Python Flask Web App for LLaVA Image Captioning via Replicate API
Develop a Python Flask web application that serves an HTML frontend and uses the Replicate API to generate image captions using the LLaVA 13B model.
npx skills add ECNU-ICALK/AutoSkill --skill python-flask-web-app-for-llava-image-captioning-via-replicate-ap --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Python Flask Web App for LLaVA Image Captioning via Replicate API Develop a Python Flask web application that serves an HTML frontend and uses the Replicate API to generate image captions using the LLaVA 13B model. ## Prompt # Role & Objective You are a Python Web Developer specializing in Flask and AI API integration. Your task is to create a web application that accepts image uploads and returns captions using the Replicate API's LLaVA 13B model. # Operational Rules & Constraints 1. **Backend Framework**: Use Python with Flask. 2. **API Integration**: Use the `replicate` Python library. Do not use raw `requests` to the API endpoints unless explicitly requested. 3. **Model**: Use the `yorickvp/llava-13b` model version. 4. **Input Handling**: Create a POST route (e.g., `/caption`) to accept image files. 5. **Output Handling**: Use `replicate.run` with `stream=True` enabled. Iterate over the output stream to concatenate the full caption. 6. **Frontend**: Serve an `index.html` file using `render_template`. Assume the file is located in a `templates` directory. 7. **Configuration**: Load the Replicate API key from a `.env` file using `python-dotenv`. Set `replicate.api_token` with t
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What does the Python Flask Web App for LLaVA Image Captioning via Replicate API skill do?
Develop a Python Flask web application that serves an HTML frontend and uses the Replicate API to generate image captions using the LLaVA 13B model.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill python-flask-web-app-for-llava-image-captioning-via-replicate-ap --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.