first

.env

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+OPENAI_API_KEY=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

app.py

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+import streamlit as st
+from PyPDF2 import PdfReader
+from streamlit_extras.add_vertical_space import add_vertical_space
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.vectorstores import faiss
+
+with st.sidebar:
+    st.title("File Research using LLM")
+    st.markdown(''' Upload your file and ask questions and do Research''')
+    add_vertical_space(5)
+    pdf=st.file_uploader('Upload your file (PDF)', type='pdf')
+    if pdf is not None:
+        pdf_reader=PdfReader(pdf)
+        text=""
+        for page in pdf_reader.pages:
+            text+=page.extract_text()
+        text_splitter=RecursiveCharacterTextSplitter(
+            chunk_size=1000,
+            chunk_overlap=200,
+            length_function=len
+        )
+        chunks=text_splitter.split_text(text)
+        embeddings=OpenAIEmbeddings()
+        vectorstore=faiss.FAISS.from_texts(chunks, embedding=embeddings)
+        
+        
+        
+        st.write(chunks)
+    st.write('Made by ALOK')
+
+def main():
+    st.header('Talk to your file')
+    
+if __name__=='__main__':
+    main()

requirements.txt

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+python==3.11.5
+langchain
+PyPDF2
+streamlit
+python-dotenv
+faiss-cpu
+streamlit-extras

test.py

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+print("hi")