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app.py

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-{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","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}],"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":"code","source":"!git clone https://github.com/C0untFloyd/roop-unleashed.git\n%cd roop-unleashed\n!mv /kaggle/input/config/config_colab.yaml config.yaml\n!pip install pip install -r requirements.txt","metadata":{"id":"t1yPuhdySqCq","execution":{"iopub.status.busy":"2023-12-14T08:38:42.261656Z","iopub.execute_input":"2023-12-14T08:38:42.261978Z","iopub.status.idle":"2023-12-14T08:43:22.254873Z","shell.execute_reply.started":"2023-12-14T08:38:42.261951Z","shell.execute_reply":"2023-12-14T08:43:22.253615Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"Cloning into 'roop-unleashed'...\nremote: Enumerating objects: 2540, done.\u001b[K\nremote: Counting objects: 100% (5/5), done.\u001b[K\nremote: Compressing objects: 100% (5/5), done.\u001b[K\nremote: Total 2540 (delta 0), reused 2 (delta 0), pack-reused 2535\u001b[K\nReceiving objects: 100% (2540/2540), 103.84 MiB | 15.59 MiB/s, done.\nResolving deltas: 100% (1579/1579), done.\n/kaggle/working/roop-unleashed\nmv: cannot remove '/kaggle/input/config/config_colab.yaml': Read-only file 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lit\n  Building wheel for insightface (pyproject.toml) ... \u001b[?25ldone\n\u001b[?25h  Created wheel for insightface: filename=insightface-0.7.3-cp310-cp310-linux_x86_64.whl size=872761 sha256=c7c4eed616b54f4af4cd544c0c8c26cb66d12a220d29dd7cfd6ecfd8f12ffe00\n  Stored in directory: /root/.cache/pip/wheels/e3/d0/80/e3773fb8b6d1cca87ea1d33d9b1f20a223a6493c896da249b5\n  Building wheel for ffmpy (setup.py) ... \u001b[?25ldone\n\u001b[?25h  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=c52e90e2b53b0092757ab6dba466b682ffae53629f805fc10612aceb25cc2ce6\n  Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n  Building wheel for lit (pyproject.toml) ... \u001b[?25ldone\n\u001b[?25h  Created wheel for lit: filename=lit-17.0.6-py3-none-any.whl size=93255 sha256=362420f323cc9b24a24c3eef40820398f60fa5787745401aacd4cee6f155c0d2\n  Stored in directory: /root/.cache/pip/wheels/30/dd/04/47d42976a6a86dc2ab66d7518621ae96f43452c8841d74758a\nSuccessfully built insightface ffmpy lit\nInstalling collected packages: wcwidth, lit, ffmpy, cmake, websockets, semantic-version, python-multipart, psutil, protobuf, pillow, numpy, install, humanfriendly, httpcore, ftfy, aiofiles, pyvirtualcam, opencv-python, onnx, httpx, coloredlogs, onnxruntime-gpu, gradio-client, gradio, insightface, triton, torch, torchvision\n  Attempting uninstall: wcwidth\n    Found existing installation: wcwidth 0.2.6\n    Uninstalling wcwidth-0.2.6:\n      Successfully uninstalled wcwidth-0.2.6\n  Attempting uninstall: websockets\n    Found existing installation: websockets 12.0\n    Uninstalling websockets-12.0:\n      Successfully uninstalled websockets-12.0\n  Attempting uninstall: psutil\n    Found existing installation: psutil 5.9.3\n    Uninstalling psutil-5.9.3:\n      Successfully uninstalled psutil-5.9.3\n  Attempting uninstall: protobuf\n    Found existing installation: protobuf 3.20.3\n    Uninstalling protobuf-3.20.3:\n      Successfully uninstalled protobuf-3.20.3\n  Attempting uninstall: pillow\n    Found existing installation: Pillow 10.1.0\n    Uninstalling Pillow-10.1.0:\n      Successfully uninstalled Pillow-10.1.0\n  Attempting uninstall: numpy\n    Found existing installation: numpy 1.24.3\n    Uninstalling numpy-1.24.3:\n      Successfully uninstalled numpy-1.24.3\n  Attempting uninstall: opencv-python\n    Found existing installation: opencv-python 4.8.1.78\n    Uninstalling opencv-python-4.8.1.78:\n      Successfully uninstalled opencv-python-4.8.1.78\n  Attempting uninstall: onnx\n    Found existing installation: onnx 1.15.0\n    Uninstalling onnx-1.15.0:\n      Successfully uninstalled onnx-1.15.0\n  Attempting uninstall: torch\n    Found existing installation: torch 2.0.0\n    Uninstalling torch-2.0.0:\n      Successfully uninstalled torch-2.0.0\n  Attempting uninstall: torchvision\n    Found existing installation: torchvision 0.15.1\n    Uninstalling torchvision-0.15.1:\n      Successfully uninstalled torchvision-0.15.1\n\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\ncudf 23.8.0 requires cupy-cuda11x>=12.0.0, which is not installed.\ncuml 23.8.0 requires cupy-cuda11x>=12.0.0, which is not installed.\ndask-cudf 23.8.0 requires cupy-cuda11x>=12.0.0, which is not installed.\napache-beam 2.46.0 requires dill<0.3.2,>=0.3.1.1, but you have dill 0.3.7 which is incompatible.\napache-beam 2.46.0 requires protobuf<4,>3.12.2, but you have protobuf 4.23.2 which is incompatible.\napache-beam 2.46.0 requires pyarrow<10.0.0,>=3.0.0, but you have pyarrow 11.0.0 which is incompatible.\nbeatrix-jupyterlab 2023.814.150030 requires jupyter-server~=1.16, but you have jupyter-server 2.12.1 which is incompatible.\nbeatrix-jupyterlab 2023.814.150030 requires jupyterlab~=3.4, but you have jupyterlab 4.0.5 which is incompatible.\ncudf 23.8.0 requires pandas<1.6.0dev0,>=1.3, but you have pandas 2.0.3 which is incompatible.\ncuml 23.8.0 requires dask==2023.7.1, but you have dask 2023.12.0 which is incompatible.\ncuml 23.8.0 requires distributed==2023.7.1, but you have distributed 2023.12.0 which is incompatible.\ndask-cuda 23.8.0 requires dask==2023.7.1, but you have dask 2023.12.0 which is incompatible.\ndask-cuda 23.8.0 requires distributed==2023.7.1, but you have distributed 2023.12.0 which is incompatible.\ndask-cuda 23.8.0 requires pandas<1.6.0dev0,>=1.3, but you have pandas 2.0.3 which is incompatible.\ndask-cudf 23.8.0 requires dask==2023.7.1, but you have dask 2023.12.0 which is incompatible.\ndask-cudf 23.8.0 requires distributed==2023.7.1, but you have distributed 2023.12.0 which is incompatible.\ndask-cudf 23.8.0 requires pandas<1.6.0dev0,>=1.3, but you have pandas 2.0.3 which is incompatible.\ngoogle-cloud-aiplatform 0.6.0a1 requires google-api-core[grpc]<2.0.0dev,>=1.22.2, but you have google-api-core 2.11.1 which is incompatible.\ngoogle-cloud-automl 1.0.1 requires google-api-core[grpc]<2.0.0dev,>=1.14.0, but you have google-api-core 2.11.1 which is incompatible.\ngoogle-cloud-bigquery 2.34.4 requires protobuf<4.0.0dev,>=3.12.0, but you have protobuf 4.23.2 which is incompatible.\ngoogle-cloud-bigtable 1.7.3 requires protobuf<4.0.0dev, but you have protobuf 4.23.2 which is incompatible.\ngoogle-cloud-pubsub 2.18.3 requires grpcio<2.0dev,>=1.51.3, but you have grpcio 1.51.1 which is incompatible.\ngoogle-cloud-vision 2.8.0 requires protobuf<4.0.0dev,>=3.19.0, but you have protobuf 4.23.2 which is incompatible.\njupyterlab 4.0.5 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible.\njupyterlab-lsp 5.0.1 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible.\njupyterlab-lsp 5.0.1 requires jupyterlab<5.0.0a0,>=4.0.6, but you have jupyterlab 4.0.5 which is incompatible.\nkfp 2.0.1 requires google-cloud-storage<3,>=2.2.1, but you have google-cloud-storage 1.44.0 which is incompatible.\nkfp 2.0.1 requires protobuf<4,>=3.13.0, but you have protobuf 4.23.2 which is incompatible.\nkfp-pipeline-spec 0.2.2 requires protobuf<4,>=3.13.0, but you have protobuf 4.23.2 which is incompatible.\nlibpysal 4.9.2 requires packaging>=22, but you have packaging 21.3 which is incompatible.\nlibpysal 4.9.2 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.\nmomepy 0.7.0 requires shapely>=2, but you have shapely 1.8.5.post1 which is incompatible.\npymc3 3.11.5 requires numpy<1.22.2,>=1.15.0, but you have numpy 1.24.2 which is incompatible.\npymc3 3.11.5 requires scipy<1.8.0,>=1.7.3, but you have scipy 1.11.4 which is incompatible.\nraft-dask 23.8.0 requires dask==2023.7.1, but you have dask 2023.12.0 which is incompatible.\nraft-dask 23.8.0 requires distributed==2023.7.1, but you have distributed 2023.12.0 which is incompatible.\nspopt 0.6.0 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.\ntensorflow-metadata 0.14.0 requires protobuf<4,>=3.7, but you have protobuf 4.23.2 which is incompatible.\ntensorflow-transform 0.14.0 requires protobuf<4,>=3.7, but you have protobuf 4.23.2 which is incompatible.\ntensorflowjs 4.14.0 requires packaging~=23.1, but you have packaging 21.3 which is incompatible.\nydata-profiling 4.5.1 requires numpy<1.24,>=1.16.0, but you have numpy 1.24.2 which is incompatible.\u001b[0m\u001b[31m\n\u001b[0mSuccessfully installed aiofiles-23.2.1 cmake-3.28.0 coloredlogs-15.0.1 ffmpy-0.3.1 ftfy-6.1.3 gradio-3.44.2 gradio-client-0.5.0 httpcore-1.0.2 httpx-0.25.2 humanfriendly-10.0 insightface-0.7.3 install-1.3.5 lit-17.0.6 numpy-1.24.2 onnx-1.14.1 onnxruntime-gpu-1.16.1 opencv-python-4.8.0.76 pillow-10.0.1 protobuf-4.21.12 psutil-5.9.5 python-multipart-0.0.6 pyvirtualcam-0.11.0 semantic-version-2.10.0 torch-2.0.1+cu118 torchvision-0.15.2+cu118 triton-2.0.0 wcwidth-0.2.12 websockets-11.0.3\n","output_type":"stream"}]},{"cell_type":"code","source":"# - Option 2: Running with Ngrok - #\n\nNgrok_token = \"2ZWTws788W0yCRfSiYv577ERD43_71cfSv4z3v4mr2otT4WED\" #@param {type:\"string\"}\n# Put your ngrok token here (obtainable from https://ngrok.com)\n\nNgrok_domain = \"\" # optional, leave empty if you don't have a domain\n\n# -------------------------------- #\n\n!pip install pyngrok\n\nfrom pyngrok import ngrok, conf\nimport fileinput\nimport sys\n\nif Ngrok_token!=\"\":\n  ngrok.kill()\n  srv=ngrok.connect(7860 , pyngrok_config=conf.PyngrokConfig(auth_token=Ngrok_token),\n                    bind_tls=True, domain=Ngrok_domain).public_url\n  print(srv)\n  get_ipython().system(\"python run.py\")\nelse:\n  print('An ngrok token is required. You can get one on https://ngrok.com and paste it into the ngrok_token field.')","metadata":{"execution":{"iopub.status.busy":"2023-12-14T08:46:16.518991Z","iopub.execute_input":"2023-12-14T08:46:16.519381Z"},"trusted":true},"execution_count":null,"outputs":[{"name":"stdout","text":"Requirement already satisfied: pyngrok in /opt/conda/lib/python3.10/site-packages (7.0.3)\nRequirement already satisfied: PyYAML in /opt/conda/lib/python3.10/site-packages (from pyngrok) (6.0.1)\nhttps://c0a1-34-172-117-153.ngrok-free.app\n/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.2\n  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\nUsing provider ['CUDAExecutionProvider'] - Device:cuda\nRunning on local URL:  http://127.0.0.1:7860\n\nTo create a public link, set `share=True` in `launch()`.\n","output_type":"stream"}]},{"cell_type":"markdown","source":"Running roop-unleashed with default config","metadata":{"id":"u_4JQiSlV9Fi"}},{"cell_type":"code","source":"!apt-get update && apt-get install ffmpeg libsm6 libxext6  -y\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Download generated images folder\n(only needed if you want to zip the generated output)","metadata":{"id":"UdQ1VHdI8lCf"}},{"cell_type":"code","source":"import shutil\nimport os\nfrom google.colab import files\n\ndef zip_directory(directory_path, zip_path):\n    shutil.make_archive(zip_path, 'zip', directory_path)\n\n# Set the directory path you want to download\ndirectory_path = '/content/roop-unleashed/output'\n\n# Set the zip file name\nzip_filename = 'fake_output.zip'\n\n# Zip the directory\nzip_directory(directory_path, zip_filename)\n\n# Download the zip file\nfiles.download(zip_filename+'.zip')\n","metadata":{"id":"oYjWveAmw10X","outputId":"5b4c3650-f951-434a-c650-5525a8a70c1e","trusted":true},"execution_count":null,"outputs":[]}]}
+pip install gradio
+import gradio as gr
+
+# Define your face swapping function here
+def swap_faces(image):
+    # Your face swapping logic here
+    return swapped_image
+
+# Create Gradio interface
+iface = gr.Interface(fn=swap_faces, 
+                      inputs="image", 
+                      outputs="image",
+                      title="Face Swapping",
+                      description="Upload an image to swap faces.")
+
+# Launch Gradio interface
+iface.launch()
+
+python app.py