whisper.cpp/examples/talk
Mohammadreza Hendiani 04e48094e4
readme : add Fedora dependencies (#1970)
* 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
2024-03-20 18:42:11 +02:00
..
.gitignore talk, talk-llama : pass text_to_speak as a file (#1865) 2024-02-24 09:24:47 +02:00
CMakeLists.txt whisper : add integer quantization support (#540) 2023-04-30 18:51:57 +03:00
eleven-labs.py talk, talk-llama : pass text_to_speak as a file (#1865) 2024-02-24 09:24:47 +02:00
gpt-2.cpp sync : ggml (ggml_scale, ggml_row_size, etc.) (#1677) 2023-12-22 17:53:39 +02:00
gpt-2.h whisper : add integer quantization support (#540) 2023-04-30 18:51:57 +03:00
README.md readme : add Fedora dependencies (#1970) 2024-03-20 18:42:11 +02:00
speak talk, talk-llama : pass text_to_speak as a file (#1865) 2024-02-24 09:24:47 +02:00
speak.bat speak scripts for Windows 2023-06-01 22:45:00 +10:00
speak.ps1 talk, talk-llama : pass text_to_speak as a file (#1865) 2024-02-24 09:24:47 +02:00
talk.cpp talk, talk-llama : pass text_to_speak as a file (#1865) 2024-02-24 09:24:47 +02:00

talk

Talk with an Artificial Intelligence in your terminal

Demo Talk

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 Debian based linux distributions:
sudo apt-get install libsdl2-dev

# On Fedora Linux:
sudo dnf install SDL2 SDL2-devel

# 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.