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* README.md fix documentaion and added fedora liunx dependencies for stream build * fix documentaion and added fedora liunx dependencies for command build * fix documentaion and added fedora liunx dependencies for talk build * fix documentaion and added fedora liunx dependencies for talk-llama build * reverted back mistakenly removed MacOS documentaion
46 lines
1.4 KiB
Markdown
46 lines
1.4 KiB
Markdown
# talk
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Talk with an Artificial Intelligence in your terminal
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[Demo Talk](https://user-images.githubusercontent.com/1991296/206805012-48e71cc2-588d-4745-8798-c1c70ea3b40d.mp4)
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Web version: [examples/talk.wasm](/examples/talk.wasm)
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## Building
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The `talk` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:
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```bash
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# Install SDL2
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# On Debian based linux distributions:
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sudo apt-get install libsdl2-dev
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# On Fedora Linux:
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sudo dnf install SDL2 SDL2-devel
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# Install SDL2 on Mac OS
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brew install sdl2
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# Build the "talk" executable
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make talk
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# Run it
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./talk -p Santa
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```
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## GPT-2
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To run this, you will need a ggml GPT-2 model: [instructions](https://github.com/ggerganov/ggml/tree/master/examples/gpt-2#downloading-and-converting-the-original-models)
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Alternatively, you can simply download the smallest ggml GPT-2 117M model (240 MB) like this:
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```
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wget --quiet --show-progress -O models/ggml-gpt-2-117M.bin https://huggingface.co/ggerganov/ggml/resolve/main/ggml-model-gpt-2-117M.bin
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```
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## TTS
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For best experience, this example needs a TTS tool to convert the generated text responses to voice.
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You can use any TTS engine that you would like - simply edit the [speak](speak) script to your needs.
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By default, it is configured to use MacOS's `say` or `espeak` or Windows SpeechSynthesizer, but you can use whatever you wish.
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