     score = result["score"]
-    explanation = "🟢 This looks like real news." if label == "REAL" else "🔴 This might be fake news."
-    return f"Prediction: {label}\nConfidence: {score:.2f}\n{explanation}"
+
+    if label == "FAKE":
+        explanation = "🔴 This might be fake news.\n\n🧠 Reason: The model detected signs of misinformation, such as exaggerated claims, lack of credible sources, or emotionally charged language."
+    else:
+        explanation = "🟢 This looks like real news. It likely follows factual reporting patterns."
+
+    return f"Prediction: {label}\nConfidence: {score:.2f}\n\n{explanation}"
 
 # 🎛️ Gradio UI
 iface = gr.Interface(
@@ -18,7 +23,8 @@ iface = gr.Interface(
     inputs=gr.Textbox(lines=10, placeholder="Paste your news article here..."),
     outputs="text",
     title="📰 Fake News Detector",
-    description="Detect whether a news article is real or fake using a fine-tuned BERT model."
+    description="Detect whether a news article is real or fake using a fine-tuned BERT model. Includes explanation for fake news."
 )
 
 iface.launch()
+