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| import streamlit as st | |
| import cv2 | |
| import numpy as np | |
| import datetime | |
| import os | |
| import time | |
| import base64 | |
| import re | |
| import glob | |
| from camera_input_live import camera_input_live | |
| # Set wide layout | |
| st.set_page_config(layout="wide") | |
| # Function Definitions for Camera Feature | |
| def save_image(image): | |
| timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") | |
| filename = f"captured_image_{timestamp}.png" | |
| bytes_data = image.getvalue() | |
| cv2_img = cv2.imdecode(np.frombuffer(bytes_data, np.uint8), cv2.IMREAD_COLOR) | |
| cv2.imwrite(filename, cv2_img) | |
| return filename | |
| def get_image_base64(image_path): | |
| with open(image_path, "rb") as image_file: | |
| return base64.b64encode(image_file.read()).decode() | |
| # Function Definitions for Chord Sheet Feature | |
| def process_line(line): | |
| if re.search(r'\b[A-G][#b]?m?\b', line): | |
| line = re.sub(r'\b([A-G][#b]?m?)\b', r"<img src='\1.png' style='height:20px;'>", line) | |
| return line | |
| def process_chord_sheet(chord_sheet): | |
| processed_lines = [] | |
| for line in chord_sheet.split('\n'): | |
| processed_line = process_line(line) | |
| processed_lines.append(processed_line) | |
| return '<br>'.join(processed_lines) | |
| # Main Function | |
| def main(): | |
| # Layout Configuration | |
| col1, col2, col3 = st.columns([2, 3, 5]) | |
| # Camera Section | |
| with col1: | |
| st.title("Real-Time Camera Stream") | |
| st.header("QR code reader ready.") | |
| snapshot_interval = st.slider("Snapshot Interval (seconds)", 1, 10, 5) | |
| image_placeholder = st.empty() | |
| if 'captured_images' not in st.session_state: | |
| st.session_state['captured_images'] = [] | |
| if 'last_captured' not in st.session_state: | |
| st.session_state['last_captured'] = time.time() | |
| image = camera_input_live() | |
| if image is not None: | |
| image_placeholder.image(image) | |
| if time.time() - st.session_state['last_captured'] > snapshot_interval: | |
| filename = save_image(image) | |
| st.session_state['captured_images'].append(filename) | |
| st.session_state['last_captured'] = time.time() | |
| sidebar_html = "<div style='display:flex;flex-direction:column;'>" | |
| for img_file in st.session_state['captured_images']: | |
| image_base64 = get_image_base64(img_file) | |
| sidebar_html += f"<img src='data:image/png;base64,{image_base64}' style='width:100px;'><br>" | |
| sidebar_html += "</div>" | |
| st.sidebar.markdown("## Captured Images") | |
| st.sidebar.markdown(sidebar_html, unsafe_allow_html=True) | |
| # Chord Sheet Section | |
| with col2: | |
| st.title("Chord Sheet Manager") | |
| all_files = [f for f in glob.glob("*.txt") if ' by ' in f] | |
| selected_file = st.selectbox("Choose a Song:", all_files) | |
| if selected_file: | |
| with open(selected_file, 'r', encoding='utf-8') as file: | |
| chord_sheet = file.read() | |
| st.markdown(process_chord_sheet(chord_sheet), unsafe_allow_html=True) | |
| # Trigger a rerun to update the live feed | |
| st.experimental_rerun() | |
| if __name__ == "__main__": | |
| main() | |