Upload 4 files

Response.json

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+{
+    "1": {
+        "question": "the mcq question",
+        "options": {
+            "A": "choice here",
+            "B": "choice here",
+            "C": "choice here",
+            "D": "choice here"
+        },
+        "correct": "correct choice"
+    },
+    "2": {
+        "question": "the mcq question",
+        "options": {
+            "A": "choice here",
+            "B": "choice here",
+            "C": "choice here",
+            "D": "choice here"
+        },
+        "correct": "correct choice"
+    },
+    "3": {
+        "question": "the mcq question",
+        "options": {
+            "A": "choice here",
+            "B": "choice here",
+            "C": "choice here",
+            "D": "choice here"
+        },
+        "correct": "correct choice"
+    },
+    "4": {
+        "question": "the mcq question",
+        "options": {
+            "A": "choice here",
+            "B": "choice here",
+            "C": "choice here",
+            "D": "choice here"
+        },
+        "correct": "correct choice"
+    }
+}

StreamlitAPP.py

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+import os 
+import json
+import pandas as pd
+import traceback
+import PyPDF2
+import streamlit as st
+from src.mcq_gen.util import read_flie, get_table_data
+from src.mcq_gen.MCQGenerater import final_chain
+from dotenv import load_dotenv
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+from langchain.llms import OpenAI
+
+from langchain.callbacks import get_openai_callback
+from langchain.chains import SequentialChain    
+
+
+st.set_page_config(page_title = "MCQ Generater", page_icon='https://archive.org/download/github.com-langchain-ai-langchain_-_2023-09-20_11-56-54/cover.jpg')
+
+st.title("🤖 MCQ Generater 🦜🔗")
+
+st.image('https://miro.medium.com/v2/resize:fit:1400/1*odEY2uy37q-GTb8-u7_j8Q.png')
+
+
+with open('D:\Project\Response.json','r') as f:
+    RESPONSE_JSON = json.load(f)
+
+
+# taking inputs
+
+with st.form("user inputs") :
+    
+    # file upload
+    
+    uploaded_file = st.file_uploader('upload PDF or txt File 👨‍🚀')
+    
+    # number of mcq
+    
+    num_mcq = st.number_input('no. of mcq 🎯',min_value = 2,max_value = 70)
+    
+    # subject
+    
+    subject = st.text_input('subject 📚',max_chars = 50)
+    
+    level = st.text_input('level of hardness 👩🏻‍💻', max_chars = 25, placeholder = 'simple')
+    
+    submit = st.form_submit_button("Create")
+    
+if uploaded_file and submit is not None and subject and level and num_mcq : 
+    
+    with st.spinner('loading...😎') :
+    
+        try : 
+            
+            # calling the read_file func in utils and it will the uploaded doc text
+            text = read_flie(uploaded_file)
+            with get_openai_callback() as cb :
+            
+                response = final_chain(
+                    {
+                        'text' : text,
+                        'number' : num_mcq,
+                        'subject' : subject,
+                        'level' : level,
+                        'response_json' : json.dumps(RESPONSE_JSON)
+                    }
+                ) 
+        except Exception as e :
+            raise Exception('Error coming : Try again later 🕵️‍♀️')
+        
+        else :
+            
+            # print(response)
+            if isinstance(response,dict):
+                # make the DataFrame
+                
+                quiz = response.get('quiz',None)
+                
+                if quiz is not None :
+                    
+                    table_data = get_table_data(quiz)
+                    
+                    if table_data is not None :
+                    
+                        df = pd.DataFrame(table_data)
+                        df.index = df.index+1 # index in the table/df start from 1 and not from 0 
+                        st.table(df)
+                        
+                        
+                        # displaying review as well
+                        
+                        st.header('Review 🧙🏽')
+                        st.text_area(label = ' ',value=response['complexity'])
+                    
+                    else :
+                        st.error("Sorry : There is an Error in Table Data 🕵️‍♀️")
+                        
+                else :
+                    
+                    st.error("Sorry : Error in Quiz 🕵️‍♀️")
+            
+            else :
+                
+                st.write(response)
+                
+        
+      
+    
+        
+        
+        
+        
+        
+
+

requirements.txt

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+openai
+langchain
+python-dotenv
+PyPDF2
+streamlit
+
+-e .

setup.py

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+from setuptools import setup,find_packages
+
+# find_packages - automatically detect the local packages
+
+setup(
+    
+    name = 'mecq_gen',
+    version='0.0.1',
+    description='Creating the projcet : MCQ Generater',
+    author='Yukti Kashyap',
+    author_email='kashyapyukti12@gmail.com',
+    install_requires=['openai','langchain','streamlit','python-dotenv','PyPDF2'],
+    packages=find_packages()
+)