| import gradio as gr | |
| import pandas as pd | |
| from deepface import DeepFace | |
| def analyze(img_path): | |
| face_analysis = DeepFace.analyze(img_path = img_path) | |
| return pd.DataFrame(face_analysis) | |
| demo = gr.Interface( | |
| analyze, | |
| gr.Image(type="filepath", source="webcam",), | |
| inputs="image", | |
| outputs="dataframe" | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |