Gradio container test.

.devcontainer/devcontainer.json

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+// For format details, see https://aka.ms/devcontainer.json. For config options, see the
+// README at: https://github.com/devcontainers/templates/tree/main/src/ubuntu
+{
+	"name": "",
+	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
+	//"image": "mcr.microsoft.com/devcontainers/base:jammy"
+	"build": {
+		"dockerfile": "../Dockerfile"
+	},
+	// Features to add to the dev container. More info: https://containers.dev/features.
+	// "features": {},
+	// Use 'forwardPorts' to make a list of ports inside the container available locally.
+	// "forwardPorts": [],
+	// Use 'postCreateCommand' to run commands after the container is created.
+	// "postCreateCommand": "uname -a",
+	// Configure tool-specific properties.
+	"customizations": {
+		"vscode": {
+			"extensions": [
+				"ms-python.python",
+				"ms-python.vscode-pylance",
+				"ms-toolsai.jupyter",
+				"ms-toolsai.vscode-jupyter-cell-tags",
+				"ms-toolsai.tensorboard",
+				"ms-toolsai.jupyter-keymap",
+				"ms-toolsai.jupyter-renderers",
+				"ms-toolsai.vscode-jupyter-slideshow",
+				"ms-toolsai.datawrangler",
+				"ms-azuretools.vscode-docker",
+				"github.vscode-github-actions",
+				"github.copilot",
+				"github.copilot-chat",
+				"mechatroner.rainbow-csv"
+			]
+		}
+	},
+	"runArgs": [
+		"--shm-size=1gb",
+		"--gpus",
+		"all"
+	]
+	// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
+	// "remoteUser": "root"
+}

.gitattributes

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-*.model filter=lfs diff=lfs merge=lfs -text
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-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

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+FROM python:3.12.10-bookworm
+
+# ENV PIP_ROOT_USER_ACTION=ignore
+ARG USERNAME=mcp_user
+ARG USER_UID=1000
+ARG SRV_WORKDIR=app_srv
+
+WORKDIR /tmp/
+COPY requirements.txt packages.txt ./
+
+RUN apt-get -y update && apt-get -y upgrade && xargs apt -y install < packages.txt
+RUN pip install --no-cache-dir --upgrade pip
+
+# Install CUDA 12.8
+
+RUN wget https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/cuda-keyring_1.1-1_all.deb \
+    && dpkg -i cuda-keyring_1.1-1_all.deb \
+    && apt-get update \
+    && apt-get -y install cuda-toolkit-12-8
+
+# https://docs.nvidia.com/cuda/cuda-installation-guide-linux/#post-installation-actions 
+ENV PATH=/usr/local/cuda-12.8/bin:${PATH}
+ENV LD_LIBRARY_PATH=/usr/local/cuda-12.8/lib64:/usr/lib/x86_64-linux-gnu/
+
+
+# Install cuDNN for CUDA 12
+RUN wget https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/cuda-keyring_1.1-1_all.deb \
+	&& dpkg -i cuda-keyring_1.1-1_all.deb \
+	&& apt-get update \
+	&& apt-get -y install cudnn-cuda-12
+
+# Install Pytorch for CUDA 12.8
+RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
+
+# Install other python packages
+# RUN rm -f /usr/lib/python3.12/EXTERNALLY-MANAGED
+RUN pip3 install --no-cache-dir -r requirements.txt
+
+# Clear after build image
+RUN apt-get clean
+RUN rm -rf /tmp/*
+
+# https://huggingface.co/docs/hub/spaces-sdks-docker#permissions
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u $USER_UID $USERNAME
+# Switch to the "user" user
+USER $USERNAME
+# Set home to the user's home directory
+ENV HOME=/home/$USERNAME \
+	PATH=/home/$USERNAME/.local/bin:$PATH
+# Set the working directory to the user's home directory
+WORKDIR $HOME/$SRV_WORKDIR
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=$USERNAME ./app_srv/* $HOME/$SRV_WORKDIR
+
+# Gradio configuration 
+EXPOSE 7860
+ENV GRADIO_SERVER_NAME="0.0.0.0"
+
+CMD ["python", "app_srv.py"]
+# CMD ["bash"]

README.md

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----
-title: Video Analyser
-emoji: 📊
-colorFrom: indigo
-colorTo: pink
-sdk: docker
-pinned: false
-license: gpl-3.0
-short_description: Analysing video with audio with AI
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Video Analyser
+emoji: 📊
+colorFrom: indigo
+colorTo: pink
+sdk: docker
+pinned: false
+license: gpl-3.0
+short_description: Analysing video with audio with AI
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app_srv/app_srv.py

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+import gradio as gr
+
+def greet(name):
+    return f"Привет, {name}!"
+
+# Интерфейс Gradio
+demo = gr.Interface(
+    fn=greet,  # Функция для вызова
+    inputs=gr.Textbox(label="Введите имя"),  # Поле ввода
+    outputs=gr.Textbox(label="Результат"),  # Поле вывода
+    title="Тестовое Gradio-приложение",  # Заголовок
+    description="Минимальный пример для проверки работоспособности."  # Описание
+)
+
+# Запуск приложения
+if __name__ == "__main__":
+    demo.launch()

packages.txt

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+ffmpeg
+git
+git-lfs
+htop
+iotop
+libxml2
+libopenblas-dev
+libssl-dev
+python3-pip
+python3-wheel
+python3-setuptools
+python-is-python3
+wget
+zlib1g

requirements.txt

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+transformers
+datasets
+evaluate
+gradio
+uvicorn[standard]