A simple way to demo Flask apps from your machine.
Project description
flask-localtunnel
This inspired from flask-ngrok
Disclaimer:-
Use it only for educational purpose.
A simple way to demo Flask apps from your machine. Makes your Flask apps running on localhost available over the internet via the excellent localtunnel tool.
Compatability
Python 3.6+ is required.
Installation
pip install flask-localtunnel
Inside Jupyter / Colab Notebooks
Notebooks have an issue with newer versions of Flask, so force an older version if working in these environments.
!pip install flask
See the example notebook for a working example.
Quickstart
- Import with
from flask_localtunnel import run_with_lt
- Add
run_with_lt(app)
to make your Flask app available upon running
# flask_ngrok_example.py
from flask import Flask
from flask_lt import run_with_lt
app = Flask(__name__)
run_with_lt(app)
@app.route("/")
def hello():
return "Hello World!"
if __name__ == '__main__':
app.run()
Running the example:
python flask_lt_example.py
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* localtunnel is alreadty installed.
* your url is: https://<random-url>.loca.lt
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file flask-localtunnel-1.0.4.tar.gz
.
File metadata
- Download URL: flask-localtunnel-1.0.4.tar.gz
- Upload date:
- Size: 4.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 79f168a48a17ef74be27948ea55742b516b4e4ec2f3b9c0a6f2de493fa7a2a8e |
|
MD5 | 03a51083a1dabb003eeea403140f02f7 |
|
BLAKE2b-256 | 802c992ccd377e0a609153d0ecddc657182380c8f5b85b7c96c3822bc3d24fed |
File details
Details for the file flask_localtunnel-1.0.4-py3-none-any.whl
.
File metadata
- Download URL: flask_localtunnel-1.0.4-py3-none-any.whl
- Upload date:
- Size: 5.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f7618e094106bf8f5b5af7a93be48f1163b147f7196f08debf53a5a8a1e3071b |
|
MD5 | 3bb612db2842ff2245531f510daee01d |
|
BLAKE2b-256 | d352eb19873855c52dfd965861037bac91455562ebe1d0dba3751ae3008223c5 |