Delete app_back.py

app_back.py

@@ -1,148 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Mon Dec 25 18:18:27 2023
-
-@author: alish
-"""
-
-import gradio as gr
-import fitz  # PyMuPDF
-import questiongenerator as qs
-import random
-
-from questiongenerator import QuestionGenerator
-qg = QuestionGenerator()
-
-
-
-def Extract_QA(qlist):
-        Q_All=''
-        A_All=''
-        
-        for i in range(len(qlist)):
-            question_i= qlist[i]['question']
-            Choices_ans= []
-            Choice_is_correct=[]
-            for j in range(4):
-               Choices_ans= Choices_ans+ [qlist[i]['answer'][j]['answer']]
-               Choice_is_correct= Choice_is_correct+ [qlist[i]['answer'][j]['correct']]
-               
-            Q=f"""
-                 Q_{i+1}: {question_i}
-                 A. {Choices_ans[0]}
-                 B. {Choices_ans[1]}
-                 C. {Choices_ans[2]}
-                 D. {Choices_ans[3]} 
-                                  
-                """
-            xs=['A','B','C','D']
-            result = [x for x, y in zip(xs, Choice_is_correct) if y ]
-            A= f"""
-                Answer_{i+1}: {result[0]}
-                
-                
-                """
-            Q_All= Q_All+Q
-            A_All=A_All+ A
-            
-            
-        return (Q_All,A_All)
-
-
-
-
-
-
-def extract_text_from_pdf(pdf_file_path):
-    # Read the PDF file
-    global extracted_text
-    text = []
-    with fitz.open(pdf_file_path) as doc:
-        for page in doc:
-            text.append(page.get_text())
-    extracted_text= '\n'.join(text)
-    extracted_text= get_sub_text(extracted_text)
-    
-    return ("The pdf is uploaded Successfully from:"+ str(pdf_file_path))
-
-qg = qs.QuestionGenerator()
-
-def get_sub_text(TXT):
-   sub_texts= qg._split_into_segments(TXT)
-   if isinstance(sub_texts, list):
-       return sub_texts
-   else:
-       return [sub_texts]
-
-def pick_One_txt(sub_texts):
-    global selected_extracted_text
-    N= len(sub_texts)
-    if N==1:
-       selected_extracted_text= sub_texts[0] 
-       return(selected_extracted_text)
-    # Generate a random number between low and high
-    random_number = random.uniform(0, N)    
-    # Pick the integer part of the random number
-    random_number = int(random_number)
-    selected_extracted_text= sub_texts[random_number]
-        
-    return(selected_extracted_text)
- 
-
-def pipeline(NoQs):
-    global Q,A
-    text= selected_extracted_text
-    qlist= qg.generate(text, num_questions=NoQs, answer_style="multiple_choice")
-    Q,A= Extract_QA(qlist)
-    A= A + '\n'+text
-    return (Q,A)
-
-def ReurnAnswer():
-    return A
-
-def GetQuestion(NoQs):
-    NoQs=int(NoQs)
-    pick_One_txt(extracted_text)
-    Q,A=pipeline(NoQs)
-    return Q
-
-with gr.Blocks() as demo:
-    
-
-    with gr.Row():
-        with gr.Column(scale=1):
-            with gr.Row():
-                gr.Image("PupQuizAI.png")            
-                gr.Markdown(""" 🐶 **PupQuizAI** is an Artificial-Intelligence tool that streamlines the studying process. Simply input a text pdf that you need to study from. Then, PupQuiz will create 1-5 custom questions for you to study from. 
-                
-                                🐶 Be patient! It might take minutes to run!
-                             """ )
-            
-            input_file=gr.UploadButton(label='Select a file!', file_types=[".pdf"])
-            input_file.upload(extract_text_from_pdf, input_file)
-            #upload_btn = gr.Button(value="Upload the pdf File.")
-            Gen_Question = gr.Button(value="Show Questions")
-            Gen_Answer = gr.Button(value="Show Answers")
-            No_Qs= gr.Slider(minimum=1, maximum=5,step=1, label='Max # of Questions')
-    
-            gr.Markdown(""" 🐶 
-                        **Instructions:**                     
-                        * Start by selecting a 'pdf' text file you want to upload by clicking the "Select file" button. (PupQuiz currently only supports files that can have highlightable text)
-                        * Select the number of questions you want generated from the "# of Questions" selector. 
-                        * Click "Show Questions" 
-                        * Then, if you want answers to the questions, select "Show Answers" """  )
-         
-            #gr.Image("PupQuizAI.png")
-            
-            
-            
-        with gr.Column(scale=2.0):
-            #file_stat= gr.Textbox(label="File Status")
-            question = gr.Textbox(label="Question(s)")
-            Answer = gr.Textbox(label="Answer(s)")
-
-    Gen_Question.click(GetQuestion, inputs=No_Qs, outputs=question, api_name="QuestioGenerator")
-    Gen_Answer.click(ReurnAnswer, inputs=None, outputs=Answer, api_name="QuestioGenerator")
-   
-
-demo.launch()