https://ermine.ai -- 100% client-side live audio transcription, powered by transformers.js
Home Page: https://ermine-ai.vercel.app
License: MIT License
Record and transcribe audio in-browser using a client-side speech-to-text model. Built using transformers.js and the whisper-tiny.en model.
Is there a plan to add audio upload?
I got this error while setting up the project locally and running it:
$ npm run dev
> [email protected] dev
> next dev
ready - started server on 0.0.0.0:3000, url: http://localhost:3000
(node:17624) ExperimentalWarning: The Fetch API is an experimental feature. This feature could change at any time
(Use `node --trace-warnings ...` to show where the warning was created)
event - compiled client and server successfully in 2.5s (176 modules)
wait - compiling /_error (client and server)...
event - compiled client and server successfully in 165 ms (177 modules)
wait - compiling / (client and server)...
error - ./node_modules/onnxruntime-node/bin/napi-v3/darwin/arm64/onnxruntime_binding.node
Module parse failed: Unexpected character '�' (1:0)
You may need an appropriate loader to handle this file type, currently no loaders are configured to process this file. See https://webpack.js.org/concepts#loaders
(Source code omitted for this binary file)
Import trace for requested module:
./node_modules/onnxruntime-node/bin/napi-v3/darwin/arm64/onnxruntime_binding.node
./node_modules/onnxruntime-node/bin/napi-v3/ sync ^\.\/.*\/.*\/onnxruntime_binding\.node$
./node_modules/onnxruntime-node/dist/binding.js
./node_modules/onnxruntime-node/dist/backend.js
./node_modules/onnxruntime-node/dist/index.js
./node_modules/@xenova/transformers/src/backends/onnx.js
./node_modules/@xenova/transformers/src/models.js
./node_modules/@xenova/transformers/src/transformers.js
./src/whisper-worker.js
./src/whisper.js
Can live transcription be added? It should transcribe as we speak. That would be cool.
Is it possible to load some arbitrary model? For example, the base model?
Hi! Just wanted to know if other language like french will be supported in the future ?
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