Connecting Real-Time Web Data to Azure OpenAI Models

Question

As a non-technical person, I've been using Azure OpenAi models like gpt-3.5 and gpt-4 by Curl API from Azure OpenAI Studio. However, I would like to connect real-time web access to these models and then use these models with only Curl API. I believe this could be achieved by connecting a web scraper with these models in Prompt Flow(may be), but I'm unsure of the best way to do this and if there's any documentation available.

Note that: I just know only basic Python and Curl API Connector.

My main goal is to use Azure OpenAI Models with web-access by only Curl. How can I do this?

Answer 1

@Zamad Shakil

Thanks for reaching out to us, it seems your goal is connecting real-time web data to Azure OpenAI models using cURL.

This can be achieved by using a web scraping tool, an API to get the data, and then processing this data through Azure OpenAI models.

I can provide a high-level overview of the steps you might take, please review it and make changes as your requirement.

1. Web Scraping: Use a Python library like Beautiful Soup or Scrapy to scrape data from the web. This will involve writing a script to access a webpage, extract the relevant information, and then save this information in a format that can be used by the OpenAI models.
2. Process Data through Azure OpenAI Models: Once you've obtained the data, you can use cURL to send a POST request to the OpenAI API, which will process the data through the desired model. You will need to format your request according to the OpenAI API documentation. Here's a basic example of how you might send a request to the OpenAI API using cURL: Example as below -

curl -H "Authorization: Bearer YOUR_OPENAI_KEY" \  
     -H "Content-Type: application/json" \  
     -d '{"model": "text-davinci-002", "prompt": "YOUR_PROMPT", "max_tokens": 60}' \  
     https://api.openai.com/v1/engines/davinci-codex/completions  

In this example, YOUR_OPENAI_KEY is your OpenAI API key, YOUR_PROMPT is the data you obtained from web scraping, and text-davinci-002 is the model you wish to use, you can change it as your requirement.

3. Interpret the Response: The response from the OpenAI API will be in JSON format. You can parse this response to extract the generated text. Bear in mind that you'll need to adjust these steps according to the specifics of your project.

As you are a non-technical person, you might need to collaborate with a developer or learn more about Python, web scraping, and working with APIs to accomplish this task. It's a learning process, but with time and practice, you can certainly achieve your goal.

I hope this ignite some ideas for you.

Regards,

Yutong