Rough Python translation of openai-assistants-quickstart Typescript repo

Author: chriscarrollsmith

.gitignore

@@ -1,38 +1,4 @@
-# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
-
-# dependencies
-/node_modules
-/.pnp
-.pnp.js
-.yarn/install-state.gz
-
-# testing
-/coverage
-
-# next.js
-/.next/
-/out/
-
-# production
-/build
-
-# misc
-.DS_Store
-*.pem
-
-# debug
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-
 # local env files
 .env*.local
 .env
-
-# vercel
-.vercel
-
-# typescript
-*.tsbuildinfo
-next-env.d.ts
-openai-v4.29.0-beta.1.tgz
+.venv

.python-version

@@ -0,0 +1 @@
+3.12

LICENSE

@@ -1,53 +1,38 @@
-# OpenAI Assistants API Quickstart
+# OpenAI Assistants API Quickstart with Python, Jinja2, and FastAPI
 
-A quick-start template using the OpenAI [Assistants API](https://platform.openai.com/docs/assistants/overview) with [Next.js](https://nextjs.org/docs).
-<br/>
-<br/>
-![OpenAI Assistants API Quickstart](https://github.com/openai/openai-assistants-quickstart/assets/27232/755e85e9-3ea4-421f-b202-3b0c435ea270)
+A quick-start template using the OpenAI [Assistants API](https://platform.openai.com/docs/assistants/overview) with [Python](https://www.python.org/), [Jinja2](https://jinja.palletsprojects.com/en/3.1.x/), and [FastAPI](https://fastapi.tiangolo.com/).
 
 ## Quickstart Setup
 
 ### 1. Clone repo
 
 ```shell
-git clone https://github.com/openai/openai-assistants-quickstart.git
-cd openai-assistants-quickstart
+git clone https://github.com/chriscarrollsmith/openai-assistants-python-quickstart.git
+cd openai-assistants-python-quickstart
 ```
 
 ### 2. Set your [OpenAI API key](https://platform.openai.com/api-keys)
 
 ```shell
-export OPENAI_API_KEY="sk_..."
+cp .env.example .env
 ```
 
-(or in `.env.example` and rename it to `.env`).
-
 ### 3. Install dependencies
 
 ```shell
-npm install
+uv install -r pyproject.toml
 ```
 
 ### 4. Run
 
 ```shell
-npm run dev
+uv run uvicorn main:app --host 0.0.0.0 --port 8000 --reload
 ```
 
 ### 5. Navigate to [http://localhost:3000](http://localhost:3000).
 
-## Deployment
-
-You can deploy this project to Vercel or any other platform that supports Next.js.
-
-[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fopenai%2Fopenai-assistants-quickstart&env=OPENAI_API_KEY,OPENAI_ASSISTANT_ID&envDescription=API%20Keys%20and%20Instructions&envLink=https%3A%2F%2Fgithub.com%2Fopenai%2Fopenai-assistants-quickstart%2Fblob%2Fmain%2F.env.example)
-
 ## Overview
 
-This project is intended to serve as a template for using the Assistants API in Next.js with [streaming](https://platform.openai.com/docs/assistants/overview/step-4-create-a-run), tool use ([code interpreter](https://platform.openai.com/docs/assistants/tools/code-interpreter) and [file search](https://platform.openai.com/docs/assistants/tools/file-search)), and [function calling](https://platform.openai.com/docs/assistants/tools/function-calling). While there are multiple pages to demonstrate each of these capabilities, they all use the same underlying assistant with all capabilities enabled.
-
-The main logic for chat will be found in the `Chat` component in `app/components/chat.tsx`, and the handlers starting with `api/assistants/threads` (found in `api/assistants/threads/...`). Feel free to start your own project and copy some of this logic in! The `Chat` component itself can be copied and used directly, provided you copy the styling from `app/components/chat.module.css` as well.
-
 ### Pages
 
 - Basic Chat Example: [http://localhost:3000/examples/basic-chat](http://localhost:3000/examples/basic-chat)
@@ -57,8 +42,8 @@ The main logic for chat will be found in the `Chat` component in `app/components
 
 ### Main Components
 
-- `app/components/chat.tsx` - handles chat rendering, [streaming](https://platform.openai.com/docs/assistants/overview?context=with-streaming), and [function call](https://platform.openai.com/docs/assistants/tools/function-calling/quickstart?context=streaming&lang=node.js) forwarding
-- `app/components/file-viewer.tsx` - handles uploading, fetching, and deleting files for [file search](https://platform.openai.com/docs/assistants/tools/file-search)
+- `templates/components/chat.html` - handles chat rendering, [streaming](https://platform.openai.com/docs/assistants/overview?context=with-streaming), and [function call](https://platform.openai.com/docs/assistants/tools/function-calling/quickstart?context=streaming&lang=node.js) forwarding
+- `templates/components/file-viewer.html` - handles uploading, fetching, and deleting files for [file search](https://platform.openai.com/docs/assistants/tools/file-search)
 
 ### Endpoints