mirror of
https://github.com/Monadical-SAS/reflector.git
synced 2025-12-20 20:29:06 +00:00
9fe261406c
* initial * add LLM features * update LLM logic * update llm functions: change control flow * add generation config * update return types * update processors and tests * update rtc_offer * revert new title processor change * fix unit tests * add comments and fix HTTP 500 * adjust prompt * test with reflector app * revert new event for final title * update * move onus onto processors * move onus onto processors * stash * add provision for gen config * dynamically pack the LLM input using context length * tune final summary params * update consolidated class structures * update consolidated class structures * update precommit * add broadcast processors * working baseline * Organize LLMParams * minor fixes * minor fixes * minor fixes * fix unit tests * fix unit tests * fix unit tests * update tests * update tests * edit pipeline response events * update summary return types * configure tests * alembic db migration * change LLM response flow * edit main llm functions * edit main llm functions * change llm name and gen cf * Update transcript_topic_detector.py * PR review comments * checkpoint before db event migration * update DB migration of past events * update DB migration of past events * edit LLM classes * Delete unwanted file * remove List typing * remove List typing * update oobabooga API call * topic enhancements * update UI event handling * move ensure_casing to llm base * update tests * update tests
110 lines
3.1 KiB
Plaintext
110 lines
3.1 KiB
Plaintext
#
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# This file serve as an example of possible configuration
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# All the settings are described here: reflector/settings.py
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#
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## =======================================================
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## Database
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## =======================================================
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#DATABASE_URL=sqlite://./reflector.db
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#DATABASE_URL=postgresql://reflector:reflector@localhost:5432/reflector
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## =======================================================
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## User authentication
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## =======================================================
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## No authentication
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#AUTH_BACKEND=none
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## Using fief (fief.dev)
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#AUTH_BACKEND=fief
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#AUTH_FIEF_URL=https://your-fief-instance....
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#AUTH_FIEF_CLIENT_ID=xxx
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#AUTH_FIEF_CLIENT_SECRET=xxx
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## =======================================================
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## Public mode
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## =======================================================
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## If set to true, anonymous transcripts will be
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## accessible to anybody.
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#PUBLIC_MODE=false
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## =======================================================
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## Transcription backend
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##
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## Check reflector/processors/audio_transcript_* for the
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## full list of available transcription backend
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## =======================================================
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## Using local whisper (default)
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#TRANSCRIPT_BACKEND=whisper
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#WHISPER_MODEL_SIZE=tiny
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## Using serverless modal.com (require reflector-gpu-modal deployed)
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#TRANSCRIPT_BACKEND=modal
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#TRANSCRIPT_URL=https://xxxxx--reflector-transcriber-web.modal.run
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#TRANSCRIPT_MODAL_API_KEY=xxxxx
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## Using serverless banana.dev (require reflector-gpu-banana deployed)
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## XXX this service is buggy do not use at the moment
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## XXX it also require the audio to be saved to S3
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#TRANSCRIPT_BACKEND=banana
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#TRANSCRIPT_URL=https://reflector-gpu-banana-xxxxx.run.banana.dev
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#TRANSCRIPT_BANANA_API_KEY=xxx
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#TRANSCRIPT_BANANA_MODEL_KEY=xxx
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#TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID=xxx
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#TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY=xxx
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#TRANSCRIPT_STORAGE_AWS_BUCKET_NAME="reflector-bucket/chunks"
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## =======================================================
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## LLM backend
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##
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## Check reflector/llm/* for the full list of available
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## llm backend implementation
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## =======================================================
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## Use oobabooga (default)
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#LLM_BACKEND=oobabooga
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#LLM_URL=http://xxx:7860/api/generate/v1
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## Using serverless modal.com (require reflector-gpu-modal deployed)
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#LLM_BACKEND=modal
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#LLM_URL=https://xxxxxx--reflector-llm-web.modal.run
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#LLM_MODAL_API_KEY=xxx
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## Using serverless banana.dev (require reflector-gpu-banana deployed)
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## XXX this service is buggy do not use at the moment
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#LLM_BACKEND=banana
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#LLM_URL=https://reflector-gpu-banana-xxxxx.run.banana.dev
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#LLM_BANANA_API_KEY=xxxxx
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#LLM_BANANA_MODEL_KEY=xxxxx
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## Using OpenAI
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#LLM_BACKEND=openai
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#LLM_OPENAI_KEY=xxx
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#LLM_OPENAI_MODEL=gpt-3.5-turbo
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## Using GPT4ALL
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#LLM_BACKEND=openai
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#LLM_URL=http://localhost:4891/v1/completions
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#LLM_OPENAI_MODEL="GPT4All Falcon"
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## Default LLM MODEL NAME
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DEFAULT_LLM=lmsys/vicuna-13b-v1.5
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## Cache directory to store models
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CACHE_DIR=data
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## =======================================================
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## Sentry
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## =======================================================
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## Sentry DSN configuration
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#SENTRY_DSN=
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