Create app.py

app.py

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+import streamlit as st
+from PyPDF2 import PdfReader
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+import google.generativeai as palm
+from langchain.embeddings import GooglePalmEmbeddings
+from langchain.llms import GooglePalm
+from langchain.vectorstores import FAISS
+from langchain.chains import ConversationalRetrievalChain
+from langchain.memory import ConversationBufferMemory
+import os
+
+os.environ['GOOGLE_API_KEY'] =   'AIzaSyAO1uqCO_1CTZV1zgIlUhk5Mv4Ey08cjzI'
+
+def get_pdf_text(pdf_docs):
+    text=""
+    for pdf in pdf_docs:
+        pdf_reader= PdfReader(pdf)
+        for page in pdf_reader.pages:
+            text+= page.extract_text()
+    return  text
+
+def get_text_chunks(text):
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=20)
+    chunks = text_splitter.split_text(text)
+    return chunks
+
+def get_vector_store(text_chunks):
+    embeddings = GooglePalmEmbeddings()
+    vector_store = FAISS.from_texts(text_chunks, embedding=embeddings)
+    return vector_store
+
+def get_conversational_chain(vector_store):
+    llm=GooglePalm()
+    memory = ConversationBufferMemory(memory_key = "chat_history", return_messages=True)
+    conversation_chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=vector_store.as_retriever(), memory=memory)
+    return conversation_chain
+
+def user_input(user_question):
+    response = st.session_state.conversation({'question': user_question})
+    st.session_state.chatHistory = response['chat_history']
+    for i, message in enumerate(st.session_state.chatHistory):
+        if i%2 == 0:
+            st.write("Human: ", message.content)
+        else:
+            st.write("Bot: ", message.content)
+def main():
+    st.set_page_config("Chat with Multiple PDFs")
+    st.header("Chat with Multiple PDF 💬")
+    user_question = st.text_input("Ask a Question from the PDF Files")
+    if "conversation" not in st.session_state:
+        st.session_state.conversation = None
+    if "chatHistory" not in st.session_state:
+        st.session_state.chatHistory = None
+    if user_question:
+        user_input(user_question)
+    with st.sidebar:
+        st.title("Settings")
+        st.subheader("Upload your Documents")
+        pdf_docs = st.file_uploader("Upload your PDF Files and Click on the Process Button", accept_multiple_files=True)
+        if st.button("Process"):
+            with st.spinner("Processing"):
+                raw_text = get_pdf_text(pdf_docs)
+                text_chunks = get_text_chunks(raw_text)
+                vector_store = get_vector_store(text_chunks)
+                st.session_state.conversation = get_conversational_chain(vector_store)
+                st.success("Done")
+
+
+
+if __name__ == "__main__":
+    main()