app.py

from pathlib import Path

from dotenv import load_dotenv

load_dotenv()

import json
import os
from functools import partial
from pathlib import Path
from pprint import pprint

import gradio as gr
from langchain.chat_models import ChatOpenAI
from langchain.prompts import (HumanMessagePromptTemplate,
                               PromptTemplate, SystemMessagePromptTemplate)

# import whisper

# model = whisper.load_model("base", device="cuda")


system_message_prompt = SystemMessagePromptTemplate(
    prompt=PromptTemplate(
        input_variables=["patient"],
        template=Path("prompts/patient.prompt").read_text(),
    )
)

human_template = "Doctor: {text}"
human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)

chat = ChatOpenAI(temperature=0.7)

with open("data/patients.json") as f:
    patiens = json.load(f)

patients_names = [el["name"] for el in patiens]


def run_text_prompt(message, chat_history, messages):
    if not messages:
        messages = []
        messages.append(system_message_prompt.format(patient=patient))
    messages.append(human_message_prompt.format(text=message))
    messages.append(chat(messages))
    pprint(messages)
    chat_history.append((message, messages[-1].content))
    return "", chat_history, messages


def on_clear_button_click(patient, messages):
    messages = [system_message_prompt.format(patient=patient)]
    return [], messages


def on_drop_down_change(selected_item, messages):
    index = patients_names.index(selected_item)
    patient = patiens[index]
    messages = [system_message_prompt.format(patient=patient)]
    print(f"You selected: {selected_item}", index)
    return f"```json\n{json.dumps(patient, indent=2)}\n```", patient, [], messages


with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    messages = gr.State([])
    patient = gr.State(patiens[0])

    with gr.Row():
        with gr.Column():
            msg = gr.Textbox()
            msg.submit(
                run_text_prompt,
                [msg, chatbot, messages],
                [msg, chatbot, messages],
            )
            clear = gr.Button("Clear")
            clear.click(
                on_clear_button_click,
                [patient, messages],
                [chatbot, messages],
                queue=False,
            )

        with gr.Column():
            patients_names = [el["name"] for el in patiens]
            dropdown = gr.Dropdown(
                choices=patients_names,
                value=patients_names[0],
                interactive=True,
                label="Patient",
            )
            markdown = gr.Markdown(
                f"```json\n{json.dumps(patient.value, indent=2)}\n```"
            )
            dropdown.change(
                fn=on_drop_down_change,
                inputs=[dropdown, messages],
                outputs=[markdown, patient, chatbot, messages],
            ),
# demo.launch(debug=True)