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https://github.com/rishikanthc/Scriberr.git
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d68f07f427
Update the Docker configuration to use environment variables for database connections instead of hardcoded values: - Add POSTGRES_HOST environment variable to make database hostname configurable - Generate DATABASE_URL dynamically in docker-compose.yml using environment variables - Update pg_isready command in entrypoint script to use POSTGRES_HOST variable - Update env.example to reflect these changes and explain the transition This change improves configuration flexibility and makes the deployment more portable across different environments.
55 lines
2.8 KiB
Plaintext
55 lines
2.8 KiB
Plaintext
# .env file
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# Docker image configuration
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IMAGE_TAG=main # Docker image tag to use for building the Docker image
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PORT=3000 # Port to use for running the web interface
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# Database configuration
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POSTGRES_PORT=5432 # Port to use for PostgreSQL database
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POSTGRES_USER=root # Username for PostgreSQL database
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POSTGRES_PASSWORD=mysecretpassword # Password for PostgreSQL database
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POSTGRES_HOST=db # Hostname for PostgreSQL database
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POSTGRES_DB=local # Database name
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# Made using the variables from above. Will be removed in later versions.
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# DATABASE_URL=postgres://root:mysecretpassword@db:5432/local # Database URL for connection to PostgreSQL database with credentials from above
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# Application configuration
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ADMIN_USERNAME=admin # Username for admin user in web interface
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ADMIN_PASSWORD=password # Password for admin user in web interface
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# AI configuration
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# Default Model to use for transcription, can be set to any OpenAI model or Ollama model
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# For ollama connections, enter the model name and version number. EG: llama3.2:latest
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AI_MODEL="gpt-3.5-turbo"
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# Leave blank to use default (OpenAI API), otherwise set to the base URL of your OpenAI API compatible server
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# For ollama connections, enter the IP of the Ollama server, and then the port it is running on.
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# Include the /v1/ or /api/v1/ path if needed (OpenWeb UI uses /api/ and ollama uses /v1/
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# Example: http://192.168.1.5:11434 or http://host.docker.internal:11434
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# NOTE: host.docker.internal is only available on Windows and MacOS, use the IP address of the host machine on Linux
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# NOTE: localhost and 127.0.0.1 will not work, as they refer to the container itself, not the host machine
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OLLAMA_BASE_URL=""
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# API Keys
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# NOTE:
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# If using Ollama, you can leave these blank or set to a dummy value
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# If using OpenAI, you must set these to your API keys
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# If using a custom API compatible server, you must set these to your API keys
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OPENAI_API_KEY="" # Needed for retrieving models from OpenAI, for Ollama connections, this can be left blank or set to a dummy value
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# Diarization configuration
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# Default Model to use for Diarization, can be set to any compatible model that supports diarization
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# NOTE: This model will be downloaded automatically if it is not already present in the models directory
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# NOTE: You MUST provide a valid HuggingFace API token with access to pyannote/speaker-diarization models
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DIARIZATION_MODEL=pyannote/speaker-diarization@3.0
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HUGGINGFACE_TOKEN="" # Required for accessing speaker diarization models from HuggingFace
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# Paths
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# These almost never need to be changed. They are the paths to the directories where the models and audio files are stored
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MODELS_DIR=/scriberr/models
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WORK_DIR=/scriberr/temp
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AUDIO_DIR=/scriberr/uploads
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# Server configuration
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BODY_SIZE_LIMIT=1G
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HARDWARE_ACCEL=cpu # Set to 'gpu' if you have a Nvidia GPU
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USE_WORKER=true # Enable background processing of transcription jobs |