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* whisper : check state->ctx_metal not null * whisper : add whisper_context_params { use_gpu } * whisper : new API with params & deprecate old API * examples : use no-gpu param && whisper_init_from_file_with_params * whisper.objc : enable metal & disable on simulator * whisper.swiftui, metal : enable metal & support load default.metallib * whisper.android : use new API * bindings : use new API * addon.node : fix build & test * bindings : updata java binding * bindings : add missing whisper_context_default_params_by_ref WHISPER_API for java * metal : use SWIFTPM_MODULE_BUNDLE for GGML_SWIFT and reuse library load * metal : move bundle var into block * metal : use SWIFT_PACKAGE instead of GGML_SWIFT * style : minor updates --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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.gitignore | ||
CMakeLists.txt | ||
eleven-labs.py | ||
gpt-2.cpp | ||
gpt-2.h | ||
README.md | ||
speak | ||
speak.bat | ||
speak.ps1 | ||
talk.cpp |
talk
Talk with an Artificial Intelligence in your terminal
Web version: examples/talk.wasm
Building
The talk
tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
# Install SDL2 on Linux
sudo apt-get install libsdl2-dev
# Install SDL2 on Mac OS
brew install sdl2
# Build the "talk" executable
make talk
# Run it
./talk -p Santa
GPT-2
To run this, you will need a ggml GPT-2 model: instructions
Alternatively, you can simply download the smallest ggml GPT-2 117M model (240 MB) like this:
wget --quiet --show-progress -O models/ggml-gpt-2-117M.bin https://huggingface.co/ggerganov/ggml/resolve/main/ggml-model-gpt-2-117M.bin
TTS
For best experience, this example needs a TTS tool to convert the generated text responses to voice.
You can use any TTS engine that you would like - simply edit the speak script to your needs.
By default, it is configured to use MacOS's say
or espeak
or Windows SpeechSynthesizer, but you can use whatever you wish.