Python Project: AI-Based Assignment Completer

A small suite of Python scripts that generate C programs from prompts, create outputs and collect code into a .docx file.

1. File 1 — generator (generate C files)

Notes:

• Replace the API key placeholder on the line where openai.api_key is set with your own key, or set openai.api_key elsewhere in your environment.
• Create a prompt.txt file in the same directory with one question per line.
• Create a folder named programms in the same directory — generated C files will be placed there.

The Python code (unchanged):

import os
import openai

class Ai:
    number=0
    def automatedquery(self, query):
        '''this f(x) returns the responce generated by cahtgpt'''
        openai.api_key = "Your Api Key Here!"
        response = openai.Completion.create(
            model="text-davinci-003",
            prompt=query,
            temperature=0.7,
            max_tokens=256,
            top_p=1,
            frequency_penalty=0,
            presence_penalty=0
        )
        return(response["choices"][0]["text"])
    #i in this f(x) is for checking for errors in filename
    def writeanswers(self, query, i=0):
        self.number+=1
        with open(f'''programms//{self.number}.c''', "w") as fh:
            #responce from chatgpt
            result=self.automatedquery(f"{query} in c language without output and comments")
            #writing responce
            fh.write(f'''/*		program {self.number}
	{query}

Roll No - 2271268
Name- Rohit Singh
Course - BCA
Semester-II
Section-B
*/
{result}''')
        return 1

class FileItemList:
    def __init__(self, file):
        self.list=[]
        with open (file) as fh:
            self.list=(fh.read()).split("\n")

if __name__ == "__main__":
    questions=FileItemList("prompt.txt")
    assistant=Ai()
    for index, query in enumerate(questions.list):

        if assistant.writeanswers(query):
            print(f"{index+1} question written")
        else:
            print("something went wrong!")

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2. File 2 — output generator (generate outputs)

This script reads the generated C files and uses the AI to produce expected output. The code (unchanged):

from generate import Ai
import os

class Output:
    fileExtention=".c" #because i am doing it for c program
    def __init__(self, location):
        self.location=location
        if os.path.exists(self.location):
            self.list_of_programs=[i for i in os.listdir(self.location) if i.endswith(self.fileExtention)]
        else:
            self.list_of_programs=[]
            print(f"Location not found!")
    #to get output of program
    def getout(self, program):
        solver=Ai()
        output=solver.automatedquery(f'''generate the output of the following code if need of input give any- \n{program}''')
        return output
    #for all the files
    def outputall(self):
        for index,programms in enumerate(self.list_of_programs):
            with open(fr"{self.location}{programms}") as fh:
                program=fh.read()
            output=self.getout(program)
            with open(fr"{self.location}{programms}","a") as fh:
                fh.write(f'''\n/*\n{output}\n*/''')
            print(index+1, "output written")
        return 1

if __name__=="__main__":
    o=Output("/media/rohiyaa/link_between/c project/programms/")
    o.outputall()

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3. File 3 — collect code into a .docx

This script reads all generated .c files and appends their contents to file.docx. The code (unchanged):

import os

with open("file.docx", "a") as fh:
    l=[i for i in os.listdir("programms/") if i.endswith(".c")]
    #bubble sort
    for i in range(len(l)-1):
        for j in range(0, len(l)-i-1):
            if int(l[j][0:-2])>int(l[j+1][0:-2]):
                l[j], l[j+1]=l[j+1],l[j]
    for i in l:
        with open(f"programms/{i}") as f:
            fh.write(f.read())

Now you can print the file.docx. If you prefer, use .txt instead for cross-platform compatibility.

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