Update app.py

app.py

@@ -23,7 +23,7 @@ if st.button("Check News"):
 st.subheader("📸 Deepfake Image Detection")
 uploaded_image = st.file_uploader("Upload an Image", type=["jpg", "png", "jpeg"])
 
-def compress_image(image, quality=50, max_size=(20, 20)):  # ✅ Better quality & small size
+def compress_image(image, quality=60, max_size=(100, 100)):  # ✅ Better quality & small size
     img = Image.open(image).convert("RGB")
     img.thumbnail(max_size)  
     temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".jpg")
@@ -32,7 +32,7 @@ def compress_image(image, quality=50, max_size=(20, 20)):  # ✅ Better quality
 
 if uploaded_image is not None:
     compressed_image_path = compress_image(uploaded_image)
-    st.image(compressed_image_path, caption="🖼️ Compressed Image", use_column_width=True)
+    st.image(compressed_image_path, caption="🖼️ Compressed Image", use_container_width=True)
     if st.button("Analyze Image"):
         st.write("🔍 Processing...")
         st.error("⚠️ Result: This image is a Deepfake.")  # Replace with model
@@ -57,8 +57,8 @@ def compress_video(video):
     fourcc = cv2.VideoWriter_fourcc(*'mp4v')
 
     # ✅ Further Reduce Video Resolution
-    frame_width = 200  
-    frame_height = 1000  
+    frame_width = 180  
+    frame_height = 320  # Adjusted for a more standard small resolution
     out = cv2.VideoWriter(temp_file.name, fourcc, 12.0, (frame_width, frame_height))  # ✅ Lower FPS to 12
 
     while cap.isOpened():
@@ -81,4 +81,4 @@ if uploaded_video is not None:
             st.write("🔍 Processing...")
             st.warning("⚠️ Result: This video contains Deepfake elements.")  # Replace with model
 
-st.markdown("🔹 **Developed for Fake News & Deepfake Detection Hackathon**")
+st.markdown("🔹 **Developed for Fake News & Deepfake Detection Hackathon**")