mirror of https://github.com/arc53/DocsGPT
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101 lines
3.2 KiB
Bash
101 lines
3.2 KiB
Bash
#!/bin/bash
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# Function to prompt the user for their choice
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prompt_user() {
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echo "Do you want to:"
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echo "1. Use DocsGPT public API (simple and free)"
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echo "2. Download the language model locally (12GB)"
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echo "3. Use the OpenAI API (requires an API key)"
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read -p "Enter your choice (1, 2 or 3): " choice
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}
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# Function to handle the choice to download the model locally
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download_locally() {
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echo "LLM_NAME=llama.cpp" > .env
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echo "VITE_API_STREAMING=true" >> .env
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echo "EMBEDDINGS_NAME=huggingface_sentence-transformers/all-mpnet-base-v2" >> .env
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echo "The .env file has been created with LLM_NAME set to llama.cpp."
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# Creating the directory if it does not exist
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mkdir -p models
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# Downloading the model to the specific directory
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echo "Downloading the model..."
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# check if docsgpt-7b-f16.gguf does not exist
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if [ ! -f models/docsgpt-7b-f16.gguf ]; then
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echo "Downloading the model..."
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wget -P models https://d3dg1063dc54p9.cloudfront.net/models/docsgpt-7b-f16.gguf
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echo "Model downloaded to models directory."
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else
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echo "Model already exists."
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fi
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docker-compose -f docker-compose-local.yaml build && docker-compose -f docker-compose-local.yaml up -d
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#python -m venv venv
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#source venv/bin/activate
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pip install -r application/requirements.txt
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pip install llama-cpp-python
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pip install sentence-transformers
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export LLM_NAME=llama.cpp
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export EMBEDDINGS_NAME=huggingface_sentence-transformers/all-mpnet-base-v2
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export FLASK_APP=application/app.py
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export FLASK_DEBUG=true
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export CELERY_BROKER_URL=redis://localhost:6379/0
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export CELERY_RESULT_BACKEND=redis://localhost:6379/1
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echo "The application is now running on http://localhost:5173"
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echo "You can stop the application by running the following command:"
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echo "Ctrl + C and then"
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echo "Then pkill -f 'flask run' and then"
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echo "docker-compose down"
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flask run --host=0.0.0.0 --port=7091 &
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celery -A application.app.celery worker -l INFO
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}
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# Function to handle the choice to use the OpenAI API
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use_openai() {
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read -p "Please enter your OpenAI API key: " api_key
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echo "API_KEY=$api_key" > .env
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echo "LLM_NAME=openai" >> .env
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echo "VITE_API_STREAMING=true" >> .env
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echo "The .env file has been created with API_KEY set to your provided key."
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docker-compose build && docker-compose up -d
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echo "The application will run on http://localhost:5173"
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echo "You can stop the application by running the following command:"
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echo "docker-compose down"
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}
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use_docsgpt() {
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echo "LLM_NAME=docsgpt" > .env
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echo "VITE_API_STREAMING=true" >> .env
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echo "The .env file has been created with API_KEY set to your provided key."
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docker-compose build && docker-compose up -d
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echo "The application will run on http://localhost:5173"
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echo "You can stop the application by running the following command:"
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echo "docker-compose down"
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}
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# Prompt the user for their choice
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prompt_user
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# Handle the user's choice
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case $choice in
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1)
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use_docsgpt
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;;
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2)
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download_locally
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;;
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3)
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use_openai
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;;
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*)
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echo "Invalid choice. Please choose either 1 or 2."
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;;
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esac
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