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"""A chatbot that uses the LangChain and Gradio UI to answer medical questions."""
import os
from types import SimpleNamespace
import gradio as gr
import wandb
from chain import get_answer, load_chain, load_vector_store
from config import default_config
class Chat:
"""A chatbot interface that persists the vectorstore and chain between calls."""
def __init__(
self,
config: SimpleNamespace,
):
"""Initialize the chatbot.
Args:
config (SimpleNamespace): The configuration.
"""
self.config = config
self.wandb_run = wandb.init(
project=self.config.project,
entity=self.config.entity,
job_type=self.config.job_type,
config=self.config,
)
self.vector_store = None
self.chain = None
def __call__(
self,
question: str,
history: list[tuple[str, str]] | None = None,
openai_api_key: str = None,
):
"""Answer a question about medical issues using the LangChain QA chain and vector store retriever.
Args:
question (str): The question to answer.
history (list[tuple[str, str]] | None, optional): The chat history. Defaults to None.
openai_api_key (str, optional): The OpenAI API key. Defaults to None.
Returns:
list[tuple[str, str]], list[tuple[str, str]]: The chat history before and after the question is answered.
"""
if openai_api_key is not None:
openai_key = openai_api_key
elif os.environ["OPENAI_API_KEY"]:
openai_key = os.environ["OPENAI_API_KEY"]
else:
raise ValueError(
"Please provide your OpenAI API key as an argument or set the OPENAI_API_KEY environment variable"
)
if self.vector_store is None:
self.vector_store = load_vector_store(
wandb_run=self.wandb_run, openai_api_key=openai_key
)
if self.chain is None:
self.chain = load_chain(
self.wandb_run, self.vector_store, openai_api_key=openai_key
)
history = history or []
question = question.lower()
response = get_answer(
chain=self.chain,
question=question,
chat_history=history,
)
history.append((question, response))
return history, history
with gr.Blocks() as demo:
gr.HTML(
"""<div style="text-align: center; max-width: 700px; margin: 0 auto;">
<div
style="
display: inline-flex;
align-items: center;
gap: 0.8rem;
font-size: 1.75rem;
"
>
<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
Virtual Medical Assistant
</h1>
</div>
<p style="margin-bottom: 10px; font-size: 94%">
Hi, I'm a virtual medical assistant that can answer your medical questions. Please start by typing in your OpenAI API key and medical questions/issues.<br>
Built using <a href="https://langchain.readthedocs.io/en/latest/" target="_blank">LangChain</a> and <a href="https://github.com/gradio-app/gradio" target="_blank">Gradio Github repo</a>
</p>
</div>"""
)
with gr.Row():
question = gr.Textbox(
label="Type in your medical questions here and press Enter!",
placeholder="What is diabetes?",
)
openai_api_key = gr.Textbox(
type="password",
label="Enter your OpenAI API key here",
)
state = gr.State()
chatbot = gr.Chatbot()
question.submit(
Chat(
config=default_config,
),
[question, state, openai_api_key],
[chatbot, state],
)
if __name__ == "__main__":
demo.queue().launch(
share=False, server_name="0.0.0.0", server_port=8884, show_error=True
)
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