import gradio as gr
import pandas as pd
from deepface import DeepFace

def analyze(img_path):
    face_analysis = DeepFace.analyze(img_path = img_path, enforce_detection=False)
    return pd.DataFrame([{
        'gender': face_analysis.get('gender', None),
        'age': face_analysis.get('age', None),
        'dominant_emotion': face_analysis.get('dominant_emotion', None),
        'dominant_race': face_analysis.get('dominant_race', None)
    }])

def main():
    demo = gr.Interface(
        fn=analyze, 
        inputs=gr.Image(type="filepath", source="webcam"), 
        outputs="dataframe"
    )
    demo.launch()

if __name__ == "__main__":
    main()