Showcase for indexing jupiter network podcasts using meilisearch. This repository is build in order to provide possible solution to following problems:
DISCLAIMER!
Warning! This is a very dirty version to showcase how indexing/transcription might work.
To build you would need following packages on your system:
- cargo
- pkg-config
- openssl
- ffmpeg
There is a nix flake configured to ship build dependencies
just run direnv allow
and run:
git submodule update --init --recursive
cargo build --release --examples
# if you are using nix os and want to use the binary you should fix the interpreter
patchelf --set-interpreter /usr/lib64/ld-linux-x86-64.so.2 target/release/examples/get_transcript
docker pull getmeili/meilisearch:v0.29
docker run -it --rm \
-p 7700:7700 \
-e MEILI_MASTER_KEY='MASTER_KEY'\
-v $(pwd)/meili_data:/meili_data \
getmeili/meilisearch:v0.29 \
meilisearch --env="development"
cargo run
- Download whisper model
mkdir models
# this might be one of:
# "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large"
model=medium.en
curl --output models/ggml-$model.bin https://ggml.ggerganov.com/ggml-model-whisper-$model.bin
- Download the example audio from rss feed
curl https://feed.jupiter.zone/link/19057/15745245/55bb5263-04be-43a3-8b92-678072a9cfc8.mp3 -L -o action.mp3
-
Install
ffmpeg
and put it onPATH
variable. -
Run the inference example
cargo run --release --example=get_transcript -- models/ggml-medium.en.bin action_short.wav | tee output.txt