Update README.md

README.md

@@ -1,33 +1,37 @@
-![Weacle Speed Example](https://weacle.nyc3.cdn.digitaloceanspaces.com/static/github/weacle-speed-example-1.webp)
+![Weacle Speed Example](https://weacle.nyc3.cdn.digitaloceanspaces.com/static/github/weacle-speed-example-2-1500x921.webp)
 
 # Weacle Speed
 
-An open-source AI app to help you code faster.
+An open-source AI powered app to help code faster.
 Ask an LLM to do some work with your files. 
 
 1. Select the files and directories to include in your prompt.
-2. Write the prompt.
+2. Write a prompt.
 
 ## Get started
 
 1. Download the project
 2. At the root of the repo, create an `.env` file with the following variables and specify the desired ports:
 ```
 SERVER_PORT=4300
+SERVER_WATCHER_PORT=4302
 VITE_CLIENT_PORT=4301
 VITE_SERVER_PORT=4300
 ```
 In `speed/server/node`, create an `.env` file with the following variables:
 ```
-OPENAI_API_KEY
 ANTHROPIC_API_KEY
+MONGODB_URI
+OPENAI_API_KEY
+PINECONE_API_KEY
+PINECONE_INDEX_NAME
 ```
 3. Start the client by running the command `yarn dev-client`
-4. Start the server with `yarn dev-server`
-5. Open the client page in your browser and set the system prompt. Learn more in the System Prompt section.
-6. Add the project directory path, press `enter`.
-7. In the settings, specify the files and paths to include and exclude.
-8. The directory panel should list folders and files. Select the ones you want to include in the prompt.
+4. Start the server with `yarn dev-server`, and the watcher with `yarn dev-watcher`
+5. Open the client page in your browser and create a new project.
+6. Set the system prompt. Learn more in the System Prompt section.
+7. In the settings, specify the files and paths to include or exclude. You can initiate file indexing from the settings, it will be used for the file search.
+8. The directory panel should list the project folders and files. Select the ones you want to include in the prompt.
 9. Type your prompt, send it, enjoy!
 
 ## Example of system prompt
@@ -56,12 +60,11 @@ The client code uses react, nextjs, zod in typescript.
 ## Tech Stack
 The project uses:
 - Yarn 4 ([how to install](https://yarnpkg.com/getting-started/install))
-- Node server, ViteJs + React
+- NodeJs, ViteJs, React
+- MongoDB, Pinecone, OpenAI, Anthropics API
 
 ## About the models used
-Models used are `claude-3-5-sonnet-20240620`(default), `gpt-4o-2024-08-06` and `gpt-4o-mini`.
-The temperature is 0.
-Max token is 4096.
+Models used are `claude-3-5-sonnet`(default), `gpt-4o` and `gpt-4o-mini`.
 
 ## Author
 • Carl Brenner [@carlbrn](https://github.com/carlbrn)