Spaces:
Runtime error
Runtime error
import glob | |
import random | |
import numpy as np | |
import streamlit as st | |
import tensorflow as tf | |
import matplotlib.pyplot as plt | |
from huggingface_hub import from_pretrained_keras | |
def load_model(): | |
generator = from_pretrained_keras("huggan/crypto-gan") | |
return generator | |
def generate(n_images, generator, seed=42, codings_size=100): | |
noise = tf.random.normal(shape=[n_images, codings_size], seed=seed) | |
generated_images = generator(noise, training=False) | |
return generated_images.numpy() | |
def get_captcha(images, indexes): | |
fake_idx = [] | |
fig, axis = plt.subplots(3, 3, figsize=(10, 10)) | |
axis = axis.flatten() | |
for ax_idx, idx in enumerate(indexes): | |
if indexes[idx] < n_fake: | |
fake_idx.append(idx) | |
axis[ax_idx].imshow(images[idx]) | |
axis[ax_idx].set_title(f"Punk {ax_idx+1}") | |
axis[ax_idx].axis('off') | |
return fig, fake_idx | |
def get_challenge(): | |
real_idx = np.random.randint(low=0, high=len(real_files), size=n_real) | |
real_samples = np.array([plt.imread(real_files[idx]) for idx in real_idx]) | |
generated_samples = generate(n_fake, generator) | |
captcha_samples = np.concatenate((generated_samples, real_samples)) | |
captcha_idx = [x for x in range(len(captcha_samples))] | |
random.shuffle(captcha_idx) | |
fig, fake_idx = get_captcha(captcha_samples, captcha_idx) | |
correct_answer = [f"Punk {x+1}" for x in fake_idx] | |
correct_answer.sort() | |
st.session_state.session_captcha = fig | |
st.session_state.correct = correct_answer | |
# Session captcha | |
if 'session_captcha' not in st.session_state: | |
st.session_state['session_captcha'] = None | |
if 'correct' not in st.session_state: | |
st.session_state['correct'] = [] | |
n_real = 6 | |
n_fake = 3 | |
n_samples = n_real + n_fake | |
real_images_path = "./data/images" | |
real_files = glob.glob(f"{real_images_path}/*") | |
generator = load_model() | |
st.title("CryptoPunk Captcha") | |
st.header("Are you a human?") | |
st.subheader("Choose the 3 fake CryptoPunks") | |
if st.session_state.session_captcha is None: | |
get_challenge() | |
st.pyplot(st.session_state.session_captcha) # Display captcha | |
options = st.multiselect('Choose',[f"Punk {x+1}" for x in range(n_samples)]) # Selected options | |
to_verify = st.button("Verify") | |
if to_verify: | |
options.sort() | |
verified = st.session_state.correct == options | |
if verified: | |
st.write("Correct") | |
else: | |
st.write("Wrong") | |
get_challenge() # Refresh challenge | |
st.button("Try again?") | |