Chat Analyzer 💬

Welcome to the Chat Analyzer! This tool is designed to help you analyze and visualize statistics from your chat data. It provides insights into messaging patterns, user interactions, and more, using various visualizations and metrics.

Features ✨

• Upload Chat Data: Upload chat data in text format. 📂
• User Analysis: View statistics for individual users or all users combined. 🧑‍🤝‍🧑
• Statistics Overview:
  • Total Messages 📩
  • Total Words 🗣️
  • Media Shared 📸
  • Links Shared 🔗
• Visualizations:
  • Monthly and Daily Timelines 📅
  • Activity Maps (Most Busy Days and Months) 🗺️
  • Word Cloud ☁️
  • Most Common Words 📝
  • Emoji Analysis 😃

Hosted Version 🌐

A hosted version of the Chat Analyzer is available at: Chat Analyzer

How to Use 🚀

1. Clone the Repository

   git clone https://github.com/yourusername/chat-analyzer-dashboard.git
   cd ChatAnalyzer

2. Install Dependencies

   pip install -r requirements.txt

3. Clone the Repository

   git clone https://github.com/yourusername/chat-analyzer-dashboard.git
   cd ChatAnalyzer

4. Prepare Chat Data.

5. Run the App

   streamlit run app.py

6. Upload and Analyze:

   • Open your web browser and go to http://localhost:8501.
   • Navigate to the "Analyze Chat" section and upload your chat file. 📤
   • Select a user from the dropdown menu to analyze specific data or choose "Overall" to see combined statistics. 📊
   • Click "Show Analysis" to view the generated statistics and visualizations.

• Project Structure: 🗂️

  • app.py: Main file for running the Streamlit app 🖥️
  • process.py: Script for processing chat data and creating DataFrame. 📈
  • fetcher.py: Contains functions for fetching and analyzing chat data. 📊
  • requirements.txt: List of Python dependencies. 📜
  • stop_hinglish.txt: File containing stop words used for text analysis. 🚫

• Dependencies: 🧩 The project requires the following Python packages:

  • streamlit
  • pandas
  • matplotlib
  • seaborn
  • wordcloud
  • urlextract
  • emoji

  You can install all dependencies using the provided requirements.txt file.

Contributing 🤝

1. Fork the repository.

2. Create a new branch:

   git checkout -b feature-branch
   

3. Make your changes. ✏️

4. Commit your changes:

   git commit -am 'Add new feature'
   

5. Push to the branch:

   git push origin feature-branch
   

6. Open a pull request.: 📥

Visuals 🎥📸

Application Images