app.py

import gradio as gr
from deepface import DeepFace
from PIL import Image
import numpy as np

# Function to analyze the uploaded image
def analyze_face(image):
    # Convert the image to a numpy array
    image_array = np.array(image)

    # Perform DeepFace analysis
    analysis_result = DeepFace.analyze(img_path=image_array, actions=['age', 'gender', 'race', 'emotion'])

    # Extract results
    age = analysis_result['age']
    gender = analysis_result['gender']
    race = analysis_result['dominant_race']
    emotion = analysis_result['dominant_emotion']
    emotions_detail = analysis_result['emotion']

    # Return the results
    return age, gender, race, emotion, emotions_detail

# Define the Gradio interface
iface = gr.Interface(
    fn=analyze_face,
    inputs=gr.Image(type="pil"),
    outputs=[gr.Number(label="Age"), 
             gr.Text(label="Gender"), 
             gr.Text(label="Race"), 
             gr.Text(label="Dominant Emotion"),
             gr.JSON(label="Emotion Breakdown")]
)

# Launch the Gradio app
iface.launch()