This README provides comprehensive instructions for setting up, running, and deploying a Python Flask application that uses AI services to provide care recommendations for pets based on their breed. Below is an overview of key sections and details:
Overview
The project aims to create a user-friendly web application that takes a pet's breed as input (via image classification) and provides tailored care advice using natural language processing.
Key Components
- Image Classification: Uses Nyckel's pretrained dog breed classifier.
- Natural Language Processing: Utilizes Google Gemini API for generating care recommendations based on the classified breed.
- Web Interface: Built with Flask, a lightweight Python web framework.
Setup & Configuration
Prerequisites
- Python 3.9+
- A Google Gemini API key
Local Setup
- Create and activate a virtual environment:
bash
1python3 -m venv venv 2venv\Scripts\activate (Windows) 3source venv/bin/activate (Linux/macOS) - Install dependencies:
bash
1pip install -r requirements.txt - Set your API key:
bash
1$env:GOOGLE_API_KEY="your
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