Company-Descriptions-Agent

As part of my time as a Research Assistant at the Technical University in Dortmund, Germany, a PHD student tasked me with creating an AI agent to generate company descriptions given a list of companies. I used a mixture of past programming experience, online tutorials, reading API documentation, and generative AI for small tweaks.

Overview

This project involves a Streamlit web application that leverages multiple APIs to generate detailed company descriptions. It uses Google Generative AI (Gemini) for chatbot capabilities and SerpAPI for online search results.

Features

• Load Environment Variables: Load API keys and configure Gemini.
• Initialize Gemini Model: Start a chat session with Gemini.
• Search Results: Use SerpAPI to fetch search results.
• Chat with Gemini: Send instructions to Gemini and get a response.
• File Handling: Read and process CSV and PDF files.
• Company Description Generation: Generate and display company descriptions.
• Save Descriptions: Save generated descriptions to a text file.

Installation

To install the required packages, run the following command: pip install streamlit pandas requests python-dotenv google-generativeai PyPDF2

You must create your .env file giving reference to your API keys. Here is an example of the .env file:

GOOGLE_API_KEY = "xxxxxx"

SERPAPI_API_KEY = "xxxxx"