my_project/
├── chatbot/
│ ├── __init__.py
│ ├── admin.py
│ ├── apps.py
│ ├── migrations/
│ │ └── __init__.py
│ ├── models.py
│ ├── tests.py
│ ├── views.py
│ ├── chatbot_model.h5
│ ├── classes.pkl
│ ├── words.pkl
│ ├── intents.json
│ ├── preprocessing.py
│ ├── training_data.pkl
│ └── training.py
├── frontend/
│ ├── static/
│ │ ├── frontend/
│ │ │ ├── css/
│ │ │ │ └── stylechat.css
│ │ │ ├── fonts/
│ │ │ │ ├── css/
│ │ │ │ │ ├── fontawesome.min.css
│ │ │ │ │ └── all.min.css
│ │ │ │ └── ... (other font files)
│ │ │ ├── images/
│ │ │ │ ├── avatar/
│ │ │ │ │ └── Abdullah.jpg
│ │ │ │ └── logo/
│ │ │ │ └── SVG/
│ │ │ │ ├── IntelliAI_Logo_Icon.svg
│ │ │ │ └── ... (other logo files)
│ │ │ └── js/
│ │ │ ├── appchat.js
│ │ │ └── ... (other JavaScript files)
│ │ └── ... (other static files)
│ └── templates/
│ └── frontend/
│ ├── base.html
│ ├── chat.html
│ ├── signin.html
│ └── signout.html
├── my_project/
│ ├── __init__.py
│ ├── settings.py
│ ├── urls.py
│ └── wsgi.py
├── manage.py
└── chatbot_app.py
1. my_project/: This is the root directory of your Django project.
2. chatbot/: This directory represents a Django app named "chatbot", containing files related to your chatbot logic.
• __init__.py: This file makes the directory a Python package.
• admin.py: This file contains configurations for the Django admin interface.
• apps.py: This file defines the configuration for the chatbot app.
• migrations/: This directory stores database migrations created by Django.
• models.py: This file contains Django models representing database tables.
• tests.py: This file contains unit tests for the chatbot app.
• views.py: This file contains views (controller functions) for handling HTTP requests.
• chatbot_model.h5: Trained model file for your chatbot, likely generated using a machine learning framework like TensorFlow or Keras.
• classes.pkl and words.pkl: These files contain serialized data structures used for preprocessing the data before training the chatbot model.
• inference.py: This script provides functionality for making predictions using the trained chatbot model.
• intents.json: JSON file containing intents for your chatbot, used for training and inference.
• preprocessing.py: Script for preprocessing data before training the chatbot model.
• training_data.pkl: File containing preprocessed training data for your chatbot.
• training.py: Script for training the chatbot model.
3. frontend/: This directory contains static assets (CSS, JavaScript, images, fonts) and templates (HTML) for the frontend of your application.
• static/: This directory contains static files like CSS, JavaScript, and images.
• templates/: This directory contains HTML templates used by Django for rendering views.
4. my_project/: This directory contains the main Django project files.
• __init__.py: This file makes the directory a Python package.
• settings.py: This file contains project settings, including database configuration, middleware, installed apps, etc.
• urls.py: This file contains URL patterns for routing HTTP requests to views.
• wsgi.py: This file contains the WSGI application entry point for deploying your Django project.
5. manage.py: This is the Django management script used for administrative tasks like running the development server, creating migrations, etc.
6. chatbot_app.py: This file may contain additional application logic specific to the chatbot, outside of what's included in the Django app.
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The "Sana’a AI Chatbot" project is a transformative initiative aimed at revolutionizing communication within Sana'a University. This chatbot will serve as a centralized platform, enhancing information accessibility, streamlining communication, and providing a seamless experience for students, faculty, and staff.
Abdullah-Almsaodi/Sana-aAi
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The "Sana’a AI Chatbot" project is a transformative initiative aimed at revolutionizing communication within Sana'a University. This chatbot will serve as a centralized platform, enhancing information accessibility, streamlining communication, and providing a seamless experience for students, faculty, and staff.
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