Update README.md

README.md

@@ -10,27 +10,30 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
 
 ## Features
 
-* 3 interface modes: default (two columns), notebook, and chat.
+* Multiple backends for text generation in a single UI and API, including [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), and [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM).
-* Multiple model backends: [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM).
-* Dropdown menu for quickly switching between different models.
-* Large number of extensions (built-in and user-contributed), including Coqui TTS for realistic voice outputs, Whisper STT for voice inputs, translation, [multimodal pipelines](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal), vector databases, Stable Diffusion integration, and a lot more. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
-* [Chat with custom characters](https://github.com/oobabooga/text-generation-webui/wiki/03-%E2%80%90-Parameters-Tab#character).
-* Precise chat templates for instruction-following models, including Llama-2-chat, Alpaca, Vicuna, Mistral.
-* LoRA: train new LoRAs with your own data, load/unload LoRAs on the fly for generation.
-* Transformers library integration: load models in 4-bit or 8-bit precision through bitsandbytes, use llama.cpp with transformers samplers (`llamacpp_HF` loader), CPU inference in 32-bit precision using PyTorch.
 * OpenAI-compatible API server with Chat and Completions endpoints -- see the [examples](https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples).
+* Automatic prompt formatting for each model using the Jinja2 template in its metadata, ensuring high-quality outputs without manual intervention.
+* Three chat modes: `instruct`, `chat-instruct`, and `chat`, allowing for both task-based interactions and casual conversations with characters.
+* High-quality outputs in chat scenarios with the `chat-instruct` mode, which uses the model's template automatically.
+* Easy switching between conversations and starting new ones through the "Past chats" menu in the main interface tab.
+* Flexible text generation through autocompletion in the Default/Notebook tabs without being limited to chat turns. Send formatted chat conversations from the Chat tab to these tabs.
+* Multiple sampling parameters and options for sophisticated text generation control.
+* Quick downloading and loading of new models through the interface without restarting, using the "Model" tab.
+* Simple LoRA fine-tuning tool to customize models with your data.
+* Self-contained dependencies in the `installer_files` folder, avoiding interference with the system's Python environment. Precompiled Python wheels for the backends are in the `requirements.txt` and are transparently compiled using GitHub Actions.
+* Extensions support, including numerous built-in and user-contributed extensions. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details.
 
 ## How to install
 
 1) Clone or [download](https://github.com/oobabooga/text-generation-webui/archive/refs/heads/main.zip) the repository.
 2) Run the `start_linux.sh`, `start_windows.bat`, `start_macos.sh`, or `start_wsl.bat` script depending on your OS.
 3) Select your GPU vendor when asked.
-4) Once the installation ends, browse to `http://localhost:7860/?__theme=dark`.
+4) Once the installation ends, browse to `http://localhost:7860`.
 5) Have fun!
 
-To restart the web UI in the future, just run the `start_` script again. This script creates an `installer_files` folder where it sets up the project's requirements. In case you need to reinstall the requirements, you can simply delete that folder and start the web UI again.
+To restart the web UI in the future, just run the `start_` script again. This script creates an `installer_files` folder where it sets up the project's requirements. If you need to reinstall the requirements, you can simply delete that folder and start the web UI again.
 
-The script accepts command-line flags. Alternatively, you can edit the `CMD_FLAGS.txt` file with a text editor and add your flags there.
+The script accepts command-line flags. Alternatively, you can edit the `CMD_FLAGS.txt` file with a text editor and add your flags there, such as `--api` in case you need to use the API.
 
 To get updates in the future, run `update_wizard_linux.sh`, `update_wizard_windows.bat`, `update_wizard_macos.sh`, or `update_wizard_wsl.bat`.