webm webcam output?

app.py

@@ -76,6 +76,7 @@ def predict_depth(input_image):
 @rr.thread_local_stream("rerun_example_ml_depth_pro")
 def run_rerun(path_to_video):
     stream = rr.binary_stream()
+    print("video path:", path_to_video)
 
     blueprint = rrb.Blueprint(
         rrb.Vertical(
@@ -93,15 +94,16 @@ def run_rerun(path_to_video):
     rr.send_blueprint(blueprint)
 
     yield stream.read()
+
     video_asset = rr.AssetVideo(path=path_to_video)
     rr.log("world/video", video_asset, static=True)
 
     # Send automatically determined video frame timestamps.
     frame_timestamps_ns = video_asset.read_frame_timestamps_ns()
 
-    # load the video using opencv
     cap = cv2.VideoCapture(path_to_video)
-    # loop through the video and log the frames using the video timestamps
+    num_frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
+    print(f"Number of frames in the video: {num_frames}")
     for i in range(len(frame_timestamps_ns)):
         ret, frame = cap.read()
         if not ret:
@@ -161,19 +163,12 @@ def run_rerun(path_to_video):
     yield stream.read()
 
 
-# Example images
-example_images = [
-    "examples/lemur.jpg",
-    "examples/cat.jpg",
-    "examples/silly-cat.png",
-]
-
 with gr.Blocks() as interface:
     gr.Markdown(
         """
         # DepthPro Rerun Demo
 
-        [DepthPro](https://huggingface.co/apple/DepthPro) is a fast metric depth prediction model. Simply upload an image to predict its inverse depth map and focal length. 
+        [DepthPro](https://huggingface.co/apple/DepthPro) is a fast metric depth prediction model. Simply upload a video to visualize the depth predictions in real-time.
         
         High resolution videos will be automatically resized to 256x256 pixels, to speed up the inference and visualize multiple frames.
         """

pyproject.toml

@@ -3,14 +3,14 @@ name = "rerun-apple-depth-pro"
 version = "0.1.0"
 description = "Add your description here"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.8"
 dependencies = [
     "attrs>=24.2.0",
     "depth-pro",
     "gradio>=4.44.1",
     "gradio-rerun>=0.0.8",
     "rerun-sdk==0.19.0",
-    "spaces>=0.30.3",
+    "spaces>=0.30.4",
 ]
 
 [tool.uv]

requirements.txt

@@ -80,7 +80,7 @@ semantic-version==2.10.0
 shellingham==1.5.4
 six==1.16.0
 sniffio==1.3.1
-spaces==0.30.3
+spaces==0.30.4
 stack-data==0.6.3
 starlette==0.38.6
 sympy==1.13.3