Requirements Processor

This repository contains a script that reads content from all files in the requirements directory, sends the content to an Azure AI model for processing, and writes the model's response to corresponding output files.

Features

• Reads content from all files in the requirements directory.
• Sends the content to an Azure AI model for processing.
• Writes the model's response to output files named after the original files with _response.txt appended.

Setup

1. Clone the repository:

   git clone https://github.com/ryano0oceros/ghmodels-demo.git
   cd ghmodels-demo

2. Set your environment variables:

   export AZURE_ENDPOINT=your_azure_ai_inference_endpoint
   export AZURE_KEY=azure_foundry_api_key_1

Usage

1. Place your requirement files in the requirements directory.

2. Update the standard prompt in the root directory, feed specific prompts into the requirements directory.

3. Run the script:

   python3 prompt.py

4. The responses will be written to the outputs directory with filenames corresponding to the original files, appended with _response.txt.