Set Up Your OpenAI Account and API Key
- Sign up for an OpenAI account if you haven't already. Visit the OpenAI website and follow the prompts to create your account.
- After logging into your OpenAI account, navigate to the API section to generate your API key. This key is essential for accessing OpenAI's GPT services via API requests.
- Store your API key securely, as you'll need it for making requests from your Gmail account.
Enable Gmail API
- Go to the Google Cloud Platform (GCP) console and create a new project.
- Navigate to the API & Services dashboard and search for "Gmail API".
- Click on the "Enable" button to activate the Gmail API for your project.
- After enabling, you'll need to configure the OAuth consent screen, followed by creating credentials (OAuth client ID) to obtain your client ID and client secret.
Install Required Python Libraries
- Use Python's package manager pip to install the required libraries:
pip install openai google-auth google-auth-oauthlib google-auth-httplib2 google-api-python-client
Authenticate and Authorize with Gmail API
- Create a file named `credentials.json` and save your client ID and client secret obtained from the Google Cloud Console.
- Use the below Python script to authenticate and store the authorization token:
import os
import google.auth
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
import pickle
def gmail_authenticate():
SCOPES = ['https://www.googleapis.com/auth/gmail.readonly']
creds = None
if os.path.exists('token.pickle'):
with open('token.pickle', 'rb') as token:
creds = pickle.load(token)
if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file('credentials.json', SCOPES)
creds = flow.run_local_server(port=0)
with open('token.pickle', 'wb') as token:
pickle.dump(creds, token)
return creds
Integrate OpenAI GPT with Gmail
- Use the following script to connect OpenAI GPT with Gmail:
- This script reads your emails and processes them using OpenAI's GPT to generate a response:
import openai
from googleapiclient.discovery import build
# Set your OpenAI API key
openai.api_key = 'YOUR_OPENAI_API_KEY'
def get_gmail_service():
creds = gmail_authenticate()
service = build('gmail', 'v1', credentials=creds)
return service
def list_messages(service, query=''):
result = service.users().messages().list(userId='me', q=query).execute()
messages = result.get('messages', [])
return messages
def read_message(service, msg_id):
msg = service.users().messages().get(userId='me', id=msg_id).execute()
return msg
def generate_gpt_response(prompt):
response = openai.Completion.create(
engine="text-davinci-003",
prompt=prompt,
max_tokens=150
)
return response.choices[0].text.strip()
service = get_gmail_service()
messages = list_messages(service, query='label:INBOX is:unread')
for message in messages:
msg_id = message['id']
msg = read_message(service, msg_id)
email_content = msg['snippet']
response_prompt = f"Generate a response to the following email: {email_content}"
gpt_response = generate_gpt_response(response_prompt)
print('GPT Response:', gpt_response)
Automate Email Replies
- Add logic to parse and understand emails, then draft or send replies automatically. Ensure that each response generated by GPT is reviewed before sending.
- Consider implementing additional features, such as scheduling automated checks on unread emails, to make your integration more robust.