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Ashpreet Bedi
2023-12-14 15:53:30 +00:00
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README.md
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@@ -152,13 +152,13 @@ Let's build a **RAG LLM App** with GPT-4. We'll use:
### Create your codebase
Create your codebase using the `llm-app` template pre-configured with FastApi, Streamlit and PgVector. Use this codebase as a starting point for your LLM product.
Create your codebase using the `llm-app` template pre-configured with FastApi, Streamlit and PgVector.
```shell
phi ws create -t llm-app -n llm-app
```
This will create a folder named `llm-app`
This will create a folder named `llm-app` in the current directory.
### Serve your LLM App using Streamlit
@@ -168,9 +168,9 @@ This will create a folder named `llm-app`
phi ws up --group app
```
**Press Enter** to confirm and give a few minutes for the image to download (only the first time). Verify container status and view logs on the docker dashboard.
**Press Enter** to confirm and give a few minutes for the image to download.
### Example: Chat with PDFs
### Chat with PDFs
- Open <a href="http://localhost:8501" target="_blank" rel="noopener noreferrer">localhost:8501</a> to view streamlit apps that you can customize and make your own.
- Click on **Chat with PDFs** in the sidebar