whisper.cpp/examples/talk-llama
2023-03-29 23:01:14 +03:00
..
prompts talk-llama : add alpaca support (#668) 2023-03-29 23:01:14 +03:00
.gitignore talk-llama : add new example + sync ggml from llama.cpp (#664) 2023-03-27 21:00:32 +03:00
CMakeLists.txt talk-llama : try to fix windows build .. 2023-03-27 22:40:59 +03:00
llama.cpp talk-llama : add new example + sync ggml from llama.cpp (#664) 2023-03-27 21:00:32 +03:00
llama.h talk-llama : add new example + sync ggml from llama.cpp (#664) 2023-03-27 21:00:32 +03:00
README.md talk-llama : add discussion link 2023-03-28 10:11:34 +03:00
speak.sh talk-llama : add new example + sync ggml from llama.cpp (#664) 2023-03-27 21:00:32 +03:00
talk-llama.cpp talk-llama : add alpaca support (#668) 2023-03-29 23:01:14 +03:00

talk-llama

Talk with an LLaMA AI in your terminal

Demo Talk

Building

The talk-llama 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-llama" executable
make talk-llama

# Run it
./talk-llama -mw ./models/ggml-small.en.bin -ml ../llama.cpp/models/13B/ggml-model-q4_0.bin -p "Georgi" -t 8
  • The -mw argument specifies the Whisper model that you would like to use. Recommended base or small for real-time experience
  • The -ml argument specifies the LLaMA model that you would like to use. Read the instructions in https://github.com/ggerganov/llama.cpp for information about how to obtain a ggml compatible LLaMA model

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.sh script to your needs. By default, it is configured to use MacOS's say, but you can use whatever you wish.

Discussion

If you have any feedback, please let "us" know in the following discussion: https://github.com/ggerganov/whisper.cpp/discussions/672?converting=1