aacict/news_sentiment_analysis

result sent as base64 and json

full functional object detection by uploading the image

added object detection function and sent new object with bounding box and labels

added route for object detection

added packages

changed the folder structure to adjust multiple projects and routes

readme update, docker file update

Update README.md

read me update

path issue for installed packages

cache permission server issue fix test

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CACHE permission issue

docker file renamed

removed docker file

readme removed app_file

Update README.md

added app_file in readme

copy issue fix

changed port and docker file ; added gunicorn package

updated the readme for hugging face

Sync with Hugging Face

added origin of server

Merge branch 'main' of https://github.com/aacict/news_sentiment_analysis

added volumes

extra eun command removed

port changed and using slim image of python

changed to index.py to app.py

modified docker file

test docker deployment

added docker file and docker compose

changed requirements.txt

added init file

requirement.txt

Test deployment again

test home route

vercel deployment test

verscel json file

git iignore

Merge branch 'main' of https://github.com/aacict/news_sentiment_analysis

formatting and added cors

Update README.md

removed run script changed to api

added the final retrieval of the sentiment for the news

added flask api for getting news

added requirements.txt

retrieve key from env

Create README.md

overall sentiment label

issue fix