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import streamlit as st |
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from streamlit_chat import message |
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import os |
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from utils import ( |
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parse_docx, |
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parse_pdf, |
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parse_txt, |
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parse_csv, |
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search_docs, |
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embed_docs, |
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text_to_docs, |
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get_answer, |
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get_sources, |
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wrap_text_in_html, |
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) |
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from openai.error import OpenAIError |
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def clear_submit(): |
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st.session_state["submit"] = False |
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def set_openai_api_key(api_key: str): |
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st.session_state["OPENAI_API_KEY"] = api_key |
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st.markdown('<h1>Chat with your Files </h1>', unsafe_allow_html=True) |
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st.markdown('<h1>Developed with LangChain and OpenAI Embeddings </h1>', unsafe_allow_html=True) |
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index = None |
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doc = None |
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with st.sidebar: |
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user_secret = st.text_input( |
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"OpenAI API Key", |
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type="password", |
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placeholder="Paste your OpenAI API key here (sk-...)", |
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help="You can get your API key from https://platform.openai.com/account/api-keys.", |
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value=st.session_state.get("OPENAI_API_KEY", ""), |
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) |
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if user_secret: |
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set_openai_api_key(user_secret) |
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uploaded_file = st.file_uploader( |
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"Upload a pdf, docx, or txt file", |
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type=["pdf", "docx", "txt", "csv"], |
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help="Scanned documents are not supported yet!", |
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on_change=clear_submit, |
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) |
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if uploaded_file is not None: |
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if uploaded_file.name.endswith(".pdf"): |
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doc = parse_pdf(uploaded_file) |
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elif uploaded_file.name.endswith(".docx"): |
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doc = parse_docx(uploaded_file) |
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elif uploaded_file.name.endswith(".csv"): |
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doc = parse_csv(uploaded_file) |
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elif uploaded_file.name.endswith(".txt"): |
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doc = parse_txt(uploaded_file) |
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else: |
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st.error("File type not supported") |
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doc = None |
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text = text_to_docs(doc) |
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try: |
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with st.spinner("Indexing document... This may take a while⏳"): |
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index = embed_docs(text) |
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st.session_state["api_key_configured"] = True |
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except OpenAIError as e: |
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st.error(e._message) |
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tab1, tab2 = st.tabs(["Chat with the File", "About the Application"]) |
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with tab1: |
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st.write('To obtain an API Key you must create an OpenAI account at the following link: https://openai.com/api/') |
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if 'generated' not in st.session_state: |
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st.session_state['generated'] = [] |
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if 'past' not in st.session_state: |
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st.session_state['past'] = [] |
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def get_text(): |
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if user_secret: |
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st.header("Ask me something about the document:") |
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input_text = st.text_area("You:", on_change=clear_submit) |
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return input_text |
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user_input = get_text() |
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button = st.button("Submit") |
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if button or st.session_state.get("submit"): |
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if not user_input: |
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st.error("Please enter a question!") |
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else: |
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st.session_state["submit"] = True |
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sources = search_docs(index, user_input) |
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try: |
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answer = get_answer(sources, user_input) |
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st.session_state.past.append(user_input) |
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st.session_state.generated.append(answer["output_text"].split("SOURCES: ")[0]) |
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except OpenAIError as e: |
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st.error(e._message) |
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if st.session_state['generated']: |
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for i in range(len(st.session_state['generated'])-1, -1, -1): |
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message(st.session_state["generated"][i], key=str(i)) |
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message(st.session_state['past'][i], is_user=True, key=str(i) + '_user') |
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with tab2: |
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st.write('Developed by </Shahnab>') |
