Merge pull request #180 from ollama-webui/doc-update

doc: local build tldr section added
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Timothy Jaeryang Baek 2023-12-05 02:26:56 -05:00 committed by GitHub
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3 changed files with 38 additions and 13 deletions

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@ -35,7 +35,7 @@ Also check our sibling project, [OllamaHub](https://ollamahub.com/), where you c
- 🤖 **Multiple Model Support**: Seamlessly switch between different chat models for diverse interactions. - 🤖 **Multiple Model Support**: Seamlessly switch between different chat models for diverse interactions.
- 🗃️ **Modelfile Builder**: Easily create Ollama modelfiles via the web UI. Create and add your own character to Ollama by customizing system prompts, conversation starters, and more. - 🧩 **Modelfile Builder**: Easily create Ollama modelfiles via the web UI. Create and add characters/agents, customize chat elements, and import modelfiles effortlessly through [OllamaHub](https://ollamahub.com/) integration.
- ⚙️ **Many Models Conversations**: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel. - ⚙️ **Many Models Conversations**: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel.
@ -59,7 +59,7 @@ Also check our sibling project, [OllamaHub](https://ollamahub.com/), where you c
- 🌟 **Continuous Updates**: We are committed to improving Ollama Web UI with regular updates and new features. - 🌟 **Continuous Updates**: We are committed to improving Ollama Web UI with regular updates and new features.
## 🔗 Also Check Out OllamaHub! ## 🔗 Also Check Out OllamaHub!
Don't forget to explore our sibling project, [OllamaHub](https://ollamahub.com/), where you can discover, download, and explore customized Modelfiles. OllamaHub offers a wide range of exciting possibilities for enhancing your chat interactions with Ollama! 🚀 Don't forget to explore our sibling project, [OllamaHub](https://ollamahub.com/), where you can discover, download, and explore customized Modelfiles. OllamaHub offers a wide range of exciting possibilities for enhancing your chat interactions with Ollama! 🚀
@ -121,6 +121,29 @@ docker run -d -p 3000:8080 -e OLLAMA_API_BASE_URL=https://example.com/api --name
While we strongly recommend using our convenient Docker container installation for optimal support, we understand that some situations may require a non-Docker setup, especially for development purposes. Please note that non-Docker installations are not officially supported, and you might need to troubleshoot on your own. While we strongly recommend using our convenient Docker container installation for optimal support, we understand that some situations may require a non-Docker setup, especially for development purposes. Please note that non-Docker installations are not officially supported, and you might need to troubleshoot on your own.
### TL;DR 🚀
Run the following commands to install:
```sh
git clone https://github.com/ollama-webui/ollama-webui.git
cd ollama-webui/
# Copying required .env file
cp -RPp example.env .env
# Building Frontend
npm i
npm run build
# Serving Frontend with the Backend
cd ./backend
pip install -r requirements.txt
sh start.sh
```
You should have the Ollama Web UI up and running at http://localhost:8080/. Enjoy! 😄
### Project Components ### Project Components
The Ollama Web UI consists of two primary components: the frontend and the backend (which serves as a reverse proxy, handling static frontend files, and additional features). Both need to be running concurrently for the development environment using `npm run dev`. Alternatively, you can set the `PUBLIC_API_BASE_URL` during the build process to have the frontend connect directly to your Ollama instance or build the frontend as static files and serve them with the backend. The Ollama Web UI consists of two primary components: the frontend and the backend (which serves as a reverse proxy, handling static frontend files, and additional features). Both need to be running concurrently for the development environment using `npm run dev`. Alternatively, you can set the `PUBLIC_API_BASE_URL` during the build process to have the frontend connect directly to your Ollama instance or build the frontend as static files and serve them with the backend.
@ -211,7 +234,6 @@ See [TROUBLESHOOTING.md](/TROUBLESHOOTING.md) for information on how to troubles
Here are some exciting tasks on our roadmap: Here are some exciting tasks on our roadmap:
- 🔄 **Multi-Modal Support**: Seamlessly engage with models that support multimodal interactions, including images (e.g., LLava). - 🔄 **Multi-Modal Support**: Seamlessly engage with models that support multimodal interactions, including images (e.g., LLava).
- 📚 **RAG Integration**: Experience first-class retrieval augmented generation support, enabling chat with your documents. - 📚 **RAG Integration**: Experience first-class retrieval augmented generation support, enabling chat with your documents.
- 🔐 **Access Control**: Securely manage requests to Ollama by utilizing the backend as a reverse proxy gateway, ensuring only authenticated users can send specific requests. - 🔐 **Access Control**: Securely manage requests to Ollama by utilizing the backend as a reverse proxy gateway, ensuring only authenticated users can send specific requests.

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@ -6,8 +6,7 @@ from secrets import token_bytes
from base64 import b64encode from base64 import b64encode
import os import os
load_dotenv(find_dotenv("../.env"))
load_dotenv(find_dotenv())
#################################### ####################################
# ENV (dev,test,prod) # ENV (dev,test,prod)
@ -38,7 +37,7 @@ WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.21")
#################################### ####################################
WEBUI_AUTH = True if os.environ.get("WEBUI_AUTH", "TRUE") == "TRUE" else False WEBUI_AUTH = True if os.environ.get("WEBUI_AUTH", "FALSE") == "TRUE" else False
#################################### ####################################

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@ -1,8 +1,12 @@
# must be defined, but defaults to 'http://{location.hostname}:11434/api' # If you're serving both the frontend and backend (Recommended)
# can also use path, such as '/api' # Set the public API base URL for seamless communication
PUBLIC_API_BASE_URL='' PUBLIC_API_BASE_URL='/ollama/api'
OLLAMA_API_ID='my-api-token' # If you're serving only the frontend (Not recommended and not fully supported)
OLLAMA_API_TOKEN='xxxxxxxxxxxxxxxx' # Comment above and Uncomment below
# generated by passing the token to `caddy hash-password` # You can use the default value or specify a custom path, e.g., '/api'
OLLAMA_API_TOKEN_DIGEST='$2a$14$iyyuawykR92xTHNR9lWzfu.uCct/9/xUPX3zBqLqrjAu0usNRPbyi' # PUBLIC_API_BASE_URL='http://{location.hostname}:11434/api'
# Ollama URL for the backend to connect
# The path '/ollama/api' will be redirected to the specified backend URL
OLLAMA_API_BASE_URL='http://localhost:11434/api'