Roop-Unleashed 4.1.4.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":6898670,"sourceType":"datasetVersion","datasetId":3954404},{"sourceId":6925544,"sourceType":"datasetVersion","datasetId":3953428}],"dockerImageVersionId":30747,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Colab for roop-unleashed - Gradio version\nhttps://github.com/C0untFloyd/roop-unleashed\n","metadata":{"id":"G9BdiCppV6AS"}},{"cell_type":"markdown","source":"Installing & preparing requirements","metadata":{"id":"0ZYRNb0AWLLW"}},{"cell_type":"markdown","source":"# Installation ","metadata":{}},{"cell_type":"code","source":"from IPython.display import clear_output\nimport torch\nimport codecs\n\nif torch.cuda.is_available():\n    !apt-get update\n    !apt-get install -y nvidia-cuda-toolkit\n    device = \"cuda\"\n    print(\"Using GPU\")\nelse:\n    device = \"cpu\"\n    print(\"Using CPU\")\n\ngit_repo_rot13 = 'uggcf://tvguho.pbz/P0hagSyblq/ebbc-hayrnfurq.tvg'\ngit_repo = codecs.decode(git_repo_rot13, 'rot 13')\n\ndirectory_rot13 = 'ebbc-hayrnfurq'\ndirectory = codecs.decode(directory_rot13, 'rot 13')\n\n# Clone the repository\n!git clone $git_repo /kaggle/working/$directory\n\n# Change directory to the cloned repository\n%cd /kaggle/working/$directory\n\n# Install requirements if they exist\n!pip install -r requirements.txt\n\n# Install additional package\n!pip install onnxruntime-gpu\n","metadata":{"id":"t1yPuhdySqCq","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Launch with Pinggy","metadata":{}},{"cell_type":"code","source":"from multiprocessing import Process\nimport sys\nimport time\nimport codecs\n\n# Ensure the log file exists and is empty\nwith open('log.txt', 'w') as f:\n    pass\n\ndef run_app():\n    directory_rot13 = 'ebbc-hayrnfurq'\n    directory = codecs.decode(directory_rot13, 'rot13')\n    cmd = f\"python /kaggle/working/{directory}/run.py & ssh -o StrictHostKeyChecking=no -p 80 -R 0:localhost:7860 a.pinggy.io > log.txt 2>&1\"\n    get_ipython().system(cmd)\n\ndef print_url():\n    print(\"Waiting for output...\")\n    time.sleep(5)  # Allow more time for the log file to be written\n\n    found = False\n    while not found:\n        with open('log.txt', 'r') as file:\n            end_word = '.pinggy.link'\n            for line in file:\n                start_index = line.find(\"http://\")\n                if start_index != -1:\n                    end_index = line.find(end_word, start_index)\n                    if end_index != -1:\n                        url = line[start_index:end_index + len(end_word)]\n                        print(\"😁 😁 😁\")\n                        print(\"URL: \" + url)\n                        print(\"😁 😁 😁\")\n                        found = True\n                        break\n        if not found:\n            time.sleep(5)  # Increase sleep duration before checking again\n\np_app = Process(target=run_app)\np_url = Process(target=print_url)\np_app.start()\np_url.start()\np_app.join()\np_url.join()\n\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Run With Local Tunnel","metadata":{}},{"cell_type":"code","source":"import subprocess\nimport threading\nimport time\nimport socket\nimport urllib.request\nfrom colorama import Fore, Style\n\n# Ensure localtunnel is installed\nsubprocess.run([\"npm\", \"install\", \"-g\", \"localtunnel\"], check=True)\n\ndef iframe_thread(port):\n    # Wait for the local server to be available\n    while True:\n        time.sleep(0.5)\n        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:\n            result = sock.connect_ex(('127.0.0.1', port))\n            if result == 0:\n                break\n\n    # Fetch and display the external IP address\n    external_ip = urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip()\n    print(Fore.GREEN + \"\\nExternal IP: \", Fore.RED, external_ip, \"\\n\", Style.RESET_ALL)\n\n    # Start the LocalTunnel process\n    p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)\n    for line in p.stdout:\n        if \"your url is:\" in line:\n            print(Fore.GREEN + line.strip(), Style.RESET_ALL)\n        else:\n            print(line, end='')\n    for line in p.stderr:\n        print(Fore.RED + line, end=Style.RESET_ALL)\n\ndef run_local_server():\n    # Start your main application (e.g., Gradio app)\n    subprocess.run([\"python\", \"run.py\"], check=True)\n\n# Start the iframe thread to check for the local server\nthreading.Thread(target=iframe_thread, daemon=True, args=(7860,)).start()\n\n# Start the local server\nrun_local_server()\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Flask For Ngrok","metadata":{}},{"cell_type":"code","source":"!pip install flask pyngrok\n\nfrom flask import Flask\nfrom pyngrok import ngrok\nimport threading\n\napp = Flask(__name__)\n\n@app.route('/')\ndef hello_world():\n    return 'Hello, World!'\n\ndef run_flask():\n    app.run(port=7860)\n\n# Start ngrok and expose the Flask app\ndef run_ngrok():\n    public_url = ngrok.connect(port=7860)\n    print(\" * Running on ngrok:\", public_url)\n\n# Start the Flask server and ngrok in separate threads\nflask_thread = threading.Thread(target=run_flask)\nflask_thread.start()\n\nngrok_thread = threading.Thread(target=run_ngrok)\nngrok_thread.start()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Run with Ngrok","metadata":{}},{"cell_type":"code","source":"!pip install pyngrok\n\nfrom pyngrok import ngrok\nimport os\nimport threading\nimport subprocess\nimport codecs\n\n# Function to establish ngrok tunnel\ndef start_ngrok_tunnel():\n    global ngrok_tunnel\n    try:\n        ngrok_tunnel = ngrok.connect(addr=\"7861\", proto=\"http\")\n        print(\"Ngrok Tunnel URL:\", ngrok_tunnel.public_url)\n    except Exception as e:\n        print(\"Error starting ngrok tunnel:\", e)\n\n# Set your ngrok authtoken here\nngrok.set_auth_token(\"\")\n\n# Terminate any existing ngrok sessions\ntry:\n    active_tunnels = ngrok.get_tunnels()\n    for tunnel in active_tunnels:\n        ngrok.disconnect(tunnel.public_url)\nexcept Exception as e:\n    print(\"Error retrieving or disconnecting active ngrok tunnels:\", e)\n\n# Start ngrok tunnel in a separate thread and wait for it to establish\nngrok_tunnel = None\nngrok_thread = threading.Thread(target=start_ngrok_tunnel)\nngrok_thread.start()\nngrok_thread.join()\n\n# Decode directory using ROT13\ndef decode_directory(rot13_encoded_directory):\n    return codecs.decode(rot13_encoded_directory, 'rot_13')\n\n# Directory with ROT13 encoding\ndirectory_rot13 = 'ebbc-hayrnfurq'\ndirectory = decode_directory(directory_rot13)\nprint(f\"Decoded directory: {directory}\")\n\n# Change directory to the decoded directory\nos.chdir(f\"/kaggle/working/{directory}\")\n\n# Execute the command to start the run.py script with CUDA execution providers\ncommand = \"python run.py\"\nsubprocess.run(command, shell=True)\n\n# Disconnect the ngrok tunnel\nif ngrok_tunnel:\n    try:\n        ngrok.disconnect(ngrok_tunnel.public_url)\n        print(\"Ngrok tunnel disconnected.\")\n    except Exception as e:\n        print(\"Error disconnecting ngrok tunnel:\", e)\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]}]}