initial setiup

app.py

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+import gradio as gr
+from deepface import DeepFace
+import cv2
+import numpy as np
+
+def analyze_frame(frame):
+    result = DeepFace.analyze(frame, actions=['gender'], enforce_detection=False)
+    if result:
+        gender = result[0]['gender']
+    else:
+        gender = "No face detected"
+    return frame, f"Gender: {gender}"
+
+def video_feed():
+    camera = cv2.VideoCapture(0)
+    while True:
+        ret, frame = camera.read()
+        if not ret:
+            break
+        yield frame
+    camera.release()
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Real-time Gender Detection")
+
+    with gr.Row():
+        video_stream = gr.Video(source=video_feed, streaming=True)
+        result_image = gr.Image()
+
+    video_stream.stream(fn=analyze_frame, inputs=video_stream, outputs=result_image)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+deepface
+opencv-python
+numpy
+tf-keras
+gradio