Download src/camera_input_live/__init__.py from Prathamesh1420/Fire_detection_streamlit: direct link, hf CLI and curl.
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1.36 kB
| import base64 | |
| from io import BytesIO | |
| from pathlib import Path | |
| from typing import Optional | |
| import streamlit as st | |
| import streamlit.components.v1 as components | |
| # Tell streamlit that there is a component called camera_input_live, | |
| # and that the code to display that component is in the "frontend" folder | |
| frontend_dir = (Path(__file__).parent / "frontend").absolute() | |
| _component_func = components.declare_component( | |
| "camera_input_live", path=str(frontend_dir) | |
| ) | |
| def camera_input_live( | |
| debounce: int = 1000, | |
| height: int = 530, | |
| width: int = 704, | |
| key: Optional[str] = None, | |
| show_controls: bool = True, | |
| start_label: str = "Start capturing", | |
| stop_label: str = "Pause capturing", | |
| ) -> Optional[BytesIO]: | |
| """ | |
| Add a descriptive docstring | |
| """ | |
| b64_data: Optional[str] = _component_func( | |
| height=height, | |
| width=width, | |
| debounce=debounce, | |
| showControls=show_controls, | |
| startLabel=start_label, | |
| stopLabel=stop_label, | |
| key=key, | |
| ) | |
| if b64_data is None: | |
| return None | |
| raw_data = b64_data.split(",")[1] # Strip the data: type prefix | |
| return BytesIO(base64.b64decode(raw_data)) | |
| def main(): | |
| st.write("## Example") | |
| image = camera_input_live(show_controls=True) | |
| if image is not None: | |
| st.image(image) | |
| if __name__ == "__main__": | |
| main() | |