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| import streamlit as st | |
| from dotenv import load_dotenv | |
| from PyPDF2 import PdfReader | |
| from langchain.text_splitter import CharacterTextSplitter | |
| from langchain.embeddings import OpenAIEmbeddings, HuggingFaceInstructEmbeddings | |
| from langchain.vectorstores import FAISS | |
| from langchain.chat_models import ChatOpenAI | |
| from langchain.memory import ConversationBufferMemory | |
| from langchain.chains import ConversationalRetrievalChain | |
| from htmlTemplates import css, bot_template, user_template | |
| from langchain.llms import HuggingFaceHub | |
| import os | |
| OPENAI_API_KEY=os.getenv('OPENAI_API_KEY') | |
| 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 = CharacterTextSplitter( | |
| separator="\n", | |
| chunk_size=1000, | |
| chunk_overlap=200, | |
| length_function=len | |
| ) | |
| chunks = text_splitter.split_text(text) | |
| return chunks | |
| def get_vectorstore(text_chunks): | |
| embeddings = OpenAIEmbeddings() | |
| # embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl") | |
| vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings) | |
| return vectorstore | |
| def get_conversation_chain(vectorstore): | |
| llm = ChatOpenAI() | |
| # llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature":0.5, "max_length":512}) | |
| memory = ConversationBufferMemory( | |
| memory_key='chat_history', return_messages=True) | |
| conversation_chain = ConversationalRetrievalChain.from_llm( | |
| llm=llm, | |
| retriever=vectorstore.as_retriever(), | |
| memory=memory | |
| ) | |
| return conversation_chain | |
| def handle_userinput(user_question): | |
| response = st.session_state.conversation({'question': user_question}) | |
| st.session_state.chat_history = response['chat_history'] | |
| for i, message in enumerate(st.session_state.chat_history): | |
| if i % 2 == 0: | |
| st.write(user_template.replace( | |
| "{{MSG}}", message.content), unsafe_allow_html=True) | |
| else: | |
| st.write(bot_template.replace( | |
| "{{MSG}}", message.content), unsafe_allow_html=True) | |
| def main(): | |
| load_dotenv() | |
| st.set_page_config(page_title="Chat with multiple PDFs", | |
| page_icon=":books:") | |
| st.write(css, unsafe_allow_html=True) | |
| if "conversation" not in st.session_state: | |
| st.session_state.conversation = None | |
| if "chat_history" not in st.session_state: | |
| st.session_state.chat_history = None | |
| st.header("Chat with multiple PDFs :books:") | |
| user_question = st.text_input("Ask a question about your documents:") | |
| if user_question: | |
| handle_userinput(user_question) | |
| with st.sidebar: | |
| st.subheader("Your documents") | |
| pdf_docs = st.file_uploader( | |
| "Upload your PDFs here and click on 'Process'", accept_multiple_files=True) | |
| if st.button("Process"): | |
| with st.spinner("Processing"): | |
| # get pdf text | |
| raw_text = get_pdf_text(pdf_docs) | |
| # get the text chunks | |
| text_chunks = get_text_chunks(raw_text) | |
| # create vector store | |
| vectorstore = get_vectorstore(text_chunks) | |
| # create conversation chain | |
| st.session_state.conversation = get_conversation_chain( | |
| vectorstore) | |
| if __name__ == '__main__': | |
| main() | |
| # Attempting uninstall: tokenizers | |
| # Found existing installation: tokenizers 0.15.2 | |
| # Uninstalling tokenizers-0.15.2: | |
| # Successfully uninstalled tokenizers-0.15.2 | |
| # Attempting uninstall: faiss-cpu | |
| # Found existing installation: faiss-cpu 1.8.0.post1 | |
| # Uninstalling faiss-cpu-1.8.0.post1: | |
| # Successfully uninstalled faiss-cpu-1.8.0.post1 | |
| # Attempting uninstall: python-dotenv | |
| # Found existing installation: python-dotenv 1.0.1 | |
| # Uninstalling python-dotenv-1.0.1: | |
| # Successfully uninstalled python-dotenv-1.0.1 | |
| # Attempting uninstall: pydantic | |
| # Found existing installation: pydantic 2.10.2 | |
| # Uninstalling pydantic-2.10.2: | |
| # Successfully uninstalled pydantic-2.10.2 | |
| # Attempting uninstall: protobuf | |
| # Found existing installation: protobuf 4.25.5 | |
| # Uninstalling protobuf-4.25.5: | |
| # Successfully uninstalled protobuf-4.25.5 | |
| # Attempting uninstall: torch | |
| # Found existing installation: torch 2.1.1 | |
| # Uninstalling torch-2.1.1: | |
| # Successfully uninstalled torch-2.1.1 | |
| # Attempting uninstall: tiktoken | |
| # Found existing installation: tiktoken 0.7.0 | |
| # Uninstalling tiktoken-0.7.0: | |
| # Successfully uninstalled tiktoken-0.7.0 | |
| # Attempting uninstall: huggingface-hub | |
| # Found existing installation: huggingface-hub 0.23.4 | |
| # Uninstalling huggingface-hub-0.23.4: | |
| # Successfully uninstalled huggingface-hub-0.23.4 | |
| # Attempting uninstall: dataclasses-json | |
| # Found existing installation: dataclasses-json 0.6.7 | |
| # Uninstalling dataclasses-json-0.6.7: | |
| # Successfully uninstalled dataclasses-json-0.6.7 | |
| # Attempting uninstall: transformers | |
| # Found existing installation: transformers 4.35.2 | |
| # Uninstalling transformers-4.35.2: | |
| # Successfully uninstalled transformers-4.35.2 | |
| # Attempting uninstall: openai | |
| # Found existing installation: openai 1.57.4 | |
| # Uninstalling openai-1.57.4: | |
| # Successfully uninstalled openai-1.57.4 | |
| # Attempting uninstall: langchain | |
| # Found existing installation: langchain 0.2.5 | |
| # Uninstalling langchain-0.2.5: | |
| # Successfully uninstalled langchain-0.2.5 | |
| # Attempting uninstall: sentence-transformers | |
| # Found existing installation: sentence-transformers 3.0.1 | |
| # Uninstalling sentence-transformers-3.0.1: | |
| # Successfully uninstalled sentence-transformers-3.0.1 | |
| # Attempting uninstall: altair | |
| # Found existing installation: altair 5.5.0 | |
| # Uninstalling altair-5.5.0: | |
| # Successfully uninstalled altair-5.5.0 | |
| # Attempting uninstall: streamlit | |
| # Found existing installation: streamlit 1.41.1 | |
| # Uninstalling streamlit-1.41.1: | |
| # Successfully uninstalled streamlit-1.41.1 |