107 lines
2.7 KiB
Markdown
107 lines
2.7 KiB
Markdown
# ChatGPT Integration Setup
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## Overview
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The search feature now uses OpenAI's ChatGPT API to find worship songs based on your search query and filter selection.
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## Setup Instructions
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### 1. Get an OpenAI API Key
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1. Go to [https://platform.openai.com/api-keys](https://platform.openai.com/api-keys)
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2. Sign in or create an account
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3. Click "Create new secret key"
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4. Copy the API key (it starts with `sk-...`)
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### 2. Option A: Use a `.env` File (Recommended)
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Create a file named `.env` inside the `backend` folder (or copy `.env.example`):
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```envenv
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OPENAI_API_KEY=sk-your_openai_key_here
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GENIUS_TOKEN=your_genius_token_here
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```
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The application now auto-loads `.env` because `load_dotenv()` is called at the top of `backend/app.py`.
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Restart the backend after changes:
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```powershell
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python app.py
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```
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### 2. Option B: Set Environment Variable
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#### Windows (PowerShell)
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```powershell
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# Set for current session only
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$env:OPENAI_API_KEY="your-api-key-here"
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# Or set permanently (requires admin)
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[System.Environment]::SetEnvironmentVariable('OPENAI_API_KEY', 'your-api-key-here', 'User')
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```
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#### Windows (Command Prompt)
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```cmd
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set OPENAI_API_KEY=your-api-key-here
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```
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#### Alternative: Create .env file
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Create a file named `.env` in the `backend` folder:
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```env
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OPENAI_API_KEY=your-api-key-here
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```
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Then update `backend/app.py` to load it:
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```python
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from dotenv import load_dotenv
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load_dotenv()
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```
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And add `python-dotenv` to `backend/requirements.txt`.
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### 3. Install Dependencies
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```powershell
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cd "E:\Documents\Website Projects\Church_SongLyric\backend"
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pip install -r requirements.txt
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```
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### 4. Restart Backend Server
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After setting the API key, restart the Flask server:
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```powershell
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python app.py
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```
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## Features
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### Search Filters
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- **All**: Searches for songs related to any field
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- **Song Title**: Focuses search on song titles
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- **Artist**: Searches by artist/singer name
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- **Band**: Searches by band/group name
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### Fallback Mode
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If the OpenAI API key is not set or ChatGPT is unavailable, the system will return mock data with a note explaining the situation.
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## Cost Considerations
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- The ChatGPT integration uses the GPT-4 model
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- Each search costs approximately $0.01-0.03 depending on response length
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- Consider using GPT-3.5-turbo for lower costs by changing `model="gpt-4"` to `model="gpt-3.5-turbo"` in `backend/app.py`
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## Troubleshooting
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- **Error: "No API key"**: Make sure you've set the `OPENAI_API_KEY` environment variable
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- **Mock data returned**: This means the API key isn't set or ChatGPT encountered an error
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- **Slow responses**: ChatGPT API calls take 2-5 seconds; this is normal
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