Build a Code Converter Application using OpenAI GPT-3 API

 


Step 1: Set up your development environment

Before we begin, make sure that you have Python 3 and Flask installed on your system. You can check if you have Python 3 installed by running the following command in your terminal:

python3 --version

If you don't have Python 3 installed, you can download it from the official website. To install Flask, run the following command in your terminal:

pip3 install Flask


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Step 2: Create a new Flask project

Create a new directory for your Flask project and navigate into it:

mkdir code-converter

cd code-converter

Create a new file called app.py to hold the code for your Flask app:

touch app.py

Step 3: Set up your OpenAI API credentials

To use the OpenAI API, you'll need to sign up for an API key. Follow these steps to get your API key:

  1. Go to the OpenAI API dashboard and sign up for an account.
  2. Create a new API key.
  3. Copy your API key and save it somewhere safe.

Next, you'll need to install the openai package using pip:

pip3 install openai

Then, in your app.py file, import the openai package and set your API key:

from flask import Flask, render_template, request
import openai
import os

app = Flask(__name__)
openai.api_key = "YOUR-API-KEY"

Step 4: Create a Flask route to convert programming languages

In your app.py file, create a new Flask route to handle requests to convert programming languages. This route will take in the input code, source language, and target language, call the OpenAI API to convert the code, and return the converted code.

@app.route("/", methods=["GET"])
def index():
return render_template("index.html")

@app.route("/convert", methods=["POST"])
def translate():
if request.method == "POST":
source_language = request.form.get("source")
target_language = request.form.get("target")
code = request.form.get("code")

prompt = f"Translate this function from {source_language} into {target_language} ### {source_language} \n\n {code} \n\n ### {target_language}"

response = openai.Completion.create(
model="text-davinci-003",
prompt= prompt,
temperature=0,
max_tokens=1050,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=["###"]
)

output = response.choices[0].text
return render_template("translate.html", output=output)

if __name__ == '__main__':
app.run()

This code defines a new Flask route at /convert that expects a POST request with the input code, source language, and target language in JSON format. It calls the OpenAI API using the openai.Completion.create method, passing in the input code, source language, and target language as parameters. It then retrieves the converted code from the API response output.

Step 5: Create a Flask template for the input form

Create a new directory called templates in your folder and create index.html and translate.html

index.html

<!doctype html>
<html>
<head>
<title>Code Converter</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-aFq/bzH65dt+w6FI2ooMVUpc+21e0SRygnTpmBvdBgSdnuTN7QbdgL+OapgHtvPp" crossorigin="anonymous">
</head>
<body>
<center>
<h1 class="p-3 mb-2 bg-dark text-white">Code Converter</h1>
<div class="container">
<br>
<form action="/convert" method="post">
<div class="mb-3">
<label for="source_language" class="form-label">Source Language</label>
<select class="form-select" name="source" aria-label="Default select example">
<option selected>Python</option>
<option value="Javascript">Javascript</option>
<option value="Typescript">Typescript</option>
<option value="Java">Java</option>
<option value="Bash">Bash</option>
<option value="Shell">Shell</option>
<option value="Java">Java</option>
<option value="Go">Go</option>
<option value="PHP">PHP</option>
<option value="C#">C#</option>
<option value="C++">C++</option>
<option value="C">C</option>
<option value="Powershell">Powershell</option>
<option value="Ruby">Ruby</option>
<option value="Perl">Perl</option>
</select>
</div>
<div class="mb-3">
<label for="target_language" class="form-label">Target Language</label>
<select class="form-select" name="target" aria-label="Default select example">
<option selected>Python</option>
<option value="Javascript">Javascript</option>
<option value="Typescript">Typescript</option>
<option value="Java">Java</option>
<option value="Bash">Bash</option>
<option value="Shell">Shell</option>
<option value="Go">Go</option>
<option value="PHP">PHP</option>
<option value="C#">C#</option>
<option value="C++">C++</option>
<option value="C">C</option>
<option value="Powershell">Powershell</option>
<option value="Ruby">Ruby</option>
<option value="Perl">Perl</option>
</select>
</div>
<div class="mb-3">
<label for="input_code">Input Code</label><br>
<textarea class="form-control" name="code" rows="10" placeholder="Enter code"></textarea>
</div>
<button type="submit" class="btn btn-primary">Convert Code</button>
</form>
</div>
<div class="footer fixed-bottom bg-dark text-white">Developed by <a href="https://shawonruet.com" target="_blank">Shawon</a></div>
</center>
</body>
</html>

 translate.html

<!doctype html>
<html>
<head>
<title>Code Converter</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-aFq/bzH65dt+w6FI2ooMVUpc+21e0SRygnTpmBvdBgSdnuTN7QbdgL+OapgHtvPp" crossorigin="anonymous">
</head>
<body>
<center><h1 class="p-3 mb-2 bg-dark text-white">Code Converter</h1>
<div class="container">
<div class="mb-3">
<p class="alert alert-success" role="alert"> Converted Code </p>
<textarea disabled class="form-control" rows="15">{{ output }}</textarea>
</div>
</div>
<div class="footer fixed-bottom bg-dark text-white">Developed by <a href="https://shawonruet.com" target="_blank">Shawon</a></div>
</center>
</body>
</html>


 Now run the application using

 flask run

 Open your browser and type http://localhost:5000

 

Source code on Github: https://github.com/shawon100/code-converter

Demo: https://www.youtube.com/watch?v=dfaaIjZzW1s 

 

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About Ashadullah Shawon

I am Ashadullah Shawon. I am a Software Engineer. I studied Computer Science and Engineering (CSE) at RUET. I Like To Share Knowledge. Learn More: Click Here
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