Update app.py

app.py

@@ -369,6 +369,9 @@ if uploaded_image is not None:
 # ---- Deepfake Video Detection Section ----
 st.subheader("🎥 Deepfake Video Detection")
 
+# Upload video file
+uploaded_video = st.file_uploader("Upload a Video", type=["mp4", "avi", "mov"])
+
 # URL Input for Video
 video_url = st.text_input("Enter Video URL")
 
@@ -403,18 +406,32 @@ def detect_deepfake_video(video_path):
     
     return {"label": final_label, "score": confidence}
 
-if video_url:
+# Process Uploaded Video
+if uploaded_video is not None:
+    st.video(uploaded_video)  # Show 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  # Set video path for detection
+
+# Process Video from URL
+elif video_url:
     st.video(video_url)  # Show the video directly from URL
+    video_path = video_url  # Use URL for detection
+
+else:
+    video_path = None
+
+# Analyze Button
+if video_path and st.button("Analyze Video"):
+    st.write("🔍 Processing... Please wait.")
+    result = detect_deepfake_video(video_path)
     
-    if st.button("Analyze Video"):
-        st.write("🔍 Processing... Please wait.")
-        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})")
-        elif result["label"] == "REAL":
-            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.")
+    if result["label"] == "FAKE":
+        st.error(f"⚠️ Deepfake Detected! This video appears to be FAKE. (Confidence: {result['score']:.2f})")
+    elif result["label"] == "REAL":
+        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**")