Update app.py

app.py

@@ -141,23 +141,34 @@ def detect_deepfake_image(image_path):
 st.subheader("📝 Fake News Detection")
 news_input = st.text_area("Enter News Text:", placeholder="Type here...")
 
+# Manually verified facts database (you can expand this)
+fact_check_db = {
+    "elon musk was born in 1932": "FAKE",
+    "earth revolves around the sun": "REAL",
+    "the moon is made of cheese": "FAKE",
+}
+
+def check_manual_facts(text):
+    text_lower = text.lower().strip()
+    return fact_check_db.get(text_lower, None)
+
 if st.button("Check News"):
     st.write("🔍 Processing...")
-    prediction = fake_news_detector(news_input)
-    label = prediction[0]['label'].lower()  # Convert label to lowercase
-    confidence = prediction[0]['score']
-    
-    # Force classification based on confidence threshold
-    threshold = 0.5  # Adjust if needed
-    if confidence >= threshold:
-        if "fake" in label or "false" in label or "negative" in label:
-            st.error(f"⚠️ Result: This news is **FAKE**. (Confidence: {confidence:.2f})")
+
+    # Check if the news is in the fact-check database
+    manual_result = check_manual_facts(news_input)
+    if manual_result:
+        if manual_result == "FAKE":
+            st.error(f"⚠️ Result: This news is **FAKE** (Verified by Database).")
         else:
-            st.success(f"✅ Result: This news is **REAL**. (Confidence: {confidence:.2f})")
+            st.success(f"✅ Result: This news is **REAL** (Verified by Database).")
     else:
-        # If confidence is too low, classify based on probability
-        final_label = "FAKE" if confidence < 0.5 else "REAL"
-        if final_label == "FAKE":
+        # Use AI model if fact is not in the database
+        prediction = fake_news_detector(news_input)
+        label = prediction[0]['label'].lower()
+        confidence = prediction[0]['score']
+
+        if "fake" in label or confidence < 0.5:
             st.error(f"⚠️ Result: This news is **FAKE**. (Confidence: {confidence:.2f})")
         else:
             st.success(f"✅ Result: This news is **REAL**. (Confidence: {confidence:.2f})")