No Code, No Problem: How to Use Open Interpreter

Who doesn’t want to save time and make life easier? That’s exactly what new technology like Open Interpreter is designed for. It helps you interact with your computer to perform tasks like controlling your browser, editing files, or analyzing data remotely. The best part? Everything runs directly on your computer, so there are no worries about internet restrictions or file size limits. Plus, its natural language interface makes complex tasks simple. In this article, I’ll show you how to install Open Interpreter and explore its features with easy examples.

Step-By-Step Guide To Install Open Interpreter

Step 1: Satisfy the Prerequisites

Ensure you have the following prerequisites satisfied before installing the Open Interpreter:

• Python 3.10+: If you don’t have it already, you can download it from here.
• Required Packages: Install some necessary packages like openai or llama-cpp-python (for Llama models), and other dependencies like langchain. You can install any of these packages/dependencies by a simple command:

 

Step 2: Install Open Interpreter

Clone the Open Interpreter repository from GitHub:

pip3 install open-interpreter

Step 3: Configure API Key

Firstly, you need to create an API key for the model you will configure. I am using OpenAI, and you can create its API key by clicking here. Then, you need to set the API key as an environment variable using the following command:

export OPENAI_API_KEY="Your-API-key."

 
Doing this grants Open Interpreter access to your account, allowing it to utilize OpenAI or another specified model provider. Setting the key as an environment variable also makes it easier to update or switch between models, as you can change the environment variable without modifying your code directly.

Step 4: Run the Open Interpreter

You can interact with the open in a ChatGPT kind of interface by running the following command:

 
At this point, you have successfully installed Open Interpreter on your desktop or laptop. Now, let’s learn how to use the open interpreter using some examples.

Using Open Interpreter

 
Open Interpreter can handle various tasks ranging from a simple programming problem to more complex operations. Let’s discuss a few of them.
 

1. Simple Maths Calculations

You can use the open interpreter to perform maths calculations effortlessly by communicating in natural language, just like having a conversation. Let’s understand this with an example. We’ll perform a simple maths calculation of adding two numbers. Copy and paste the following command into your terminal:

Open Interpreter Output:
result=3+4
print(result)

2. Defining Functions

Open Interpreter allows you to define functions effortlessly. For example:

Hey, define a function that multiplies two numbers, then use it to multiply 3 and 7.

Open Interpreter Output:
 # Define a function that multiplies two numbers                              
 def multiply_numbers(a, b):                                                  
   return a * b                                                               
                                                                                
 # Use the function to multiply 3 and 7                                       
 result = multiply_numbers(3, 7)                                              
  print(result) 

3. Fetch Data From a URL

With Open Interpreter, you can easily fetch data from an API or URL.

Fetch the weather data for London using an API and tell the temperature

Open Interpreter Output:
   import requests                                                              
   url = "https://api.openweathermap.org/data/2.5/weather"                      
   params =                                                                    
       "q": "London",                                                           
       "appid": "YOUR_API_KEY", # replace with your OpenWeatherMap API key      
       "units": "metric"                                                        
                                                                               
   response = requests.get(url, params=params)                                  
   data = response.json()                                                       
   print(f"The current temperature in London is: data['main']['temp']°C")     

To run this code, you need to create your API key for OpenWeatherMap.

Code Output:
The current temperature in London is: 9.36°C

4. File Handling

You can use the open interpreter to perform I/O operations. Copy and paste the following into your terminal:

Create a text file named 'myfile.txt' and write 'Hello, I am learning how to use open interpreter' to it.

Open Interpreter Output:
  with open("myfile.txt", "w") as file:                                         
      file.write("Hello, I am learning how to use open interpreter")            
                                                                                
Would you like to run this code? (y/n)

Now type y into your terminal. The Open Interpreter will create the file and write the content to it. It will also display a confirmation message in the terminal, such as:

'myfile.txt' has been created in the current directory. The text 'Hello, I am learning how to use open interpreter' has been written to it.  

5. Plotting Graphs

You can ask the open interpreter to create visualizations using matplotlib.

Plot a sine wave from 0 to 10 using matplotlib.

Open Interpreter Output:
  import matplotlib.pyplot as plt                                               
  import numpy as np                                                            
                                                                                
  x = np.linspace(0, 10, 100)                                                   
  y = np.sin(x)                                                                 
                                                                                
  plt.plot(x, y)                                                                
  plt.title('Sine Wave')                                                        
  plt.xlabel('x')                                                               
  plt.ylabel('sin(x)')                                                          
  plt.grid(True)                                                                
  plt.show()                                                                    

 
Code Output
 

 

Wrapping Up

 
Open Interpreter is a versatile tool that can handle a wide range of tasks. This guide includes various examples to understand the usage of the open interpreter. However, for a better understanding, you can check out the working demo on Colab. Also, to explore its advanced usage, be sure to review the GitHub repository and its documentation for detailed guidance.
 
 

Kanwal Mehreen Kanwal is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. She co-authored the ebook “Maximizing Productivity with ChatGPT”. As a Google Generation Scholar 2022 for APAC, she champions diversity and academic excellence. She’s also recognized as a Teradata Diversity in Tech Scholar, Mitacs Globalink Research Scholar, and Harvard WeCode Scholar. Kanwal is an ardent advocate for change, having founded FEMCodes to empower women in STEM fields.