🤖 AutoGram

AutoGram is an intelligent AI agent that automates AI news curation and Instagram content management. It seamlessly collects tech news, generates engaging visuals, and maintains your social media presence - all on autopilot.

Demo

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🔄 Collect → 🧠 Analyze → 🎨 Create → 📱 Share

✨ Key Features

• Smart News Aggregation: Automatically collects and filters AI & tech news
• AI-Powered Content Creation: Generates unique, branded images for each post
• Automated Instagram Management: Handles posting and scheduling
• Performance Analytics: Tracks engagement and optimizes content strategy
• Self-Learning: Improves content selection based on performance
• Brand Consistency: Maintains your visual identity across all posts
• Multi-Model Image Generation: Supports both OpenAI GPT Image and Replicate models

🛠️ Tech Stack

• Core Engine: Python 3.9+
• AI Services:
  • Google Gemini (content analysis)
  • OpenAI GPT Image (primary image generation)
  • Replicate ideogram (alternative image generation)
• News Sources: GNews API
• Social Platform: Instagram API
• Processing: aiohttp, asyncio
• Validation: Pydantic
• Image Handling: Pillow

🚀 Quick Start

1. Clone & Install

git clone https://github.com/ranahaani/autogram.git
cd autogram
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt

2. Configure Environment

# Create .env file
cp .env.example .env

# Add your API keys
GEMINI_API_KEY=your_key_here
OPENAI_API_KEY=your_openai_key_here
REPLICATE_API_TOKEN=your_token_here
IG_USERNAME=your_username
IG_PASSWORD=your_password

3. Configure Agent

// config.json
{
    "name": "AutoGram",
    "post_frequency": 3,
    "max_news_age": 24,
    "output_dir": "./output",
    "brand_theme": {
        "primary_color": "#FF6B6B",
        "secondary_color": "#4ECDC4",
        "font_style": "modern"
    },
    "image_generation": {
        "default_provider": "openai",
        "providers": {
            "openai": {
                "model": "gpt-image-1",
                "size": "1024x1024",
                "quality": "medium"
            },
            "replicate": {
                "model": "ideogram-ai/ideogram-v2"
            }
        }
    }
}

4. Launch

python main.py

📊 Monitoring Dashboard

📈 Performance Metrics
- Posts Created: 125
- Engagement Rate: 3.2%
- Top Performing Topics: AI, Machine Learning, Tech Innovation
- Average Likes: 234
- Comment Rate: 2.1%

⚙️ Advanced Configuration

Image Generation Settings

You can configure which AI model to use for image generation in config.json:

1. OpenAI GPT Image (Default)

{
    "image_generation": {
        "default_provider": "openai",
        "providers": {
            "openai": {
                "model": "gpt-image-1",
                "size": "1024x1024",
                "quality": "medium"
            }
        }
    }
}

2. Replicate Ideogram

{
    "image_generation": {
        "default_provider": "replicate",
        "providers": {
            "replicate": {
                "model": "ideogram-ai/ideogram-v2"
            }
        }
    }
}

Custom News Sources

class NewsSource:
    async def fetch(self) -> List[NewsItem]:
        # Your custom news source logic
        pass

Content Templates

TEMPLATES = {
    "tech_news": "Modern minimalist tech visualization: {title}",
    "ai_update": "Futuristic AI concept representing: {content}",
    "innovation": "Creative tech breakthrough visual for: {topic}"
}

🔄 Workflow

graph LR
    A[News Collection] --> B[AI Analysis]
    B --> C[Content Generation]
    C --> D[Image Creation]
    D --> E[Instagram Posting]
    E --> F[Performance Analysis]
    F --> A

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🚧 Error Handling

AutoGram includes robust error handling:

• Automatic retry mechanisms
• Graceful degradation
• State persistence
• Error notifications
• Performance monitoring

📱 Sample Output

📸 Generated Post Example:
- Title: "Breaking: New AI Model Achieves Human-Level Performance"
- Image: Modern tech visualization (via OpenAI GPT Image)
- Hashtags: #AI #TechNews #Innovation #FutureOfTech
- Engagement: 543 likes, 27 comments

🛡️ Best Practices

1. Content Strategy

   • Post during peak engagement hours
   • Maintain consistent branding
   • Use trending hashtags
   • Monitor performance metrics

2. System Management

   • Regular log monitoring
   • Backup configuration files
   • Update API keys periodically
   • Monitor resource usage

🔮 Roadmap

• Multi-model image generation support
• AI-powered hashtag optimization
• Advanced analytics dashboard
• Custom template builder
• Engagement automation
• A/B testing system

🤝 Contributing

Contributions are welcome! Please read our Contributing Guidelines for details on our code of conduct and the process for submitting pull requests.

📜 License

AutoGram is licensed under the MIT License - see the LICENSE file for details.

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Built with ❤️ by the ranahaani@gmail.com

Copyright © 2025 AutoGram