SyntaxMorph is a Python module that enables code conversion between different programming languages
Project description
SyntaxMorph
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SyntaxMorph is a module that aims to facilitate the conversion between programming languages by utilizing OpenAI.
- Free software: GPLv3 license
- Github: https://github.com/Enderjua/SyntaxMorph
Features
- Determining which programming language a given code belongs to.
- Identifying the general structure of the given code.
- Converting the given code to the desired programming language.
- Aiming to collect a comprehensive dataset.
- Eliminating the dependency on OpenAI.
Developer
- Marijua @
enderjua gmail com
Quick Tutorial
.. code:: python
import openai
openai.api_key = "YOUR_API_KEY"
from morph import formatCode
from morph import columDetect
from morph import languageDetect
Language Detection
.. code:: python
code = " print('hello world') "
languageDetection = languageDetect.languageDetect(code)
print("Language Detected: "+languageDetection) # Python
.. parsed-literal::
Language Detected: Python
Colum Detection
~~~~~~~~~~~~
.. code:: python
code = " def main(a, b, c):
d = a+b+c
print(d)
main(5,7,9)"
columDetection = columDetect.columDetect(code)
print("Colum Detected: "+columDetection) # Function && Fonksiyon
.. parsed-literal::
Colum Detected: Fonksiyon
.. code:: python
print(columDetect.columDetect(code))
.. parsed-literal::
Function && Fonksiyon
Language translation
.. code:: python
code = " print('hello world') "
newCode = formatCode.formatDetected(languageDetection, code, 1, C++, columDetection)
print(newCode)
.. parsed-literal::
#include <iostream>
int main() {
std::cout << "Hello World!" << std::endl;
return 0;
}
Create a function for Flask API
main.py:
.. code:: python
import openai
openai.api_key = "YOUR_API_KEY"
from morph import formatCode as f
from morph import languageDetect as l
from morph import columDetect as c
def morphApi(code, lang):
language = l.languageDetect(code)
colum = c.columDetect(code)
newCode = f.formatDetected(language, code, 1, lang, colum)
return newCode
# code = morphApi("print('hello')", "C++")
# print(code)
.. parsed-literal::
#include <iostream>
int main() {
std::cout << "Hello World!" << std::endl;
return 0;
}
Create a Flask API
~~~~~~~~~~~~~~~~~~~~
.. code:: python
from flask import Flask, jsonify
from flask_cors import CORS
from urllib.parse import unqoute
app = Flask(__name__)
CORS(app)
@app.route('/translateAPI/<string:language>/<path:code>', methods=['GET'])
def translating(language2, code):
from main import morphApi
code = morphApi(code, language2)
return code
if __name__ = '__main__':
app.run(debug=True)
.. parsed-literal::
localhost:5000/translateAPI/C++/print('hello world')
#include <iostream>
int main() {
std::cout << "Hello World!" << std::endl;
return 0;
}
Future
~~~~~~~~
- We have set out on the process of training our own AI.
- We will share our AI for free here as a result of the AI training.
- We will ensure the independence of OpenAI.
Project details
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