Example: @SubAlertMe_Bot

Summary:

This automated workflow in rantir is designed to analyze images received via Telegram and deliver responses based on the analysis. With advanced orchestration of nodes, this workflow streamlines image processing, making it efficient and insightful for a range of use cases.

Use Cases:

This workflow can be applied in scenarios requiring real-time image analysis and responses, including:

 
• Providing instant feedback on images in Telegram groups.
 
• Automated content moderation based on image analysis.
 
• Categorizing and tagging images based on analysis results.

Workflow Setup:

To set up this workflow, users need to:

 
• Access the rantir platform for seamless workflow management.
 
• Integrate a Telegram account for image reception and messaging.
 
• Use an OpenAI account for advanced image analysis.
 
• Set up Telegram and OpenAI credentials in rantir.
 
• Build and connect nodes within the rantir workflow for optimal functionality.

Node Description:

 
1. Get the Image (Telegram Trigger):    
        
   • Triggers when an image is received via Telegram, starting the workflow.
        
   • Extracts necessary information from the image message for further actions.
      
    
 
2. Merge All Fields:    
        
   • Combines all relevant data fields from the trigger node to ensure consolidated data.
      
    
 
3. Analyze Image (OpenAI):    
        
   • Uses OpenAI to conduct a detailed analysis of the received image.
        
   • Processes image data in base64 format to derive insights from the visual content.
      
    
 
4. Aggregate All Fields:    
        
   • Compiles all data items for thorough processing and analysis.
      
    
 
5. Send Analyzed Content (Telegram):    
        
   • Sends the analyzed content back to the Telegram chat.
        
   • Provides the analyzed information in text format for user clarity and interaction.
      
    
 
6. Switch Node:    
        
   • Evaluates data to determine if an image is present in the message.
        
   • Directs the workflow based on whether an image is detected or not.
      
    

Conclusion:

This workflow automates image analysis within Telegram, improving operational efficiency and communication. By adopting this solution, users can optimize their image processing, enhance interaction on Telegram, and achieve advanced automation for image analysis tasks.