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import os |
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from typing import Optional, Tuple |
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import gradio as gr |
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import pickle |
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from query_data import get_chain |
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from threading import Lock |
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with open("vectorstore.pkl", "rb") as f: |
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vectorstore = pickle.load(f) |
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def set_openai_api_key(api_key: str): |
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"""Set the api key and return chain. |
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If no api_key, then None is returned. |
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""" |
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if api_key: |
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os.environ["OPENAI_API_KEY"] = api_key |
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chain = get_chain(vectorstore) |
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os.environ["OPENAI_API_KEY"] = "" |
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return chain |
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class ChatWrapper: |
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def __init__(self): |
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self.lock = Lock() |
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def __call__( |
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self, api_key: str, inp: str, history: Optional[Tuple[str, str]], chain |
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): |
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"""Execute the chat functionality.""" |
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self.lock.acquire() |
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try: |
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history = history or [] |
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if chain is None: |
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history.append((inp, "Please paste your OpenAI key to use")) |
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return history, history |
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import openai |
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openai.api_key = api_key |
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output = chain({"question": inp, "chat_history": history})["answer"] |
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history.append((inp, output)) |
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except Exception as e: |
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raise e |
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finally: |
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self.lock.release() |
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return history, history |
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chat = ChatWrapper() |
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block = gr.Blocks(css=".gradio-container {background-color: lightgray}") |
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with block: |
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with gr.Row(): |
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gr.Markdown("<h3><center>Chat-Your-Data (SMR4 publication)</center></h3>") |
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openai_api_key_textbox = gr.Textbox( |
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placeholder="Paste your OpenAI API key (sk-...)", |
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show_label=False, |
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lines=1, |
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type="password", |
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) |
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chatbot = gr.Chatbot() |
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with gr.Row(): |
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message = gr.Textbox( |
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label="What's your question?", |
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placeholder="Ask questions about the HHMI Publication: Deceleration of the cell cycle underpins a switch from proliferative to terminal divisions in plant stomatal lineage.", |
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lines=1, |
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) |
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submit = gr.Button(value="Send", variant="secondary").style(full_width=False) |
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gr.Examples( |
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examples=[ |
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"What is SMR4?", |
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"What is ACD?", |
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"What are the pink circles in some of the cells?", |
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], |
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inputs=message, |
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) |
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gr.HTML("Demo application of a LangChain chain.") |
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gr.HTML( |
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"<center>Powered by <a href='https://github.com/hwchase17/langchain'>LangChain 🦜️🔗</a></center>" |
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) |
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state = gr.State() |
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agent_state = gr.State() |
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submit.click(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state]) |
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message.submit(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state]) |
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openai_api_key_textbox.change( |
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set_openai_api_key, |
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inputs=[openai_api_key_textbox], |
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outputs=[agent_state], |
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) |
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block.launch(debug=True) |