app.py

import streamlit as st
import torch
import numpy as np
import matplotlib.pyplot as plt
from model import Generator

# Load model
device = torch.device("cpu")
generator = Generator()
generator.load_state_dict(torch.load("generator_digit.pth", map_location=device))
generator.eval()

st.title("🧠 MNIST Digit Generator")
digit = st.selectbox("Select a digit (0-9):", list(range(10)))

if st.button("Generate 5 Images"):
    noise = torch.randn(5, 100)
    labels = torch.tensor([digit] * 5)
    with torch.no_grad():
        generated = generator(noise, labels)

    fig, axs = plt.subplots(1, 5, figsize=(10, 2))
    for i in range(5):
        axs[i].imshow(generated[i].squeeze(), cmap='gray')
        axs[i].axis('off')
    st.pyplot(fig)