Building Virtual Assistants with ChatGPT

Introduction

The ChatGPT API lets you build custom virtual assistants for a wide range of use cases. In this tutorial, we will explore how to develop AI assistants tailored to your specific needs.

Types of Assistants

1. Customer service assistant

   • Answering FAQs
   • Handling complaints
   • Technical support

2. Personal assistant

   • Task management
   • Reminders and calendar
   • Information search

3. Specialized assistant

   • Legal assistant
   • Medical assistant
   • Financial assistant

Implementation

1. Base Class for Assistants

import openai
from typing import List, Dict, Optional
import json

class VirtualAssistant:
    def __init__(self, api_key: str, system_prompt: str):
        self.api_key = api_key
        self.system_prompt = system_prompt
        self.conversation_history = []
        
    def add_to_history(self, role: str, content: str):
        """
        Adds a message to the conversation history
        """
        self.conversation_history.append({
            "role": role,
            "content": content
        })
        
    def get_response(self, user_input: str) -> str:
        """
        Gets a response from the assistant
        """
        # Add the user's message to the history
        self.add_to_history("user", user_input)
        
        try:
            response = openai.ChatCompletion.create(
                model="gpt-3.5-turbo",
                messages=[
                    {"role": "system", "content": self.system_prompt},
                    *self.conversation_history
                ],
                temperature=0.7
            )
            
            assistant_response = response.choices[0].message.content
            
            # Add the response to the history
            self.add_to_history("assistant", assistant_response)
            
            return assistant_response
        except Exception as e:
            print(f"Erreur lors de la génération de la réponse: {str(e)}")
            return "Désolé, une erreur est survenue."
            
    def clear_history(self):
        """
        Resets the conversation history
        """
        self.conversation_history = []