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import gradio as gr |
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import os |
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import time |
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from langchain.embeddings.openai import OpenAIEmbeddings |
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from langchain.vectorstores import FAISS, Chroma |
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from langchain.chat_models.openai import ChatOpenAI |
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from langchain.chains import ConversationalRetrievalChain |
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from langchain.memory import ConversationBufferWindowMemory |
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persist_direcory = "openai_db_100chunksize" |
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embeddings = OpenAIEmbeddings() |
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chroma = Chroma(embedding_function=embeddings, persist_directory=persist_direcory) |
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retriever = chroma.as_retriever(search_kwargs={"k": 60}) |
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query = "what were the net sales of aws in the first quarter of 2023?" |
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print(retriever.get_relevant_documents(query)) |
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memory = ConversationBufferWindowMemory( |
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memory_key="chat_history", return_messages=False |
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) |
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qa = ConversationalRetrievalChain.from_llm( |
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llm=ChatOpenAI(model_name="gpt-4", temperature=0, streaming=True), |
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chain_type="stuff", |
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retriever=retriever, |
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memory=memory, |
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get_chat_history=lambda h: h, |
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verbose=False, |
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) |
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with gr.Blocks() as demo: |
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with gr.Row(): |
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gr.HTML("Chat on Earning calls using GPT") |
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with gr.Row(): |
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gr.HTML("Contact: mohamzaman@deloitte.com ngopidi@deloitte.com") |
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chatbot = gr.Chatbot() |
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msg = gr.Textbox() |
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clear = gr.Button("clear") |
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def user(user_message, history): |
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return "", history + [[user_message, None]] |
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def bot(history): |
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bot_message = qa.run({"question": history[-1][0], "chat_history": history[:-1]}) |
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history[-1][1] = "" |
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for character in bot_message: |
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history[-1][1] += character |
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time.sleep(0.05) |
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yield history |
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then( |
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bot, chatbot, chatbot |
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) |
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clear.click(lambda: None, None, chatbot, queue=False) |
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demo.queue() |
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demo.launch(share=False, server_name="0.0.0.0") |
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""" |
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Total net revenues of approximately $14.6 billion was up 6.1% on an |
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operational basis |
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what was the net revenue during the quarter? |
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The net revenue during the quarter was $14.6 billion. |
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how much did it increase percentage on opeational basis? |
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The percentage increase in net revenue on an operational basis during the quarter was 6.1%. |
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what was the 2022 adjusted earnings per share guidance ? |
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""" |
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