Update app.py

app.py

@@ -22,36 +22,12 @@ def detect_rhino_image(image):
             cv2.putText(image, results.names[int(class_id)].upper(), (int(x1), int(y1 - 10)), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3, cv2.LINE_AA)
     return image
 
-def detect_rhino_video(video_file):
-    cap = cv2.VideoCapture(video_file.name)
-    ret, frame = cap.read()
-    H, W, _ = frame.shape
-    out = cv2.VideoWriter(video_file.name + '_output.mp4', cv2.VideoWriter_fourcc(*'MP4V'), int(cap.get(cv2.CAP_PROP_FPS)), (W, H))
-    while ret:
-        results = model(frame)[0]
-        for box in results.boxes.data.tolist():
-            x1, y1, x2, y2, score, class_id = box
-            if score > 0.5:
-                cv2.rectangle(frame, (int(x1), int(y1)), (int(x2), int(y2)), (0, 255, 0), 4)
-                cv2.putText(frame, results.names[int(class_id)].upper(), (int(x1), int(y1 - 10)), cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3, cv2.LINE_AA)
-        out.write(frame)
-        ret, frame = cap.read()
-    cap.release()
-    out.release()
-    cv2.destroyAllWindows()
-    return video_file.name + '_output.mp4'
-
 st.title('Rhinoceros Detection App')
 
-st.write("Upload an image or video of rhinoceroses for detection.")
+st.write("Upload an image for rhino detection.")
 
-file = st.file_uploader("Choose a file...", type=["jpg", "jpeg", "png", "mp4"])
+file = st.file_uploader("Choose a file...", type=["jpg", "jpeg", "png"])
 if file is not None:
     if file.type.split('/')[0] == 'image':
         image = Image.open(file)
-        st.image(detect_rhino_image(image), caption='Processed Image', use_column_width=True)
-    elif file.type.split('/')[0] == 'video':
-        tfile = tempfile.NamedTemporaryFile(delete=False)
-        tfile.write(file.read())
-        processed_video = detect_rhino_video(tfile)
-        st.video(processed_video)
+        st.image(detect_rhino_image(image), caption='Processed Image', use_column_width=True)