ChatGPT plus, Open AI, API

---

You said:

Good evening.

ChatGPT said:

ChatGPT

Good evening, Jeff! How's your day been?

4o

You said:

Well, it's not evening here. It's not even one o'clock in the afternoon.

ChatGPT said:

ChatGPT

Ah, you're right—San Diego time! Good afternoon, Jeff. How’s your day going so far?

4o

You said:

It's good. You know, I was just using chat to help me with my responses to make them a little bit more supportive in the classroom, but I ran out, I ran up, I guess, to the limit of my chat usage, and I have the opportunity to upgrade to chat plus, but even chat plus has limitations. Like, if I'm going to do at least 80 responses in a week plus use chat for my own research and create and mark up images, is chat plus going to allow me to do all of that?

ChatGPT said:

ChatGPT

It sounds like you're putting ChatGPT to great use in your teaching and research! With ChatGPT Plus, you get access to GPT-4, which is more advanced and better for nuanced responses and creative tasks, but it does have a cap of fifty messages every three hours. If you're doing over eighty responses a week and using it heavily for image creation and research, you might still bump into those limits.

If you're finding the current cap restrictive, you could consider spreading your usage throughout the day to stay within the limits. Alternatively, for high-volume use, you might want to look into OpenAI’s API, which lets you pay based on usage and doesn't have those time-based caps. Would you like me to explain how that works?

4o

You said:

Yes.

ChatGPT said:

ChatGPT

With OpenAI’s API, you have more flexibility because you’re charged based on how much you use, rather than being limited by a fixed number of messages in a set time frame. Here's how it works:

1. Pricing: You pay per token, which are chunks of text (like words). GPT-4 is more expensive than GPT-3.5, but you can choose between models depending on the complexity of the task. For example, GPT-4 (turbo) is cheaper than the full GPT-4 model.

2. No Time-Based Caps: Unlike ChatGPT Plus, the API doesn’t limit you to a certain number of messages every three hours. You can make as many calls as you need, provided your usage stays within your budget.

3. Customization: You can fine-tune requests for your classroom needs, generate images via DALL·E, or create your own workflows for tasks like research, image markup, or even automated grading.

4. Implementation: You’ll need a little technical setup, such as integrating the API with a platform you use (or just using basic scripts if you’re comfortable with that).

Would this kind of usage align with what you’re doing? If you’re not familiar with APIs, I can guide you on how to get started!

4o

You said:

Yeah, I wouldn't mind using that. Would it let me know how much it was charging me every time I used it so I could keep a running tally? And then if you could tell me how I would implement that, that would be great.

ChatGPT said:

ChatGPT

Yes, the API does provide transparency with usage costs! OpenAI’s API includes a dashboard where you can track your usage and costs in real time. Each request logs the number of tokens used and the corresponding cost, so you can keep a running tally without any surprises. Here’s how you can implement it:

Step 1: Set Up Your OpenAI API Account

• Sign up for API access at OpenAI's website.

• Add a payment method and set a spending limit to ensure you don’t exceed your budget.

Step 2: Track Usage

• Use the usage dashboard in your OpenAI account to monitor how many tokens you’ve used and the associated costs.

• You can also log usage programmatically in your own app or script for detailed tracking.

Step 3: Get Started with Basic Integration

1. Install Required Tools:

   • Use Python or another programming language. For Python:

     • Install the OpenAI library: pip install openai.

2. Write a Simple Script:

   • Create a script to send your prompts to the API and get responses. For example:

     python

     Copy code

     import openai openai.api_key = "your-api-key-here" response = openai.ChatCompletion.create( model="gpt-4-turbo", # or another model messages=[{"role": "user", "content": "Your prompt here"}] ) print(response['choices'][0]['message']['content']) print(f"Tokens used: {response['usage']['total_tokens']}")

   • This script will show the response and how many tokens were used.

3. For Image Creation:

   • Use the DALL·E API for images. Example:

     python

     Copy code

     dalle_response = openai.Image.create( prompt="A scenic mountain landscape with a sunrise", n=1, size="1024x1024" ) print(dalle_response['data'][0]['url'])

Step 4: Set Up Automations

• If you’re responding to students or marking up images, you can build templates or integrate the API into tools like Google Sheets, Notion, or your LMS (Learning Management System).

Step 5: Real-Time Usage Notifications (Optional)

• Use tools like Zapier or custom scripts to send alerts when you approach a certain spending threshold.

Let me know if you’d like me to walk you through any of these steps or provide more specific guidance!

4o

You said:

All right, I'll get back to you later. All right, thank you.

ChatGPT said:

ChatGPT

You're welcome, Jeff! Just let me know when you're ready to dive in. Have a great rest of your day!

4o

You said:

Where do I install this Python script? In a browser window? In a terminal? In OpenAI somewhere? API? I'm not sure where I'm supposed to put this Python scripting language.

ChatGPT said:

ChatGPT

Good question, Jeff! Python scripts aren’t run in a browser or directly in OpenAI’s interface. They’re executed on your computer or a server, and here’s how you can set things up:

Where to Run Python Scripts

You’ll use a terminal (or command prompt) on your computer. If you don’t have Python installed, you’ll need to set it up first.

Step-by-Step Guide

1. Install Python (if you don’t have it already):

   • Go to python.org and download the latest version for your operating system.

   • During installation, check the box to "Add Python to PATH" for easy access.

2. Install a Code Editor (optional but helpful):

   • Use an editor like VS Code or even a simple text editor to write your scripts.

3. Install the OpenAI Python Library:

   • Open your terminal (or command prompt) and type:

     Copy code

     pip install openai

4. Write Your Script:

   • Save the Python script as a .py file. For example, you might create a file called my_chatbot.py and copy the example code I shared into it.

5. Run Your Script:

   • Navigate to the folder where your script is saved using the terminal. For example:

     bash

     Copy code

     cd path/to/your/script

   • Then run the script:

     Copy code

     python my_chatbot.py

6. Check the Output:

   • If everything’s set up correctly, you’ll see the responses and token usage printed in your terminal.

Alternative: Use a Web-Based Environment

If you don’t want to set up Python locally, you can use an online environment like:

• Google Colab (colab.research.google.com): A free tool where you can write and run Python scripts in your browser.

• Replit (replit.com): Another browser-based coding environment.

Let me know if you’d like help with any part of the setup!