Upload app3.py

app3.py

@@ -0,0 +1,146 @@
+# -*- 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. 
+                             """ )
+            
+            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()