Update app.py

app.py

@@ -369,19 +369,10 @@ if uploaded_image is not None:
 # ---- Deepfake Video Detection Section ----
 st.subheader("🎥 Deepfake Video Detection")
 
-uploaded_video = st.file_uploader("Upload a Video", type=["mp4", "avi", "mov"])
-video_url = st.text_input("Or enter a video URL")
-
-def download_video(url):
-    temp_video = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
-    response = requests.get(url, stream=True)
-    if response.status_code == 200:
-        with open(temp_video.name, "wb") as f:
-            for chunk in response.iter_content(chunk_size=8192):
-                f.write(chunk)
-        return temp_video.name
-    return None
+# URL Input for Video
+video_url = st.text_input("Enter Video URL")
 
+# Function to detect deepfake in video
 def detect_deepfake_video(video_path):
     cap = cv2.VideoCapture(video_path)
     frame_scores = []
@@ -395,7 +386,7 @@ def detect_deepfake_video(video_path):
         if frame_count % 10 == 0:  # ہر 10ویں فریم کا تجزیہ کریں
             frame_path = "temp_frame.jpg"
             cv2.imwrite(frame_path, frame)
-            result = detect_deepfake_image(frame_path)
+            result = detect_deepfake_image(frame_path)  # Deepfake detection function
             frame_scores.append(result["score"])
             os.remove(frame_path)
         
@@ -412,25 +403,12 @@ def detect_deepfake_video(video_path):
     
     return {"label": final_label, "score": confidence}
 
-if uploaded_video is not None or video_url:
-    if uploaded_video is not None:
-        st.video(uploaded_video)
-        temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
-        with open(temp_file.name, "wb") as f:
-            f.write(uploaded_video.read())
-        video_path = temp_file.name
-    elif video_url:
-        st.write("📥 Downloading video from URL...")
-        video_path = download_video(video_url)
-        if video_path:
-            st.video(video_path)
-        else:
-            st.error("⚠️ Failed to download video. Please check the URL and try again.")
-            video_path = None
-
-    if video_path and st.button("Analyze Video"):
+if video_url:
+    st.video(video_url)  # Show the video directly from URL
+    
+    if st.button("Analyze Video"):
         st.write("🔍 Processing... Please wait.")
-        result = detect_deepfake_video(video_path)
+        result = detect_deepfake_video(video_url)  # Pass the URL directly
         
         if result["label"] == "FAKE":
             st.error(f"⚠️ Deepfake Detected! This video appears to be FAKE. (Confidence: {result['score']:.2f})")
@@ -438,5 +416,5 @@ if uploaded_video is not None or video_url:
             st.success(f"✅ This video appears to be REAL. (Confidence: {1 - result['score']:.2f})")
         else:
             st.warning("⚠️ Unable to analyze the video. Please try a different file.")
-
+            
 st.markdown("🔹 **Developed for Fake News & Deepfake Detection Hackathon**")