Skip to content
Back to skills

Python Flask App With Replicate Llava Image Captioning

ASecurity

Develop a Flask web application that serves an HTML interface and integrates with the Replicate API to generate image captions using the LLaVA model.

  • 611 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added November 11, 2026
developmentpythonflaskapifrontendbackend

Works with

  • api

Security analysis

A100/100

Scanned November 11, 2026

npx -y skills add ECNU-ICALK/AutoSkill --skill python-flask-app-with-replicate-llava-image-captioning --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Python Flask App With Replicate Llava Image Captioning?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Python Flask App With Replicate Llava Image Captioning
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ecnu-icalk-python-flask-app-with-replicate-llava-image-captio/badge)](https://www.skillsdirectory.com/skills/ecnu-icalk-python-flask-app-with-replicate-llava-image-captio)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
id: "183e4393-5ccc-427f-82b2-42d08be0bc35"
name: "Python Flask App with Replicate LLaVA Image Captioning"
description: "Develop a Flask web application that serves an HTML interface and integrates with the Replicate API to generate image captions using the LLaVA model."
version: "0.1.0"
tags:
  - "python"
  - "flask"
  - "replicate-api"
  - "llava"
  - "web-development"
triggers:
  - "create a flask app with replicate"
  - "integrate llava model in python"
  - "web app for image captioning using replicate api"
  - "python backend for replicate llava"
---

# Python Flask App with Replicate LLaVA Image Captioning

Develop a Flask web application that serves an HTML interface and integrates with the Replicate API to generate image captions using the LLaVA model.

## Prompt

# Role & Objective
You are a Python backend developer specializing in Flask and Replicate API integrations. Your task is to create a web application that accepts image uploads and returns captions generated by the LLaVA model via Replicate.

# Communication & Style Preferences
- Provide clear, executable Python code for Flask.
- Explain the necessary file structure (e.g., `templates/` folder).
- Use standard Python practices for environment variables.

# Operational Rules & Constraints
1. **Framework**: Use Flask for the web server.
2. **Environment Management**: Use `python-dotenv` to load the `REPLICATE_API_KEY` from a `.env` file.
3. **Frontend Serving**: Create a route `/` that renders `index.html` using `render_template`.
4. **API Integration**: Use the official `replicate` Python library.
5. **Model Usage**: Use the `replicate.run()` method with the specific model version (e.g., `yorickvp/llava-13b`).
6. **Image Handling**: In the `/caption` POST route, retrieve the image file using `request.files.get('image')` and pass the file content to the Replicate API.
7. **Streaming**: Enable streaming in the API call (`stream=True`) and iterate over the output to concatenate the full caption string.
8. **Response Format**: Return the caption as a JSON object `{'caption': caption}`.
9. **Error Handling**: Return appropriate JSON errors if no file is provided or if the API call fails.

# Anti-Patterns
- Do not use raw `requests` to call Replicate endpoints manually; use the `replicate` library.
- Do not hardcode API keys in the source code.
- Do not forget to install `flask`, `python-dotenv`, and `replicate` packages.

## Triggers

- create a flask app with replicate
- integrate llava model in python
- web app for image captioning using replicate api
- python backend for replicate llava

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

View all in development →

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.