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app.py

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+from dotenv import load_dotenv
+load_dotenv()
+import os
+from langchain.prompts import PromptTemplate
+from PyPDF2 import PdfReader
+import google.generativeai as genai
+import streamlit as st
+
+genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))
+
+def get_gemini_response(diff,topic,material):
+    prompt = f"""You are an expert teaching AI model with advanced knowledge of all programming languages.
+    Your task is to generate 10 open-ended questions of {diff} difficulty on the topic:{topic}.
+    The answer to these questions must be present in the following: {material}.\n\n
+    
+    <MESSAGE>:|"rate your responses on a scale on 1-10 based on your knowledge. if score is less than 4 generate
+    a new response. do not display the rating." """
+    # template = PromptTemplate(template=prompt,input_variables=['diff','topic','material'])
+    model=genai.GenerativeModel('gemini-pro')
+    response=model.generate_content(prompt)
+    return response.text
+
+
+st.set_page_config(page_title="Study Mate")
+
+col1,col2,col3=st.columns(3)
+with col1:
+    st.subheader("select difficulty")
+    diff=st.selectbox(" ",options=['Easy','Medium','Hard'])
+
+with col2:
+    st.subheader("Enter Topic")
+    topic=st.text_input("Enter topic of interest:")
+
+with col3:
+    st.subheader("upload study material:")
+    material=st.file_uploader('daldo bc kuch bhi isme:',type="pdf")
+text=""
+if material is not None:
+    # text=''
+    reader=PdfReader(material)
+    for page in reader.pages:
+        text+=page.extract_text()
+if st.button("generate"):
+    response=get_gemini_response(diff,topic,text)
+    print(response)
+    st.write(response)

requirements.txt

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+streamlit
+google-generativeai
+faiss-cpu
+langchain
+PyPDF2
+langchain_google_genai
+python-dotenv
+pypdf