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0463028bc2
* 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
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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.