Merge pull request #182 from CerebriumAI/jono/update-include-exclude-…

…array

refactor: update include/exclude to toml array

cerebrium/environments/config-files.mdx

@@ -138,8 +138,8 @@ Below is an example of a config file that takes advantage of all the features we
 [cerebrium.deployment]
 name = "my-app"
 python_version = "3.10"
-include = "[./*, main.py]"
-exclude = "[./.*, ./__*]"
+include = ["./*", "main.py"]
+exclude = ["./.*", "./__*"]
 docker_base_image_url = "debian:bookworm-slim"
 shell_commands = []
 

migrations/hugging-face.mdx

@@ -57,8 +57,8 @@ Scaffold your application by running `cerebrium init [PROJECT_NAME]`. During the
 name = "llama-8b-vllm"
 python_version = "3.11"
 docker_base_image_url = "debian:bookworm-slim"
-include = "[./*, main.py, cerebrium.toml]"
-exclude = "[.*]"
+include = ["./*", "main.py", "cerebrium.toml"]
+exclude = [".*"]
 
 [cerebrium.hardware]
 cpu = 2

migrations/replicate.mdx

@@ -25,8 +25,8 @@ Looking at the cog.yaml, we need to add/change the following in our cerebrium.to
 [cerebrium.deployment]
 name = "cog-migration-sdxl"
 python_version = "3.11"
-include = "[./*, main.py, cerebrium.toml]"
-exclude = "[./example_exclude]"
+include = ["./*", "main.py", "cerebrium.toml"]
+exclude = ["./example_exclude"]
 docker_base_image_url = "nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04"
 shell_commands = [
     "curl -o /usr/local/bin/pget -L 'https://github.com/replicate/pget/releases/download/v0.6.2/pget_linux_x86_64' && chmod +x /usr/local/bin/pget"

v4/examples/langchain.mdx

@@ -160,8 +160,8 @@ disable_deployment_confirmation = false
 [cerebrium.deployment]
 name = "langchain-qa"
 python_version = "3.10"
-include = "[./*, main.py]"
-exclude = "[./.*, ./__*]"
+include = ["./*", "main.py"]
+exclude = ["./.*", "./__*"]
 
 [cerebrium.hardware]
 gpu = "AMPERE_A5000"

v4/examples/mistral-vllm.mdx

@@ -121,8 +121,8 @@ disable_confirmation = false
 [cerebrium.deployment]
 name = "mistral-vllm"
 python_version = "3.11"
-include = "[./*, main.py, cerebrium.toml]"
-exclude = "[./example_exclude]"
+include = ["./*", "main.py", "cerebrium.toml"]
+exclude = ["./example_exclude"]
 docker_base_image_url = "nvidia/cuda:12.1.1-runtime-ubuntu22.04"
 
 [cerebrium.hardware]

v4/examples/sdxl.mdx

@@ -33,8 +33,8 @@ To start, your cerebrium.toml file is where you can set your compute/environment
 [cerebrium.deployment]
 name = "sdxl"
 python_version = "3.10"
-include = "[./*, main.py, cerebrium.toml]"
-exclude = "[./.*, ./__*]"
+include = ["./*", "main.py", "cerebrium.toml"]
+exclude = ["./.*", "./__*"]
 docker_base_image_url = "debian:bookworm-slim"
 
 [cerebrium.hardware]

v4/examples/streaming-falcon-7B.mdx

@@ -147,8 +147,8 @@ disable_confirmation = false
 [cerebrium.deployment]
 name = "streaming-falcon"
 python_version = "3.11"
-include = "[./*, main.py, cerebrium.toml]"
-exclude = "[./example_exclude]"
+include = ["./*", "main.py", "cerebrium.toml"]
+exclude = ["./example_exclude"]
 docker_base_image_url = "nvidia/cuda:12.1.1-runtime-ubuntu22.04"
 
 [cerebrium.hardware]

v4/examples/tensorRT.mdx

@@ -34,8 +34,8 @@ TensorRT-LLM has a demo implementation of Llama on its GitHub repo which you can
 [cerebrium.deployment]
 name = "llama-3b-tensorrt"
 python_version = "3.10"
-include = "[./*, main.py, cerebrium.toml]"
-exclude = "[./example_exclude]"
+include = ["./*", "main.py", "cerebrium.toml"]
+exclude = ["./example_exclude"]
 docker_base_image_url = "nvidia/cuda:12.1.1-runtime-ubuntu22.04"
 
 [cerebrium.hardware]

v4/examples/transcribe-whisper.mdx

@@ -128,8 +128,8 @@ Your cerebrium.toml file is where you can set your compute/environment. Your cer
 [cerebrium.deployment]
 name = "distil-whisper"
 python_version = "3.11"
-include = "[./*, main.py, cerebrium.toml]"
-exclude = "[./example_exclude]"
+include = ["./*", "main.py", "cerebrium.toml"]
+exclude = ["./example_exclude"]
 docker_base_image_url = "nvidia/cuda:12.1.1-runtime-ubuntu22.04"
 
 [cerebrium.hardware]