--- tags: [gradio-custom-component, ImageSlider] title: gradio_videoslider short_description: VideoSlider Component for Gradio colorFrom: blue colorTo: yellow sdk: gradio pinned: false app_file: space.py --- # `gradio_videoslider` PyPI - Version An interactive component for Gradio to compare two videos side-by-side with a draggable slider. ## Features - **Side-by-Side Comparison**: Display two videos in the same component, perfect for showing "before and after" results. - **Interactive Slider**: A draggable vertical slider allows users to intuitively compare the two videos. - **Synchronized Playback**: Clicking on the component plays or pauses both videos simultaneously, keeping them in sync. - **Input and Output**: Use it as an input field for users to upload two videos, or as an output to display results from your function. - **Standard Video Controls**: Includes autoplay, looping properties, mute/unmute, fullscreen toggle, and a download button. - **Flexible Loading**: Load videos from local file paths or remote URLs directly into the component. ## Installation ```bash pip install gradio_videoslider ``` ## Usage ```python import gradio as gr from gradio_videoslider import VideoSlider import os # --- 1. DEFINE THE PATHS TO YOUR LOCAL VIDEOS --- # # IMPORTANT: Replace the values below with the paths to YOUR video files. # # Option A: Relative Path (if the video is in the same folder as this app.py) # video_path_1 = "video_before.mp4" # video_path_2 = "video_after.mp4" # # Option B: Absolute Path (the full path to the file on your computer) # Example for Windows: # video_path_1 = "C:\\Users\\YourName\\Videos\\my_video_1.mp4" # # Example for Linux/macOS: # video_path_1 = "/home/yourname/videos/my_video_1.mp4" # Set your file paths here: video_path_1 = "examples/SampleVideo 720x480.mp4" video_path_2 = "examples/SampleVideo 1280x720.mp4" # --- 2. FUNCTION FOR THE UPLOAD EXAMPLE --- def process_uploaded_videos(video_inputs): """This function handles the uploaded videos.""" print("Received videos from upload:", video_inputs) return video_inputs # --- 3. GRADIO INTERFACE --- with gr.Blocks() as demo: gr.Markdown("# Video Slider Component Usage Examples") gr.Markdown("💻 Component GitHub Code") with gr.Tabs(): # --- TAB 1: UPLOAD EXAMPLE --- with gr.TabItem("1. Compare via Upload"): gr.Markdown("## Upload two videos to compare them side-by-side.") video_slider_input = VideoSlider(label="Your Videos", height=400, width=700, video_mode="upload") video_slider_output = VideoSlider( label="Video comparision", interactive=False, autoplay=True, video_mode="preview", show_download_button=False, loop=True, height=400, width=700 ) submit_btn = gr.Button("Submit") submit_btn.click( fn=process_uploaded_videos, inputs=[video_slider_input], outputs=[video_slider_output] ) # --- TAB 2: LOCAL FILE EXAMPLE --- with gr.TabItem("2. Compare Local Files"): gr.Markdown("## Example with videos pre-loaded from your local disk.") # This is the key part: we pass a tuple of your local file paths to the `value` parameter. VideoSlider( label="Video comparision", value=(video_path_1, video_path_2), interactive=False, show_download_button=False, autoplay=True, video_mode="preview", loop=True, height=400, width=700 ) # A check to give a helpful error message if files are not found. if not os.path.exists(video_path_1) or not os.path.exists(video_path_2): print("---") print(f"WARNING: Could not find one or both video files.") print(f"Please make sure these paths are correct in your app.py file:") print(f" - '{os.path.abspath(video_path_1)}'") print(f" - '{os.path.abspath(video_path_2)}'") print("---") if __name__ == '__main__': demo.launch(debug=True) ``` ## `VideoSlider` ### Initialization
name type default description
value ```python typing.Union[ typing.Tuple[str | pathlib.Path, str | pathlib.Path], typing.Callable, NoneType, ][ typing.Tuple[str | pathlib.Path, str | pathlib.Path][ str | pathlib.Path, str | pathlib.Path ], Callable, None, ] ``` None A tuple of two video file paths or URLs to display initially. Can also be a callable.
height ```python int | None ``` None The height of the component container in pixels.
width ```python int | None ``` None The width of the component container in pixels.
label ```python str | None ``` None The label for this component that appears above it.
every ```python float | None ``` None If `value` is a callable, run the function 'every' seconds while the client connection is open.
show_label ```python bool | None ``` None If False, the label is not displayed.
container ```python bool ``` True If False, the component will not be wrapped in a container.
scale ```python int | None ``` None An integer that defines the component's relative size in a layout.
min_width ```python int ``` 160 The minimum width of the component in pixels.
interactive ```python bool | None ``` None If True, the component is in input mode (upload). If False, it's in display-only mode.
visible ```python bool ``` True If False, the component is not rendered.
elem_id ```python str | None ``` None An optional string that is assigned as the id of the component in the HTML.
elem_classes ```python typing.Union[typing.List[str], str, NoneType][ typing.List[str][str], str, None ] ``` None An optional list of strings that are assigned as the classes of the component in the HTML.
position ```python int ``` 50 The initial horizontal position of the slider, from 0 (left) to 100 (right).
show_download_button ```python bool ``` True If True, a download button is shown for the second video.
show_mute_button ```python bool ``` True If True, a mute/unmute button is shown.
show_fullscreen_button ```python bool ``` True If True, a fullscreen button is shown.
video_mode ```python "upload" | "preview" ``` "preview" The mode of the component, either "upload" or "preview".
autoplay ```python bool ``` False If True, videos will start playing automatically on load (muted).
loop ```python bool ``` False If True, videos will loop when they finish playing.
### Events | name | description | |:-----|:------------| | `change` | Triggered when the value of the VideoSlider changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See `.input()` for a listener that is only triggered by user input. | | `upload` | This listener is triggered when the user uploads a file into the VideoSlider. | | `clear` | This listener is triggered when the user clears the VideoSlider using the clear button for the component. | ### User function The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both). - When used as an Input, the component only impacts the input signature of the user function. - When used as an output, the component only impacts the return signature of the user function. The code snippet below is accurate in cases where the component is used as both an input and an output. ```python def predict( value: typing.Optional[ typing.Tuple[ str | pathlib.Path | None, str | pathlib.Path | None ] ][ typing.Tuple[ str | pathlib.Path | None, str | pathlib.Path | None ][str | pathlib.Path | None, str | pathlib.Path | None], None, ] ) -> typing.Optional[ typing.Tuple[ str | pathlib.Path | None, str | pathlib.Path | None ] ][ typing.Tuple[ str | pathlib.Path | None, str | pathlib.Path | None ][str | pathlib.Path | None, str | pathlib.Path | None], None, ]: return value ```