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Your AI journaling assistant.
Home Page: https://clarity-frontend.herokuapp.com
License: Apache License 2.0
Python 24.79%
HTML 1.28%
JavaScript 53.37%
SCSS 19.86%
Dockerfile 0.70%
clarity's Introduction
innovation maximalist
i work on building cross-chain and secure solutions at avail
i like fiddling with solidity, rust, go, really anything random
chelsea fan
clarity's People
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clarity's Issues
sidebar should be connected with header and should hide in mobile view.
will contain all different lists too if we are providing the option, will give the option of creating a new list too.
Issue type
Summary
Enable running it on cloud
Error Log if applicable
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Summary
Readme added
Error Log if applicable
header should allow sidebar responsiveness
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Summary
Currently, the ml
module is a sibling folder and doesn't work well with default relative imports, we need to fix that.
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Summary
We need a ML model to analyze text and give us a sentiment output.
Description
Make Login page and then connect it such that the website can't be navigated through without logging in
Issue type
Summary
We need to add the ML model predictions and add text cleanup for the same.
Whenever the user logs in he should be able to see his already journals.
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Summary
CORS will allow the requests across any origin to get executed
Error Log if applicable
Earlier it was showing network error with any cross origin request from the front-end be it http or https
An issue and PR template will help in conserving the format of PRs or issues and will also help the new contributors
Issue type
Summary
Relative imports don't work properly for loading model files or related assets.
Error Log if applicable
OSError: SavedModel file does not exist at: model.h5/{saved_model.pbtxt|saved_model.pb}
Whenever the user should write something in his journal. The journal should get added to the database. This endpoint should execute that task.
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Summary
Styling of ML outputs for better visualization
Error Log if applicable
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Summary
Have to connect the backend endpoints to show the ML working in frontend
after the journal entry is submitted show the suggested song output of sentiment analysis of ml
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Summary
Connect the backend to the machine learning model
Error Log if applicable
Issue type
Summary
We should add code scanning GitHub action to watch out for accidental secrets release and security vulnerabilities.