app.py

import gradio as gr
from fastai.vision.all import *
from facenet_pytorch import MTCNN
import torch
from PIL import Image, ImageDraw, ImageFont, ImageFilter

# Device setup
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
print('Running on device: {}'.format(device))

# Face detector
mtcnn = MTCNN(margin=40, keep_all=True, post_process=False, device=device)

# Load model
learn = load_learner('export.pkl')

# Emotion colors
e_colors = {
    'confused': 'orange',
    'attentive': 'green',
    'bored': 'red',
    'interested': 'blue',
    'frustrated': 'purple',
    'thoughtful': 'pink'
}

# Prediction function
def predict(img):
    img = PILImage.create(img)
    boxes, _ = mtcnn.detect(img)

    if boxes is None:  # no faces detected
        return img

    o_img = Image.new("RGBA", img.size, color="white")
    draw = ImageDraw.Draw(o_img)

    try:
        font = ImageFont.truetype("arial.ttf", 20)
    except:
        font = ImageFont.load_default()

    for box in boxes:
        coords = tuple(map(int, box.tolist()))
        pred, pred_idx, probs = learn.predict(img.crop(coords))

        draw.rectangle(coords, fill=e_colors[pred], outline=(0, 0, 0), width=2)
        draw.text((coords[0] + 10, coords[1] + 10), pred.upper(), font=font, fill="white")

    return o_img.filter(ImageFilter.SMOOTH_MORE)


# Title + description
title = "Students Emotion Classifier"
description = """
<div style="display: flex; flex-wrap: wrap;">
  <div style="width: 200px; margin: 10px;">
    <div style="background-color: orange; width: 50px; height: 50px;"></div><p>Confused</p>
  </div>
  <div style="width: 200px; margin: 10px;">
    <div style="background-color: green; width: 50px; height: 50px;"></div><p>Attentive</p>
  </div>
  <div style="width: 200px; margin: 10px;">
    <div style="background-color: red; width: 50px; height: 50px;"></div><p>Bored</p>
  </div>
  <div style="width: 200px; margin: 10px;">
    <div style="background-color: blue; width: 50px; height: 50px;"></div><p>Interested</p>
  </div>
  <div style="width: 200px; margin: 10px;">
    <div style="background-color: purple; width: 50px; height: 50px;"></div><p>Frustrated</p>
  </div>
  <div style="width: 200px; margin: 10px;">
    <div style="background-color: pink; width: 50px; height: 50px;"></div><p>Thoughtful</p>
  </div>
</div>
"""

# Gradio modern UI
with gr.Blocks() as demo:
    gr.Markdown(f"# {title}")
    gr.HTML(description)

    with gr.Row():
        webcam = gr.Image(sources=["webcam"], type="pil", height=512, width=512, label="Webcam Input")
        output = gr.Image(type="pil", label="Predicted Output")

    run_btn = gr.Button("Classify Emotions")
    run_btn.click(fn=predict, inputs=webcam, outputs=output)

demo.launch()