fix: readme and generate workflow

Author: abelanger5

README.md

@@ -4,17 +4,13 @@ The following is a template repo to get started with the Hatchet Python SDK. It
 
 ### Cloud Version
 
-Navigate to your settings tab in the Hatchet dashboard. You should see a section called "API Keys". Click "Create API Key", input a name for the key and copy the key. Then set the following environment variables:
+Navigate to your settings tab in the Hatchet dashboard. You should see a section called "API Keys". Click "Create API Key", input a name for the key and copy the key. Then copy the environment variable:
 
 ```
 HATCHET_CLIENT_TOKEN="<token>"
 ```
 
-Then start a worker via:
-
-```
-poetry run python worker.py
-```
+You will need this in the examples.
 
 **Next steps:** see [Running Workflows](#running-workflows) to trigger your first Hatchet workflow.
 
@@ -33,12 +29,14 @@ Email: admin@example.com
 Password: Admin123!!
 ```
 
-Next, navigate to your settings tab in the Hatchet dashboard. You should see a section called "API Keys". Click "Create API Key", input a name for the key and copy the key. Then set the following environment variables:
+Next, navigate to your settings tab in the Hatchet dashboard. You should see a section called "API Keys". Click "Create API Key", input a name for the key and copy the key. Then copy the environment variable:
 
 ```
 HATCHET_CLIENT_TOKEN="<token>"
 ```
 
+You will need this in the examples.
+
 **Next steps:** see [Running Workflows](#running-workflows) to trigger your first Hatchet workflow.
 
 ## Running Workflows

fast-api-react/README.md

@@ -13,9 +13,9 @@ Before running this project, make sure you have the following:
 
 ## Setup
 
-1. Create a `.env` file in the project root directory and set the required environment variables.
+1. Create a `.env` file in the `./backend` directory and set the required environment variables.
 
-This project requires the `HATCHET_CLIENT_TOKEN` variable created in the [Getting Started Readme](/README.md).
+This project requires the `HATCHET_CLIENT_TOKEN` variable created in the [Getting Started README](/README.md).
 
 You will also need, a `OPENAI_API_KEY` which can be created on the [OpenAI Website](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key).
 
@@ -48,6 +48,6 @@ poetry run hatchet
 We've included a basic chat engine frontend to play with the example workflow. To run this script:
 
 1. Open a new terminal window and cd into the `fast-api-react/frontend` directory.
-2. run `npx install`
-3. run `npx start`
+2. run `npm install`
+3. run `npm start`
 4. By default you can access the application in your browser at `http://localhost:3000` or by following the instructions in the terminal window.

fast-api-react/backend/src/workflows/generate.py

@@ -46,7 +46,7 @@ def reason_docs(self, ctx: Context):
 
         prompt = prompt.format(message=message['content'], docs=docs)
 
-        model = ctx.overrides("gpt-3.5-turbo")
+        model = ctx.overrides("model", "gpt-3.5-turbo")
 
         completion = openai.chat.completions.create(
             model=model,
@@ -74,7 +74,7 @@ def generate_response(self, ctx: Context):
 
         prompt = prompt.format(research=research)
 
-        model = ctx.overrides("gpt-3.5-turbo")
+        model = ctx.overrides("model", "gpt-3.5-turbo")
 
         completion = openai.chat.completions.create(
             model=model,