Update app.py

app.py

@@ -11,81 +11,44 @@ import cv2
 # Set page configuration
 st.set_page_config(page_title="Traffic Violation Detection", layout="wide")
 
-st.title("🚦 Traffic Violation Detection App")
+# Streamlit app layout
+st.title("Motorbike Violation Detection")
 
-# Sidebar options
-option = st.sidebar.radio("Select Option:", ("Image", "Video", "Live Camera"))
+option = st.selectbox(
+    "Choose Input Type",
+    ("Image", "Video", "Live Camera")
+)
 
 if option == "Image":
-    st.header("🖼️ Upload and Process Image")
     uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
-    if uploaded_file:
-        image = Image.open(uploaded_file)
-        st.image(image, caption='Uploaded Image.', use_column_width=True)
-        if st.button("Process Image"):
-            with st.spinner("Processing..."):
-                with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp:
-                    image.save(tmp.name)
-                    frame = cv2.imread(tmp.name)
-                processed = process_image(tmp.name, "alfont_com_arial-1.ttf")
-                if processed is not None:
-                    st.image(processed, caption='Processed Image.', use_column_width=True)
-                    # Save processed image to temporary file for download
-                    _, img_encoded = cv2.imencode('.jpg', processed)
-                    st.download_button(
-                        label="📥 Download Image",
-                        data=img_encoded.tobytes(),
-                        file_name="processed_image.jpg",
-                        mime="image/jpeg"
-                    )
-                else:
-                    st.error("Failed to process the image.")
+    if uploaded_file is not None:
+        image = cv2.imread(uploaded_file)
+        process_image(image)
+        st.download_button("Download Result", data=image, file_name="result_image.jpg")
 
 elif option == "Video":
-    st.header("🎥 Select and Process Video")
-    video_files = [f for f in os.listdir("videos") if f.endswith(('.mp4', '.avi', '.mov'))]
-    if not video_files:
-        st.warning("No videos found in the 'videos/' folder.")
-    else:
-        selected_video = st.selectbox("Choose a video to process:", video_files)
-        video_path = os.path.join("videos", selected_video)
-        st.video(video_path)
+    # Dynamically load video files from 'videos/' folder
+    video_folder = 'videos/'
+    video_files = [f for f in os.listdir(video_folder) if f.endswith(('.mp4', '.avi'))]
+    
+    if video_files:
+        video_file = st.selectbox("Select a video", video_files)
         if st.button("Process Video"):
-            with st.spinner("Processing Video..."):
-                processed_path = process_video(video_path, "alfont_com_arial-1.ttf")
-                if processed_path and os.path.exists(processed_path):
-                    st.success("Video processed successfully!")
-                    st.video(processed_path)
-                    with open(processed_path, "rb") as file:
-                        st.download_button(
-                            label="📥 Download Processed Video",
-                            data=file,
-                            file_name="processed_video.mp4",
-                            mime="video/mp4"
-                        )
-                else:
-                    st.error("Failed to process the video.")
+            process_video(os.path.join(video_folder, video_file))
+            st.download_button("Download Result", data=video_file, file_name="result_video.mp4")
+    else:
+        st.warning("No videos found in the 'videos/' folder.")
 
 elif option == "Live Camera":
-    st.header("📷 Live Camera Feed")
-    st.info("Live processing is active. Detected violations will be annotated on the video feed.")
-
-    # RTC Configuration for streamlit-webrtc
-    RTC_CONFIGURATION = RTCConfiguration({"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]})
-
-    class VideoTransformer(VideoTransformerBase):
-        def __init__(self):
-            self.font_path = "alfont_com_arial-1.ttf"
-
-        def transform(self, frame):
-            img = frame.to_ndarray(format="bgr24")
-            processed_img = process_frame(img, self.font_path)
-            return processed_img
-
-    webrtc_ctx = webrtc_streamer(
-        key="live-camera",
-        rtc_configuration=RTC_CONFIGURATION,
-        video_transformer_factory=VideoTransformer,
-        media_stream_constraints={"video": True, "audio": False},
-        async_transform=True
-    )
+    st.write("Starting live camera...")
+    run = st.checkbox('Run Camera')
+    camera = cv2.VideoCapture(0)
+    FRAME_WINDOW = st.image([])
+
+    while run:
+        ret, frame = camera.read()
+        if ret:
+            process_frame(frame)
+            FRAME_WINDOW.image(frame)
+
+    camera.release()