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How can I deploy YOLOv5 integrated with the Flask framework for a website interface on a hosting service #354

How can I deploy YOLOv5 integrated with the Flask framework for a website interface on a hosting service

How can I deploy YOLOv5 integrated with the Flask framework for a website interface on a hosting service #354

Workflow file for this run

# Ultralytics πŸš€ - AGPL-3.0 License https://ultralytics.com/license
# Ultralytics Actions https://github.com/ultralytics/actions
# This workflow automatically formats code and documentation in PRs to official Ultralytics standards
name: Ultralytics Actions
on:
issues:
types: [opened]
pull_request:
branches: [main]
types: [opened, closed, synchronize, review_requested]
jobs:
format:
runs-on: ubuntu-latest
steps:
- name: Run Ultralytics Formatting
uses: ultralytics/actions@main
with:
token: ${{ secrets._GITHUB_TOKEN }} # note GITHUB_TOKEN automatically generated
labels: true # autolabel issues and PRs
python: true # format Python code and docstrings
prettier: true # format YAML, JSON, Markdown and CSS
spelling: true # check spelling
links: false # check broken links
summary: true # print PR summary with GPT4o (requires 'openai_api_key')
openai_api_key: ${{ secrets.OPENAI_API_KEY }}
first_issue_response: |
πŸ‘‹ Hello @${{ github.actor }}, thank you for raising an issue about [Ultralytics HUB](https://hub.ultralytics.com) πŸš€! Please visit our [HUB Docs](https://docs.ultralytics.com/hub) to learn more:
- [**Quickstart**](https://docs.ultralytics.com/hub/quickstart). Start training and deploying YOLO models with HUB in seconds.
- [**Datasets: Preparing and Uploading**](https://docs.ultralytics.com/hub/datasets). Learn how to prepare and upload your datasets to HUB in YOLO format.
- [**Projects: Creating and Managing**](https://docs.ultralytics.com/hub/projects). Group your models into projects for improved organization.
- [**Models: Training and Exporting**](https://docs.ultralytics.com/hub/models). Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
- [**Integrations**](https://docs.ultralytics.com/hub/integrations). Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
- [**Ultralytics HUB App**](https://docs.ultralytics.com/hub/app). Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
* [**iOS**](https://docs.ultralytics.com/hub/app/ios). Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads.
* [**Android**](https://docs.ultralytics.com/hub/app/android). Explore TFLite acceleration on mobile devices.
- [**Inference API**](https://docs.ultralytics.com/hub/inference-api). Understand how to use the Inference API for running your trained models in the cloud to generate predictions.
If this is a πŸ› Bug Report, please provide screenshots and steps to [reproduce](https://docs.ultralytics.com/help/minimum_reproducible_example/) your problem to help us get started working on a fix.
If this is a ❓ Question, please provide as much information as possible, including dataset, model, environment details etc. so that we might provide the most helpful response.
We try to respond to all issues as promptly as possible. Thank you for your patience!