feat: add docker support

.dockerignore

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+nimenv_localminers/
+my_model/
+.DS_Store
+.env

.env.example

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+ADDR=

.gitignore

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 nimenv_localminers/
 my_model/
-.DS_Store
+.DS_Store
+.env

README.md

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-# nimble-miner-public
+# nimble-miner-public
+
+## How to use nimble miner with docker
+
+### 1. Install docker and nvidia-docker
+[install-guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)
+#### Installing with Apt
+1. Configure the production repository:
+```
+$ curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
+  && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
+    sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
+    sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
+```
+
+2. Optionally, configure the repository to use experimental packages:
+
+```
+$ sed -i -e '/experimental/ s/^#//g' /etc/apt/sources.list.d/nvidia-container-toolkit.list
+```
+
+3. Update the packages list from the repository:
+
+```
+$ sudo apt-get update
+```
+
+4. Install the NVIDIA Container Toolkit packages:
+```
+$ sudo apt-get install -y nvidia-container-toolkit
+```
+### 2. Config ENV
+copy .env.example to .env and edit it
+```
+cp .env.example .env
+```
+
+env example
+```
+ADDR=nimblexxxx
+```
+### 3. Start
+#### via docker-compose
+```
+docker-compose up -d
+<!-- See Log -->
+docker logs -f nimble-miner-public-miner-1
+```
+#### via docker
+```
+docker build -t nimble-miner-public:latest .
+docker run -d --gpus all --name nimble-miner-public-miner-1 nimble-miner-public:latest "python3 -u /app/execute.py ${YOUR_ADDR}"

docker-compose.yaml

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+version: "3.8"
+services:
+  miner:
+    build: .
+    volumes:
+      - ./my_module:/app/my_module
+      - ./nimenv_localminers:/app/nimenv_localminers
+    command: "python3 -u /app/execute.py ${ADDR}"
+    env_file:
+      - .env
+    ulimits:
+      memlock: -1
+      stack: 67108864
+    # https://docs.docker.com/compose/gpu-support/
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1 # number of GPUs
+              capabilities: [gpu]

dockerfile

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+FROM nvcr.io/nvidia/pytorch:23.07-py3
+WORKDIR /app
+COPY requirements-docker.txt /app
+RUN pip install -r requirements-docker.txt
+COPY . /app

requirements-docker.txt

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+requests==2.31.0
+accelerate==0.27.0
+transformers==4.38.1
+datasets==2.17.1
+numpy==1.26.4
+gitpython==3.1.42