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app.py

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+import streamlit as st
+import google.generativeai as genai
+import os
+import PyPDF2 as pdf
+from dotenv import load_dotenv
+import json
+
+load_dotenv() ## load all our environment variables
+
+os.getenv("GOOGLE_API_KEY")
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+
+
+def get_gemini_response(input): 
+    model=genai.GenerativeModel('gemini-pro')
+    response=model.generate_content(input)      
+    return response.text
+
+def input_pdf_text(uploaded_file):
+    reader=pdf.PdfReader(uploaded_file)
+    text=""
+    for page in range(len(reader.pages)):
+        page=reader.pages[page]
+        text+=str(page.extract_text())
+    return text
+
+#Prompt Template
+
+input_prompt="""
+Act Like a skilled or very experience Teacher. Your task is to evaluate the answers in the test. You are a very very strict teacher. Here are the details:-
+Questions:{qs}
+Answers:{text}
+Rubric: {ٍrubric}
+Give your response in 4 seperate parts having the structure
+Marks:"%"
+Give a small message saying 'Good Job' or something based on percentage
+MissingKeywords:[]
+Tips to Improve the Student Marks:""}}
+"""
+
+## streamlit app
+st.title("AI AutoGrader")
+qs=st.text_area("Enter Test Questions")
+rubric=st.text_area("Enter Test Rubric")
+uploaded_file=st.file_uploader("Upload Answer Sheet",type="pdf",help="Please uplaod the pdf")
+
+submit = st.button("Submit")
+
+if submit:
+    if uploaded_file is not None:
+        text=input_pdf_text(uploaded_file)
+        response=get_gemini_response(input_prompt.format(text=text, qs=qs, rubric=rubric))
+        st.subheader(response)
+        

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv
+langchain
+PyPDF2
+chromadb
+pdf2image
+langchain_google_genai