AdamNovotnyCom
commited on
Commit
•
248a405
1
Parent(s):
338822e
refactor
Browse files- Dockerfile +2 -0
- Dockerfile_dev +24 -0
- README.md +1 -0
- app.py +9 -5
- docker-compose.yml +1 -1
Dockerfile
CHANGED
@@ -18,6 +18,8 @@ COPY --chown=user . /home/user/app
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RUN pip install -r requirements.txt
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EXPOSE 7860
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CMD ["python", "app.py"]
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RUN pip install -r requirements.txt
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RUN --mount=type=secret,id=HF_TOKEN,mode=0444,required=true
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EXPOSE 7860
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CMD ["python", "app.py"]
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Dockerfile_dev
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@@ -0,0 +1,24 @@
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FROM python:3.10
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# Set up a new user named "user" with user ID 1000
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RUN useradd -m -u 1000 user
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# Switch to the "user" user
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USER user
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# Set home to the user's home directory
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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# Set the working directory to the user's home directory
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WORKDIR /home/user/app
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# Copy the current directory contents into the container at $HOME/app setting the owner to the user
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COPY --chown=user . /home/user/app
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RUN pip install -r requirements.txt
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EXPOSE 7860
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# with reload
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CMD ["gradio", "app.py"]
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README.md
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@@ -30,3 +30,4 @@ Exec command
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## References
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- [huggingface.co/llama2](https://huggingface.co/blog/llama2)
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- [demo-docker-gradio](https://huggingface.co/spaces/sayakpaul/demo-docker-gradio/tree/main)
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## References
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- [huggingface.co/llama2](https://huggingface.co/blog/llama2)
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- [demo-docker-gradio](https://huggingface.co/spaces/sayakpaul/demo-docker-gradio/tree/main)
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- [space config reference](https://huggingface.co/docs/hub/spaces-config-reference)
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app.py
CHANGED
@@ -7,15 +7,14 @@ from transformers import AutoTokenizer
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print(os.environ["HF_TOKEN"][:5])
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logging.info(os.environ["HF_TOKEN"][:5])
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pipe_flan = transformers.pipeline("text2text-generation", model="google/flan-t5-small")
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def google_flan(input_text):
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print("New response")
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logging.info("New response")
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return pipe_flan(input_text)
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demo = gr.Interface(fn=google_flan, inputs="text", outputs="text")
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# model = "meta-llama/Llama-2-7b-chat-hf"
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# tokenizer = AutoTokenizer.from_pretrained(
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# model,
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# output_text += seq["generated_text"] + "\n"
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# return output_text
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-
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demo.launch(server_name="0.0.0.0", server_port=7860)
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print(os.environ["HF_TOKEN"][:5])
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logging.info(os.environ["HF_TOKEN"][:5])
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print("New response 2")
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pipe_flan = transformers.pipeline("text2text-generation", model="google/flan-t5-small")
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def google_flan(input_text):
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print("New response 2")
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logging.info("New response 2")
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return pipe_flan(input_text)
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# model = "meta-llama/Llama-2-7b-chat-hf"
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# tokenizer = AutoTokenizer.from_pretrained(
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# model,
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# output_text += seq["generated_text"] + "\n"
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# return output_text
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demo = gr.Interface(
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fn=google_flan,
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inputs="text",
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outputs="text",
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theme=gr.themes.Default(primary_hue="blue", secondary_hue="pink")
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)
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demo.launch(server_name="0.0.0.0", server_port=7860)
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docker-compose.yml
CHANGED
@@ -5,7 +5,7 @@ services:
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image: llama2hf-image
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build:
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context: .
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dockerfile:
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volumes:
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- ./:/home/user/app
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working_dir: /home/user/app
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image: llama2hf-image
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build:
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context: .
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dockerfile: Dockerfile_dev
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volumes:
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- ./:/home/user/app
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working_dir: /home/user/app
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