my Python journey: streamlit...
First off I researched adn chased down a LOT of options...
For example, I had never heard of notebooks on Python, apparently:
Juypter and
Marimo are options...
https://molab.marimo.io/notebooks
BUT I have yet to understand why I might use them...
after looking for weeks and flirting with a few options, I came across STREAMLIT:
- Simple Syntax: You write Python code, and Streamlit turns it into a web app with minimal effort. For example, using st.title(), st.button(), or st.text_area() creates interactive UI elements.
- Interactive Widgets: Streamlit provides built-in widgets like buttons, sliders, file uploaders, and text inputs, making it easy to create user interfaces (e.g., the tabs and buttons in your app for language switching and email drafting).
- Real-Time Updates: Changes in the app (e.g., clicking a button or uploading a file) trigger automatic updates, streamlining user interaction.
- No Front-End Coding: Unlike traditional web frameworks (e.g., Flask or Django), Streamlit handles the front-end automatically, so you focus on Python logic.
- Deployment: Apps can be deployed locally (via streamlit run app.py) or to platforms like Streamlit Cloud, Heroku, or AWS for public access.
- Integration: Works well with Python libraries like Pandas, NumPy, scikit-learn, and APIs (e.g., Gmail API in your code).
- Tabs for switching between English and German (st.tabs).
- File Uploader for Google Takeout MBOX files (st.file_uploader).
- Buttons for actions like connecting to Gmail, fetching emails, and generating drafts (st.button).
- Text Areas for previewing and editing draft emails (st.text_area).
- Checkboxes for marking emails as priority (st.checkbox). When you run streamlit run app.py, Streamlit launches a local web server, rendering the app in your browser with these interactive elements.
- Ease of Use: Ideal for Python developers who want to build web apps without learning web technologies.
- Rapid Prototyping: Perfect for quickly creating tools like an email draft generator.
- Data-Centric: Great for apps involving data processing, APIs, or machine learning, as in your app’s use of TF-IDF for drafting responses.
- Customization: Limited control over the front-end compared to frameworks like Flask or React.
- Scalability: Best for small to medium-sized apps or prototypes, not complex production systems.
- Popup Interface: Your code uses Streamlit’s web-based UI, which isn’t a true browser popup (like an extension). For a popup-style interface, you’d need additional tools (e.g., a browser extension or JavaScript).
So, getting started with streamlit docs...
>>FASTFORWARD a few WEEKS>>
oops. the learnigns just keep on:
I got the Google Takeout MBOX and it is 7.885.457.852 bytes (7,89 GB on disk)...
ModuleNotFoundError: No module named 'cgi'
👊☺👿⍰¿??﹖︖⸮⁈⁇⁉
EjnxgFCi38JBXEhsiCqeZycj4yBGG3m9fpjf4vDrcaf8
File "/Users/REDACTED", line 16, in <module>
from googletrans import Translator
File "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/googletrans/__init__.py", line 6, in <module>
from googletrans.client import Translator
File "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/googletrans/client.py", line 13, in <module>
import httpx
File "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/httpx/__init__.py", line 2, in <module>
from ._api import delete, get, head, options, patch, post, put, request, stream
File "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/httpx/_api.py", line 3, in <module>
from ._client import Client, StreamContextManager
File "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/httpx/_client.py", line 8, in <module>
from ._auth import Auth, BasicAuth, FunctionAuth
File "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/httpx/_auth.py", line 10, in <module>
from ._models import Request, Response
File "/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/httpx/_models.py", line 1, in <module>
import cgi
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