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MCQGenerator.py

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+import os 
+import json
+import pandas as pd
+import traceback
+import PyPDF2
+
+
+from dotenv import load_dotenv
+from langchain.chat_models import ChatOpenAI
+from langchain import PromptTemplate, LLMChain, OpenAI
+from langchain.chains import SequentialChain
+
+
+# load environment variables as mentioned in .env
+
+load_dotenv() 
+
+# geting envrionment variable like => os.environ
+key = os.getenv('OPENAI_API_KEY')
+
+# making openai object
+llm = ChatOpenAI(openai_api_key = key,model_name = 'gpt-3.5-turbo',temperature = 0.6)
+
+# creating Tempalate for PromptTemplate
+
+Template = '''
+
+You are a helpful MCQ Generater and u have been given a text : {text},
+
+You have to generate {number} mcq questions on {subject} and 
+level of difficulty should be {level} .
+
+The response should be kept the way it is given in RESPONSE_JSON and use it as guide
+
+### RESPONSE_JSON
+
+{response_json}'''
+
+quiz_prompt = PromptTemplate(
+    
+    input_variables = ['text','number','subject','level','response_json'],
+    template = Template
+)
+
+
+quiz_chain = LLMChain(llm = llm,prompt = quiz_prompt,output_key = 'quiz')
+
+
+Template2 = '''
+
+Quiz : {quiz} ,
+
+U are an english grammerian and writer 
+Task : Ur task is to anyalyse or review the quiz questions in the given quiz 
+quiz for the given subject : {subject},
+
+Just give a review about the quiz like how it is and 
+If the quiz doesn't fit with the cognitve abiltiy of the student then just change the 
+questions in the quiz and difficulty level of the quiz to make it fit
+'''
+
+# to check the complexity and review the quiz
+
+complex_prompt = PromptTemplate(
+    
+    input_variables = ['quiz','subject'],
+    template = Template2
+)
+
+complex_chain = LLMChain(llm = llm, prompt = complex_prompt, output_key = 'complexity')
+
+final_chain = SequentialChain(chains = [quiz_chain, complex_chain], input_variables = ['text','number','subject','level','response_json'],output_variables = ['quiz','complexity'])

util.py

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+
+import os
+import json
+import pandas as pd
+import PyPDF2
+import traceback
+
+
+def read_flie(file):
+    
+    if file.name.endswith('.pdf'):
+        try :
+           
+            pdf_content = PyPDF2.PdfFileReader(file)
+            
+            text = ''
+            
+            for page in pdf_content.pages:
+                text+=page
+            
+            return text
+        
+        except Exception as e :
+            raise Exception( 'error in reading the file >> Please try reuploading')
+    
+    elif file.name.endswith('.txt'):
+        
+        return file.read().decode('utf-8')
+    
+    else :
+        
+        raise Exception(
+            
+            'Not File desired format : only PDF and txt files are supported '
+        )
+        
+    
+def get_table_data(quiz_str):
+    
+    try : 
+    
+        quiz_dict = json.loads(quiz_str)
+                
+        table = []
+
+        for key,value in quiz_dict.items():
+                
+            print(key," | ",value)
+                
+            ques = value['question']
+            options = ' | '.join( 
+                [
+                    f"{option} : {options}"
+                    for option, options in value['options'].items()
+                        
+                    ]
+                )
+            correct = value['correct']
+            table.append({'ques':ques,'options' : options, 'correct' : correct})
+        
+        return table
+    
+    except Exception as e :
+        
+        # traceback.print(e)
+        
+        return False
+
+
+     
+