AnswerFisk | VANDYHACKS XI

Project Documentation @ NOTION

Presentation @ VandyHacks XI

Contributors:

• Manoj Bagale
• Zeal Okechukwu Achonu
• Osewuike Igue

Screenshots:

Prerequisites

• Basic understanding of Python programming
• Familiarity with web development and APIs

Setup

1. Create a Perplexity Account:

   • Sign up for a Perplexity account and obtain your API key from the Perplexity dashboard.

2. Environment Setup:

   • Create a project directory:

     mkdir AnswerFisk
     cd AnswerFisk

   • Install Python from python.org.
   • Install virtualenv to create an isolated environment:

     pip install virtualenv

   • Create and activate a virtual environment:

     virtualenv chatbot_env
     source chatbot_env/bin/activate

3. Install Dependencies:

   • Create a requirements.txt file with the following contents:

     Flask==2.0.3
     requests==2.25.1

   • Install the required dependencies:

     pip install -r requirements.txt

4. Project Structure:

   • Create the following folder structure:

     project_root/
     ├── app.py
     ├── static/
     │   ├── css/
     │   ├── js/
     │   └── assets/
     └── templates/
         ├── home.html
         └── chat.html
     

5. Implementation:

   • Create app.py with the basic Flask structure
   • Design home.html and chat.html for the chatbot interface within the templates/ folder.
   • Set your API key as an environment variable:

     export API_KEY='your-api-key-here'

6. Run the Application:

   • Run the Flask app:

     python app.py

   • Open a web browser and go to http://localhost:5000.

Features

• Web-based chat interface
• Integration with Meta's Llama model for AI-powered responses