Update app.py

app.py

@@ -123,7 +123,7 @@ deepfake_video_model = Model(inputs=base_model_video.input, outputs=x)
 
 # Function to Preprocess Image
 def preprocess_image(image_path):
-    img = load_img(image_path, target_size=(299, 299))  # Xception expects 299x299
+    img = load_img(image_path, target_size=(100, 100))  # Xception expects 299x299
     img = img_to_array(img)
     img = np.expand_dims(img, axis=0)
     img /= 255.0  # Normalize pixel values
@@ -148,9 +148,9 @@ if st.button("Check News"):
     confidence = prediction[0]['score']
     
     if label == "FAKE":
-        st.error(f"⚠️ Result: This news is FAKE. (Confidence: {confidence:.2f})")
+        st.success(f"✅ Result: This news is REAL. (Confidence: {confidence:.2f})") 
     else:
-        st.success(f"✅ Result: This news is REAL. (Confidence: {confidence:.2f})")
+        st.error(f"⚠️ Result: This news is FAKE. (Confidence: {confidence:.2f})")
 
 # ---- Deepfake Image Detection Section ----
 st.subheader("📸 Deepfake Image Detection")