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.gitattributes

@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Documents/57.YOLO.pdf filter=lfs diff=lfs merge=lfs -text
+Documents/Live[[:space:]]Day[[:space:]]8-Understanding[[:space:]]LSTM[[:space:]]Network.pdf filter=lfs diff=lfs merge=lfs -text
+Documents/Object[[:space:]]Detection.pdf filter=lfs diff=lfs merge=lfs -text
+Documents/Tutorial[[:space:]]0[[:space:]]-Transformers[[:space:]]Indepth[[:space:]]Architecture[[:space:]]Understanding.pdf filter=lfs diff=lfs merge=lfs -text

Documents/57.YOLO.pdf

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+oid sha256:54bcd2dd05dc618849e8a94d8b88fe3eeb37f80e96e200600d38f1f733931678
+size 5296750

Documents/Live Day 8-Understanding LSTM Network.pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5b25a915160362e1211cde9af02441d83dee3186a126ba7b3faf3d9568ff9879
+size 4015787

Documents/Object Detection.pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f94f16dfee6cc05ed1b8efe3299525529c8ce12a3c7288a6c9b1e89175551932
+size 1666018

Documents/Tutorial 0 -Transformers Indepth Architecture Understanding.pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a1872ec7612c2bfe368e471bd55a9326381a638d6fe9bb6110505dfe70426892
+size 22923107

app.py

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+import streamlit as st
+import os
+from langchain_groq import ChatGroq
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.chains.combine_documents import create_stuff_documents_chain
+from langchain_core.prompts import ChatPromptTemplate
+from langchain.chains import create_retrieval_chain
+from langchain_community.vectorstores import FAISS
+from langchain_community.document_loaders import PyPDFDirectoryLoader
+from langchain_google_genai import GoogleGenerativeAIEmbeddings
+from dotenv import load_dotenv
+import os
+import time
+load_dotenv()
+
+## load the GROQ And OpenAI API KEY 
+groq_api_key=os.getenv('GROQ_API_KEY')
+os.environ["GOOGLE_API_KEY"]=os.getenv("GOOGLE_API_KEY")
+
+llm=ChatGroq(groq_api_key=groq_api_key, model_name="Llama3-8b-8192") # Gemma2-9b-it Gemma-7b-it
+
+prompt=ChatPromptTemplate.from_template(
+"""
+Answer the questions based on the provided context only.
+Please provide the most accurate response based on the question
+<context>
+{context}
+<context>
+Questions:{input}
+"""
+)
+
+def vector_embedding():
+    if "vectors" not in st.session_state:
+        st.session_state.embeddings=GoogleGenerativeAIEmbeddings(model = "models/embedding-001")
+        st.session_state.loader=PyPDFDirectoryLoader("./Documents") ## Data Ingestion
+        st.session_state.docs=st.session_state.loader.load() ## Document Loading
+        st.session_state.text_splitter=RecursiveCharacterTextSplitter(chunk_size=1000,chunk_overlap=200) ## Chunk Creation
+        st.session_state.final_documents=st.session_state.text_splitter.split_documents(st.session_state.docs[:20]) #splitting
+        st.session_state.vectors=FAISS.from_documents(st.session_state.final_documents,st.session_state.embeddings) #vector OpenAI embeddings
+
+
+st.header("Rag Model with multiple documents ChatBot")
+prompt1=st.text_input("Enter Your Question From Doduments")
+
+if prompt1:
+    document_chain=create_stuff_documents_chain(llm,prompt)
+    retriever=st.session_state.vectors.as_retriever()
+    retrieval_chain=create_retrieval_chain(retriever,document_chain)
+    start=time.process_time()
+    response=retrieval_chain.invoke({'input':prompt1})
+    print("Response time :",time.process_time()-start)
+    st.write(response['answer'])
+
+with st.sidebar:
+    st.title("Menu:")   
+    if st.button("Documents Embedding"):
+        with st.spinner("Processing..."):
+            vector_embedding()
+            st.write("Vector Store DB Is Ready")
+
+
+footer = """
+---
+#### Made By [Surat Banerjee](https://www.linkedin.com/in/surat-banerjee/)
+For Any Queries, Reach out on [Portfolio](https://suratbanerjee.wixsite.com/myportfoliods)  
+"""
+
+st.markdown(footer, unsafe_allow_html=True)

requirements.txt

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+faiss-cpu
+groq
+langchain-groq
+PyPDF2
+langchain_google_genai
+langchain
+streamlit
+langchain_community
+python-dotenv
+pypdf
+google-cloud-aiplatform>=1.38