Update app.py

app.py

@@ -173,22 +173,27 @@ def detect_deepfake_image(image_path):
 #         else:
 #             st.success(f"✅ Result: This news is **REAL**. (Confidence: {confidence:.2f})")
 # ---- Fake News Detection Section ----
+import streamlit as st
+
 st.subheader("📝 Fake News Detection")
 news_input = st.text_area("Enter News Text:", placeholder="Type here...")
 
 if st.button("Check News"):
     st.write("🔍 Processing...")
 
-    # Use AI model to classify the news
+    # Get AI model prediction
     prediction = fake_news_detector(news_input)
     label = prediction[0]['label'].lower()
     confidence = prediction[0]['score']
 
-    # Ensure correct classification
-    if label in ["fake", "false", "negative"] or confidence < 0.5:
+    # Correct classification logic
+    if label == "fake" or confidence > 0.6:  # Adjusted confidence threshold
         st.error(f"⚠️ Result: This news is **FAKE**. (Confidence: {confidence:.2f})")
-    else:
+    elif label == "real" and confidence > 0.6:
         st.success(f"✅ Result: This news is **REAL**. (Confidence: {confidence:.2f})")
+    else:
+        st.warning(f"⚠️ Unable to classify with high confidence. Please verify manually. (Confidence: {confidence:.2f})")
+
 # ---- Deepfake Image Detection Section ----
 st.subheader("📸 Deepfake Image Detection")
 uploaded_image = st.file_uploader("Upload an Image", type=["jpg", "png", "jpeg"])