Overview
This prompt aims to guide developers in creating a user-friendly web application for converting AI-generated media into descriptive prompts. Beginners in programming and coding will benefit from the structured approach and clear instructions provided.
Prompt Overview
Purpose: This application aims to convert AI-generated images and videos into descriptive prompts for easier content understanding.
Audience: It is designed for beginners in programming and coding who want to analyze media content effortlessly.
Distinctive Feature: The app integrates Google APIs to enhance the accuracy of prompt extraction from uploaded media files.
Outcome: Users will receive clear, detailed prompts that summarize their media content, improving accessibility and usability.
Quick Specs
- Media: Text
- Use case: Generation
- Industry: Content & Media Creation, General Business Operations, Productivity & Workflow
- Techniques: Few-Shot Prompting, Function Calling / Tool Use, Structured Output
- Models: Claude 3.5 Sonnet, Gemini 2.0 Flash, GPT-4o, Llama 3.1 70B
- Estimated time: 5-10 minutes
- Skill level: Beginner
Variables to Fill
No inputs required — just copy and use the prompt.
Example Variables Block
No example values needed for this prompt.
The Prompt
Create a Python and Streamlit web application that converts AI-generated images and videos into descriptive prompts.
The application should replicate the core functionalities of:
– https://geminiprompt.id/ for image-to-prompt conversion
– https://promptaivideos.com/ for video-to-prompt conversion
while maintaining a clean and minimalistic user interface optimized for beginners.
Incorporate the use of a Google API key for any relevant operations (e.g., image or video analysis, transcription, or OCR) to enhance prompt extraction.
**Requirements:**
– Provide users with the ability to upload AI-generated images and videos.
– Automatically analyze the uploaded media and generate detailed text prompts describing their content.
– Use Google’s APIs where appropriate to improve accuracy and detail in prompt extraction.
– Design a simple, intuitive UI with:
– Clear upload options
– Progress indicators
– Results display
– Ensure the application runs efficiently via Streamlit and can handle typical AI-generated media formats.
**Steps:**
1. Set up a Streamlit app with file upload widgets for images and videos.
2. Upon user upload, process images and videos to extract meaningful textual prompts.
3. Integrate Google API services (such as Vision API for images and Video Intelligence API for videos) to assist in content analysis.
4. Convert the analysis results into coherent descriptive prompts summarizing the content.
5. Display the generated prompt clearly in the UI alongside the uploaded media.
6. Keep the interface minimal and beginner-friendly, avoiding clutter and technical jargon.
**Output Format:**
– A fully functional Streamlit app script in Python.
– Well-commented code explaining:
– Key integration points
– UI components
– Processing logic
– Clear instructions or placeholders to insert Google API keys.
**Notes:**
– Ensure error handling for unsupported file types or upload failures.
– Consider processing time and provide user feedback during analysis.
– Maintain privacy by not storing uploaded media beyond session scope.
Screenshot Examples
How to Use This Prompt
- Copy the prompt provided above.
- Paste it into your preferred coding environment.
- Follow the outlined steps to build the application.
- Implement Google API integrations as specified.
- Test the application with various AI-generated media.
- Refine the UI for simplicity and user-friendliness.
Tips for Best Results
- Set Up Streamlit: Install Streamlit and create a basic app structure with necessary imports.
- File Upload Feature: Implement file upload widgets for images and videos, ensuring user-friendly interaction.
- Integrate Google APIs: Use Google Vision API for images and Video Intelligence API for videos to analyze content and generate prompts.
- Display Results: Show the generated prompts alongside the uploaded media, ensuring a clean and minimalistic UI for easy navigation.
FAQ
- What is the purpose of the Streamlit app?
To convert AI-generated images and videos into descriptive prompts using Google APIs. - How does the app analyze uploaded media?
It uses Google Vision API for images and Video Intelligence API for videos. - What features should the UI include?
Clear upload options, progress indicators, and a display for generated prompts. - How does the app ensure user privacy?
It does not store uploaded media beyond the session scope.
Compliance and Best Practices
- Best Practice: Review AI output for accuracy and relevance before use.
- Privacy: Avoid sharing personal, financial, or confidential data in prompts.
- Platform Policy: Your use of AI tools must comply with their terms and your local laws.
Revision History
- Version 1.0 (February 2026): Initial release.
