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knox / Jina-7.sh

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1	TextToImage/
2	├── executor.py
3	├── config.yml
4	├── requirements.txt

knox / Jina-6.py

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1	jtype: Deployment
2	with:
3	uses: TextToImage
4	timeout_ready: -1
5	py_modules:
6	- text_to_image.py
7	env:
8	CUDA_VISIBLE_DEVICES: RR
9	replicas: 2
10	uses_dynamic_batching:

knox / Jina-5.py

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1	from jina import Flow
2
3	flow = Flow(port=12345).add(uses=StableLM).add(uses=TextToImage)
4
5	with flow:
6	flow.block()

knox / Jina-4.py

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1	from jina import Client
2	from docarray import DocList
3	from executor import Prompt, Generation
4
5	prompt = Prompt(text='suggest an interesting image generation prompt')
6	client = Client(port=12345)
7	response = client.post('/', inputs=[prompt], return_type=DocList[Generation])

knox / Jina-3.yaml

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1	jtype: Deployment
2	with:
3	uses: StableLM
4	py_modules:
5	- executor.py
6	timeout_ready: -1
7	port: 12345

knox / Jina-2.py

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1	from jina import Deployment
2	from executor import StableLM
3
4	dep = Deployment(uses=StableLM, timeout_ready=-1, port=12345)
5
6	with dep:
7	dep.block()

knox / Jina-1.py

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1	from jina import Executor, requests
2	from docarray import DocList, BaseDoc
3	from transformers import pipeline
4
5
6	class Prompt(BaseDoc):
7	text: str
8
9
10	class Generation(BaseDoc):

knox / Jina-1.sh

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1	pip install jina

knox / Aider.sh

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1	python -m pip install -U aider-chat
2
3	# Change directory into a git repo
4	cd /to/your/git/repo
5
6	# Work with Claude 3.5 Sonnet on your repo
7	export ANTHROPIC_API_KEY=your-key-goes-here
8	aider
9
10	# Work with GPT-4o on your repo

knox / AutoGPT.sh

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1	$ ./run
2	Usage: cli.py [OPTIONS] COMMAND [ARGS]...
3
4	Options:
5	--help Show this message and exit.
6
7	Commands:
8	agent Commands to create, start and stop agents
9	benchmark Commands to start the benchmark and list tests and categories
10	setup Installs dependencies needed for your system.

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