Fix and improve the documentation by providing more relevant and illustrative examples.

README.md

@@ -34,12 +34,21 @@ Note that it is probably possible to run the project on other GPUs or modern Mac
 
 ## How to launch the server
 
-Choose the models you wish to use in the docker-compose.yaml file and change the API token in the .env file as follows:
+Choose the models you wish to use in the docker-compose.yaml file.
+
+```
+environment:
+      - MODELS=....
+```
+
+Add an API key to secure server access by adding a `.env` file like this:
+
 ```
 LLM_API_KEY=1234567890
 ```
 
 Next, start the servers and their configuration with Docker Compose:
+
 ```bash
 docker compose up --build -d
 ```
@@ -50,54 +59,55 @@ The `setup_desktop.sh` script allows for copying a compiled static version of [A
 
 ### AIChat essentials
 
-To launch a chatbot while maintaining context:
+A request to populate a demo database:
 ```bash
-aichat -m ollama:qwen2.5 -s
+aichat "10 fictitious identities with username, firstname, lastname and email then display in json format. The data must be realistic, especially from known email domains."
 ```
 
-With a prompt:
+Request a snippet of code:
+```
+aichat -m ollama:qwen2.5-coder:32b -c "if a docker image exist in bash"
+```
+
+To launch a chatbot while maintaining context:
 ```bash
-aichat -m ollama:qwen2.5 --prompt "I want you to act as an English translator, spelling corrector and improver. I will speak to you in any language and you will detect the language, translate it and answer in the corrected and improved version of my text, in English. I want you to only reply the correction, the improvements and nothing else, do not write explanations."
+aichat -s
 ```
 
 Pipe a command and transform the result with the LLM:
 ```
-ls | aichat -m ollama:qwen2.5 --prompt "transform to json"
+ps aux | aichat 'which process use the most memory'
+```
+
+Using roles:
+```
+aichat -r short "tcp port of mysql"
 ```
 
 Go to the [AIChat](https://github.com/sigoden/aichat) website for other possible use cases.
 
-### Text To Speech
+### Text To Speech & Speech To Text
 
-To use text-to-speech, use the script in the `tools/tts.sh` file.
+For these two features, use the speech.sh script like this:
 
-Example:
 ```
-./tools/tts.sh -l french -v pierre --play "Aujourd'hui, nous sommes le $(date +%A\ %d\ %B\ %Y)."
-```
-
-### Speech To Text
-
-For the Speech to Text functionality, use `tools/stt.sh`.
-The function record allows you to use PulseAudio to record the computer's audio (for example, a video in the browser).
-The transcription function converts the audio file into text.
-
-Example:
-```bash
-./tools/stt.sh record -s alsa_output.pci-0000_00_1f.3-platform-skl_hda_dsp_generic.HiFi__Speaker__sink.monitor
-./tools/stt.sh transcription -f record_20250112_125726.wav -l fr
+./speech.sh synthesize --play --lang fr --voice pierre "Bonjour, aujourd'hui nous somme le $(date +%A\ %d\ %B\ %Y)."
+./speech.sh transcript --lang fr --filename speech.wav
 ```
 
 ## How to Use Remotely
 
 The API authentication via Nginx allows you to open the API on the internet and use it remotely.
+
 By adding a reverse proxy like Caddy in front of it, you can also add TLS encryption. 
+
 This way, you can securely use this environment remotely.
 
 To use script tools in a remote context, use the environment variables TTS_API_HOST and STT_API_HOST and modify AIChat config (~/.config/aichat/config.yaml) .
 
 Example:
 ```
-TTS_API_HOST="https://your-remote-domain" ./tools/tts.sh -l french -v pierre --play "Aujourd'hui, nous sommes le $(date +%A\ %d\ %B\ %Y)."
-STT_API_HOST="https://your-remote-domain" ./tools/stt.sh transcription -f speech_20250112_124805.wav -l fr
+export TTS_API_HOST="https://your-remote-domain"
+export STT_API_HOST="https://your-remote-domain"
+./tools/speech.sh ... 
 ```