AI Social Media Bot

A Python-based bot that uses Generative AI to create and post content to Instagram and Threads. It integrates with Stability AI, DALL-E 3, and Google Imagen for image generation and uses Google Gemini for intelligent caption creation.

🚀 Core Features

• Multi-Provider Image Generation: Creates images using Stability AI, DALL-E 3, and Google Imagen.
• Automated Posting: Publishes generated content to Instagram (feed and stories) and Threads.
• Intelligent Captioning: Leverages the Gemini vision model to generate relevant captions for your images.
• Advanced Prompt Engineering: Enhances basic prompts with additional styles, lighting, and composition details to create more dynamic images.
• Cloud Storage Integration: Automatically uploads and serves images from Google Cloud Storage.
• A/B Testing Framework: Includes endpoints to test and compare different prompt strategies.

🔧 Setup and Configuration

1. Prerequisites

• Python 3.8+
• Google Cloud SDK installed and authenticated.
• A Google Cloud project with the Cloud Storage API enabled.

2. Installation

Clone the repository and install the required Python packages:

git clone https://github.com/your-username/ai_bot_app_insta.git
cd ai_bot_app_insta
pip install -r requirements.txt

3. Environment Variables

Create a .env file in the project root or set the following environment variables.

API Credentials

# Instagram & Threads Configuration
INSTA_PAGE_ACCESS_TOKEN="your_instagram_page_access_token"
INSTA_PAGE_VERIFY_TOKEN="your_webhook_verification_token"
INSTA_BUSINESS_ACCOUNT_ID="your_instagram_business_account_id"
THREADS_API_TOKEN="your_threads_api_token"
THREADS_USER_ID="your_threads_user_id"

# AI Provider Keys
OPENAI_TOKEN="your_openai_api_key"
STABILITY_KEY="your_stability_ai_key"
GEMINI_API_KEY="your_google_gemini_key"

Prompt Tuning (Optional)

# Enable/disable advanced prompt features
ENABLE_ENHANCED_PROMPTS=true
ENABLE_NEGATIVE_PROMPTS=true
PROMPT_COMPLEXITY_LEVEL=2  # 1=simple, 2=enhanced, 3=complex

⚙️ Usage

Local Development

To run the Flask server locally for development and testing:

flask run

The application will be available at http://127.0.0.1:5000.

API Endpoints

Content Generation

Trigger a post using one of the following endpoints. Each endpoint generates an image with a different AI provider, creates a caption, and posts to Instagram and Threads.

• Stability AI: GET /stability_post_insta
• DALL-E 3: GET /openai_post_insta
• Google Imagen: GET /imagen_post_insta

Example:

curl http://127.0.0.1:5000/stability_post_insta

Testing & Analytics

• GET /test_prompt_strategies: A/B test different prompt generation strategies.
• GET /prompt_performance: View performance statistics for prompts.
• POST /reset_prompt_performance: Reset the performance tracker.

🚀 Deployment

This application is designed to be deployed as a serverless container, for example, using Google Cloud Run.

To deploy to Google Cloud Run:

gcloud run deploy ai-bot-app-insta --source . --allow-unauthenticated --region=asia-northeast1 --project=yahayuta

Setting Environment Variables in Cloud Run

After deploying the service, you need to set the environment variables in the Cloud Run console.

1. Go to the Google Cloud Console.
2. Navigate to the Cloud Run section.
3. Select your service (ai-bot-app-insta).
4. Click on "Edit & Deploy New Revision".
5. Under the "Variables & Secrets" tab, add the environment variables listed in the .env section.
6. Click "Deploy".

📄 License

This project is open source. Feel free to modify and adapt it for your needs.