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Telegram Chat Analyzer is a WebApp and it can be used by anyone to analyze their chat. ๐Ÿ˜„

Home Page: https://telegram-chat-analysis.streamlit.app/

License: MIT License

Python 100.00%
pandas python3 streamlit telegram telegram-chat-analyzer webapp telegramchat telegramchatanalyzer hacktoberfest hacktoberfest2023

telegram-chat-analyzer's Introduction

Telegram-Chat-Analyzer ๐Ÿ“ˆ ๐Ÿ’ฌ

  1. ๐Ÿ““ Open the Telegram desktop app and sign in to your account.
  2. โš™๏ธ Go to Settings > Privacy and Security > Export Telegram Data.
  3. ๐Ÿ—‚๏ธ Select the chat or group that you want to export.
  4. ๐Ÿ—’๏ธ Choose JSON as the format.
  5. ๐Ÿ’พ Click Export.
  6. ๐Ÿ—’๏ธ The exported data will be saved in a file named chat_export.json in the Telegram Desktop folder on your computer.
  7. ๐Ÿ”ผ Now, you have to upload this chat_export.json file to Telegram Chat Analyzer. That's it! ๐Ÿš€
  • Important: Don't worry, none of your data is stored. ๐Ÿ”’

Contributing ๐Ÿ™‹โ€โ™‚๏ธ

1. Fork this repository. Click on the symbol at the top right corner.

2. Clone the forked repository. ๐Ÿ’ป

git clone https://github.com/<your-github-username>/Telegram-Chat-Analyzer

3. Navigate to the project directory.:file_folder:

cd Telegram-Chat-Analyzer

4. Create a new branch. ๐Ÿ“

git checkout -b <your_branch_name>

5. Make changes in source code.

6. Stage your changes and commit. โœ…

#Add changes to Index
git add .

#Commit to the local repo
git commit -m "<your_commit_message>"

CAUTION: Synch up your local repo with original repo (Upstream) before pushing your commits. This avoids unnecessary conflicts during the merge.

7. Push your local commits to the remote repo.:rocket:

git push -u origin <your_branch_name>

8. Create a PR !

9. Congratulations! Sit and relax, you've made your contribution to Telegram Chat Analyzer.:tada:

NOTE: Feel free to open issues.:bulb:

Run on Local System

  • Install packages given in requirements.txt.:package:
pip install -r requirements.txt
  • Run the below command to start your local server.:arrow_forward:
streamlit run app.py

Credits ๐Ÿ‘

This project was inspired by WhatsApp Chat Analyzer. I would like to thank Prem for their contributions to this project ๐Ÿ™.

telegram-chat-analyzer's People

Contributors

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Forkers

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