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Document Processor for Call Logs with Flask & GPT-3.5 Integration

Welcome to the GitHub repository for the Document Processor, a specialized tool designed primarily for handling call logs and a variety of textual data. Leveraging Flask for the backend and integrating GPT-3.5 for its advanced language processing capabilities, this tool simplifies navigating through extensive text documents by providing concise, relevant answers to user queries.

Features

  • Document Submission: Users can easily submit document URLs. The system uses OpenAI's GPT-3.5 to analyze the content and extract valuable insights.
  • Insightful Q&A Section: At the core of the application is a Q&A feature powered by GPT-3.5. It processes complex documents and delivers straightforward, comprehensible answers.
  • Continuous Learning: By integrating ChatGPT, the tool improves over time, refining its responses to ensure the information remains accurate and pertinent.

This project aims to enhance document management, making it more intuitive and interactive, whether for professional, educational, or personal use.

Installation

Ensure you have Python installed on your system.

  1. Clone the Repository
  • git clone [repository-link]
  • cd [repository-directory]
  1. Install Dependencies:
  • pip install -r requirements.txt
  1. Environment Setup: Create a '.env' file in the project root directory and populate it with your OpenAI API key:
  • OPENAI_API_KEY=[your-openai-api-key]

Usage

To launch the Flask application: python -m app

Happy Coding! 🚀👨‍💻🤖

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