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

doc: local build tldr section added

README.md

@@ -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.
 
-- 🗃️ **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.
 
@@ -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.
 
+### 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
 
 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:
 
-
 - 🔄 **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.
 - 🔐 **Access Control**: Securely manage requests to Ollama by utilizing the backend as a reverse proxy gateway, ensuring only authenticated users can send specific requests.

backend/config.py

@@ -6,8 +6,7 @@ from secrets import token_bytes
 from base64 import b64encode
 import os
 
-
+load_dotenv(find_dotenv("../.env"))
-load_dotenv(find_dotenv())
 
 ####################################
 # 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
 
 
 ####################################

example.env

@@ -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'