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EsportsBot AI

A streamlined, AI-powered chatbot that leverages Google’s Gemini LLM and the official Esports Earnings API to provide real-time esports data. Ask questions about players, teams, tournaments, or specific games, and EsportsBot AI will fetch relevant data and summarize it in clear, conversational responses.

Project Files

  1. esports.ipynb

    • A Jupyter Notebook demonstrating end-to-end usage of the Esports Earnings API and Gemini LLM.
    • Showcases how to make direct API requests, integrate the LLM for summarization, and prototype queries.

  2. esports_app.py

    • A Streamlit-based web application that provides a user-friendly chatbot interface.
    • Leverages Google’s Gemini 2.0 Flash model to interpret user queries, choose the right Esports Earnings API endpoint, fetch data, and summarize responses.
    • Usage: 
      streamlit run esports_app.py
      • Make sure to install the required dependencies (see Installation) and set your environment variables/keys.

  3. esports_games.csv

    • A CSV containing scraped game IDs and names from Esports Earnings.
    • The chatbot reads from this file to dynamically map textual game names (like "Valorant") to numeric IDs (e.g., 646), avoiding hardcoding.
    • If the user references a game name in their query, the app checks this file to find the correct ID.

Installation

  1. Clone or Download this repository.
  2. Install dependencies: 
    pip install -r requirements.txt

live deployment link

https://esportsbot-ai-hdgezdkrmftbhdvjg5besw.streamlit.app