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README.md
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In this repository, I have created a natural language processing (NLP) system that analyzes the TV Series - How I Met Your Mother.
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# HOW I MET YOUR MOTHER - SERIES ANALYSIS
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## Overview
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The HIMYM Analysis project is a web application designed to analyze themes and character networks in the TV series "How I Met Your Mother" using subtitles or scripts.
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This project leverages `gradio` for the web interface, allowing users to perform theme classification and generate character networks interactively.
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## Features
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### 1. __Theme Classification (Zero Shot Classifier):__
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- Input a list of themes.
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- Upload subtitles or scripts.
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- Visualize the distribution of themes in the series using a bar chart.
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### 2. __Character Network:__
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- Generate and visualize character interaction networks.
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- Extract named entities from subtitles or scripts to create character networks.
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### 3. __Talk To Barney:__
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- Ask anything from Barney and the answer is gonna be legend- wait for it, -dary.
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## Installation
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__Clone the repository:__
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```bash
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git clone https://github.com/iiakshat/himym-analysis.git
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cd HIMYM-Analysis
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```
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__Install the required Python packages:__
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```bash
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pip install -r requirements.txt
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```
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## Usage
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__To run the application, execute the following command:__
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```bash
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python app.py
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```
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The web application will launch, and you will be provided with a URL to access the interface.
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## Contributing
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- Fork the repository.
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- Create a new branch `(git checkout -b feature-branch)`.
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- Make your changes and commit them `(git commit -m 'Add some feature')`.
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- Push to the branch `(git push origin feature-branch)`.
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- Create a new Pull Request.
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