Build a Real-time AI Assistant with Access to Your Emails
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Build a Real-time AI Assistant with Access to Your Emails
In this tutorial, we'll show you how to build a real-time AI assistant, resembling a stereotypical nagging mother, using the latest advancements in language models, specifically Claude 3.5. This assistant will be able to check your emails, access your calendar, and interact with you in a realistic, humorous, and slightly annoying manner. This guide will walk you through the setup, coding, and execution of this project.
Setting Up Your Environment
Setting Up a Virtual Environment: Create a new virtual environment to manage dependencies and avoid conflicts.
python -m venv env source env/bin/activate # On Windows: `env\Scripts\activate`
Create the Application File:
touch app.py
Install Dependencies:
pip install anthropic 11labs pymne
Creating the Initial AI Model
Import Anthropic: Start by importing the required library.
import anthropic client = anthropic.Client(api_key="YOUR_ANTHROPIC_API_KEY")
Define the System Prompt: Create a system prompt that defines the behavior of the AI.
system_prompt = """ You are an AI designed to emulate the behavior of a stereotypical nagging mother. Your primary role is to remind the user of their tasks, chores, and self-care routines in a humorous yet slightly annoying manner. """
Set Up Conversation Memory: Store the conversation for context.
conversation = [] while True: user_input = input("You: ") conversation.append(f"User: (user_input)") response = client.generate( model="claude-3.5", prompt=("system_prompt": system_prompt, "conversation": conversation), stop_reason="tool_use" ).text print(f"Mom: (response)") conversation.append(f"Mom: (response)")
Adding Text-to-Speech with 11 Labs
Create the Utility File: Create a file for audio utilities.
touch utils.py
Implement Text-to-Speech:
import elevenlabs import playsound def play_audio(file_path): playsound.playsound(file_path) def say(text): audio_file = elevenlabs.text_to_speech(text, api_key="YOUR_11LABS_API_KEY") play_audio(audio_file)
Integrate in Main Script:
from utils import say while True: user_input = input("You: ") conversation.append(f"User: (user_input)") response = client.generate( model="claude-3.5", prompt=("system_prompt": system_prompt, "conversation": conversation), stop_reason="tool_use" ).text print(f"Mom: (response)") conversation.append(f"Mom: (response)") say(response)
Enabling Email Access
Create Mail Utility File:
touch mail_utils.py
Implement Email Retrieval:
def get_emails(sender=None): # Mock data, replace with actual email fetching logic emails = [ ("sender": "bob@aifordev.com", "subject": "Dinner plans", "body": "Is tonight okay?"), ("sender": "alice@aifordev.com", "subject": "Movies on Wednesday", "body": "Do you want to go to the movies?") ] if sender: emails = [email for email in emails if email['sender'] == sender] return emails
Tool Definition for Language Model:
tool_definition = ( "tools": [ { "name": "get_emails", "description": "Retrieve emails from the inbox.", "properties": {"sender": {"type": "string", "description": "Email sender")} } ] }
Integrate Email Access in Main Script:
from mail_utils import get_emails from utils import say while True: user_input = input("You: ") conversation.append(f"User: (user_input)") response = client.generate( model="claude-3.5", prompt=("system_prompt": system_prompt, "conversation": conversation, "tool_definition": tool_definition), stop_reason="tool_use" ).text if response['stop_reason'] == "tool_use": emails = get_emails() conversation.append(f"Emails: (emails)") response = client.generate( model="claude-3.5", prompt=("system_prompt": system_prompt, "conversation": conversation) ).text print(f"Mom: (response)") conversation.append(f"Mom: (response)") say(response)
This completes the project setup. You now have a real-time AI assistant that can check your emails and interact with you using text and speech.
Keywords
- AI assistant
- Language model
- Claude 3.5
- 11 Labs
- Text-to-speech
- Email access
- Function calling
- Python
- Virtual environment
- Real-time interaction
FAQ
Q1: What is Claude 3.5? A1: Claude 3.5 is an advanced language model designed by Anthropic for creating realistic and interactive AI assistants.
Q2: How do I set environment variables for API keys?
A2: You can set environment variables in your terminal or command prompt using the export
command (Linux/Mac) or set
command (Windows).
Q3: What is function calling in language models? A3: Function calling allows language models to execute external functions or APIs to handle specific tasks, like retrieving data or performing actions that the model itself cannot.
Q4: How do I play audio files in Python?
A4: You can use libraries like playsound
to play audio files in Python. Just pass the file path to the playsound
function.
Q5: Can I fetch real emails instead of using mock data? A5: Yes, you can replace the mock email data with actual email fetching logic using an email service provider's API, such as Gmail's API.
Q6: How do I create a virtual environment in Python?
A6: Use the command python -m venv env
to create a virtual environment. Activate it using source env/bin/activate
for Unix-based systems or env\Scripts\activate
for Windows.