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Merge pull request #180 from ollama-webui/doc-update
doc: local build tldr section added
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README.md
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README.md
@ -35,7 +35,7 @@ Also check our sibling project, [OllamaHub](https://ollamahub.com/), where you c
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- 🤖 **Multiple Model Support**: Seamlessly switch between different chat models for diverse interactions.
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- 🤖 **Multiple Model Support**: Seamlessly switch between different chat models for diverse interactions.
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- 🗃️ **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.
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- 🧩 **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.
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- ⚙️ **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.
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- ⚙️ **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.
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@ -59,7 +59,7 @@ Also check our sibling project, [OllamaHub](https://ollamahub.com/), where you c
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- 🌟 **Continuous Updates**: We are committed to improving Ollama Web UI with regular updates and new features.
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- 🌟 **Continuous Updates**: We are committed to improving Ollama Web UI with regular updates and new features.
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## 🔗 Also Check Out OllamaHub!
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## 🔗 Also Check Out OllamaHub!
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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! 🚀
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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! 🚀
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@ -121,6 +121,29 @@ docker run -d -p 3000:8080 -e OLLAMA_API_BASE_URL=https://example.com/api --name
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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.
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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.
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### TL;DR 🚀
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Run the following commands to install:
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```sh
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git clone https://github.com/ollama-webui/ollama-webui.git
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cd ollama-webui/
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# Copying required .env file
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cp -RPp example.env .env
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# Building Frontend
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npm i
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npm run build
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# Serving Frontend with the Backend
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cd ./backend
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pip install -r requirements.txt
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sh start.sh
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```
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You should have the Ollama Web UI up and running at http://localhost:8080/. Enjoy! 😄
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### Project Components
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### Project Components
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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.
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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.
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@ -211,7 +234,6 @@ See [TROUBLESHOOTING.md](/TROUBLESHOOTING.md) for information on how to troubles
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Here are some exciting tasks on our roadmap:
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Here are some exciting tasks on our roadmap:
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- 🔄 **Multi-Modal Support**: Seamlessly engage with models that support multimodal interactions, including images (e.g., LLava).
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- 🔄 **Multi-Modal Support**: Seamlessly engage with models that support multimodal interactions, including images (e.g., LLava).
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- 📚 **RAG Integration**: Experience first-class retrieval augmented generation support, enabling chat with your documents.
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- 📚 **RAG Integration**: Experience first-class retrieval augmented generation support, enabling chat with your documents.
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- 🔐 **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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- 🔐 **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
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from base64 import b64encode
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from base64 import b64encode
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import os
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import os
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load_dotenv(find_dotenv("../.env"))
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load_dotenv(find_dotenv())
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####################################
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####################################
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# ENV (dev,test,prod)
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# ENV (dev,test,prod)
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@ -38,7 +37,7 @@ WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.21")
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####################################
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####################################
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WEBUI_AUTH = True if os.environ.get("WEBUI_AUTH", "TRUE") == "TRUE" else False
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WEBUI_AUTH = True if os.environ.get("WEBUI_AUTH", "FALSE") == "TRUE" else False
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####################################
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####################################
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example.env
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example.env
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# must be defined, but defaults to 'http://{location.hostname}:11434/api'
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# If you're serving both the frontend and backend (Recommended)
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# can also use path, such as '/api'
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# Set the public API base URL for seamless communication
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PUBLIC_API_BASE_URL=''
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PUBLIC_API_BASE_URL='/ollama/api'
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OLLAMA_API_ID='my-api-token'
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# If you're serving only the frontend (Not recommended and not fully supported)
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OLLAMA_API_TOKEN='xxxxxxxxxxxxxxxx'
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# Comment above and Uncomment below
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# generated by passing the token to `caddy hash-password`
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# You can use the default value or specify a custom path, e.g., '/api'
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OLLAMA_API_TOKEN_DIGEST='$2a$14$iyyuawykR92xTHNR9lWzfu.uCct/9/xUPX3zBqLqrjAu0usNRPbyi'
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# PUBLIC_API_BASE_URL='http://{location.hostname}:11434/api'
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# Ollama URL for the backend to connect
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# The path '/ollama/api' will be redirected to the specified backend URL
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OLLAMA_API_BASE_URL='http://localhost:11434/api'
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