markosveloso / langchain-agents-tutorial

Virtual Assistant with Langchain README

This is a basic guide on how to set up and run a virtual assistant project that connects to your calendar, email, and Twitter accounts using Langchain, Tweepy, and Zapier.

Prerequisites

1. Python 3.6 or higher
2. tweepy library
3. langchain library

To install the required libraries, run:

pip install -r requirements.txt

Setting up API keys

You need to obtain API keys for the following services:

1. Twitter Developer Account (for Tweepy)
2. OpenAI API key
3. Zapier NLA API key

Replace the placeholders in the code with the respective API keys:

consumer_key = "<CONSUMER_KEY>"
consumer_secret = "<CONSUMER_SECRET>"
access_token = "<ACCESS_TOKEN>"
access_token_secret = "<ACCESS_TOKEN_SECRET>"

llm = OpenAI(temperature=0, api_key="<OPENAI_API_KEY>")

zapier = ZapierNLAWrapper(zapier_nla_api_key="<ZAPIER_NLA_API_KEY>")

Running the program

1. Save the provided code in a file named main.py.
2. Open a terminal or command prompt and navigate to the folder containing main.py.
3. Run the program using the following command:

python main.py

4. The program will start an interactive session where you can type your messages to the virtual assistant. The assistant will respond to your queries based on the available tools and integrations.

Example usage

You can interact with the virtual assistant using natural language, as it is capable of understanding and executing actions based on your input.

Examples:

• "Post a tweet saying 'Hello, World!'"
• "Schedule a meeting tomorrow at 3 PM"
• "Send an email to [email protected] with the subject 'Meeting reminder' and the message 'Don't forget our meeting tomorrow at 3 PM.'"

To exit the program, press Ctrl+C or close the terminal window.