'''
ChatGPT + Robotics Gradio demo.
Author: Sai Vemprala

For details, please check out our blog post: https://aka.ms/ChatGPT-Robotics, and our paper:
https://www.microsoft.com/en-us/research/uploads/prod/2023/02/ChatGPT___Robotics.pdf

In this demo, we provide a quick way to interact with ChatGPT in robotics settings using some custom prompts.
As seen in our paper, we provide prompts for several scenarios: robot manipulation, drone navigation 
(in a simulated setting (airsim) as well as real life), and embodied AI. embodied_agent_closed_loop is an
experimental setting where observations from a scene can be described to ChatGPT as text.

Parts of the code were inspired by https://huggingface.co./spaces/VladislavMotkov/chatgpt_webui/

'''

import gradio as gr
from revChatGPT.V1 import Chatbot
import glob, os

access_token = None

def parse_text(text):
    lines = text.split("\n")
    for i,line in enumerate(lines):
        if "```" in line:
            items = line.split('`')
            if items[-1]:
                lines[i] = f'<pre><code class="{items[-1]}">'
            else:
                lines[i] = f'</code></pre>'
        else:
            if i>0:
                lines[i] = '<br/>'+line.replace(" ", "&nbsp;")
    return "".join(lines)

def configure_chatgpt(info): 
    access_token = info
    config = {}
    config.update({"access_token": access_token})

    global chatgpt
    chatgpt = Chatbot(config=config)

def ask(prompt):
    message = ""
    for data in chatgpt.ask(prompt):
        message = data["message"]
    return parse_text(message)
    
def query_chatgpt(inputs, history, message):
    history = history or []
    output = ask(inputs)
    history.append((inputs, output))
    return history, history, ''

def initialize_prompt(prompt_type, history):
    history = history or []
    
    if prompt_type:
        prompt_file = './prompts/' + str(prompt_type) + '.txt'

        with open(prompt_file, "r") as f:
            prompt = f.read()
        output = ask(prompt)
        history.append(("<ORIGINAL PROMPT>", output))
        
    return history, history  

def display_prompt(show, prompt_type):
    if not prompt_type:
        show = False
        return 'Error - prompt not selected'

    else:
        if show:
            prompt_file = './prompts/' + str(prompt_type) + '.txt'

            with open(prompt_file, "r") as f:
                prompt = f.read()

            return prompt
        else:
            return ''

with gr.Blocks() as demo:
    gr.Markdown("""<h3><center>ChatGPT + Robotics</center></h3>""")
    gr.Markdown(
        "This is a companion app to the work [ChatGPT for Robotics: Design Principles and Model Abilities](https://aka.ms/ChatGPT-Robotics). See [README](https://huggingface.co./spaces/microsoft/ChatGPT-Robotics/blob/main/README.md) for instructions.")

    if not access_token:
        gr.Markdown("""<h4>Login to ChatGPT</h4>""")
        with gr.Row():
            with gr.Group():
                info = gr.Textbox(placeholder="Enter access token here (from https://chat.openai.com/api/auth/session)", label="ChatGPT Login")
                with gr.Row():
                    login = gr.Button("Login")
                    login.click(configure_chatgpt, inputs=[info])
                    
    l=os.listdir('./prompts')
    li=[x.split('.')[0] for x in l]

    gr.Markdown("""<h4>Initial Prompt (based on scenario)</h4>""")
    prompt_type = gr.components.Dropdown(li, label="Select sample prompt", value=None) 
    
    show_prompt = gr.Checkbox(label="Display prompt")
    prompt_display = gr.Textbox(interactive=False, label="Prompt")
    show_prompt.change(fn=display_prompt, inputs=[show_prompt, prompt_type], outputs=prompt_display)
    
    initialize = gr.Button(value="Initialize")

    gr.Markdown("""<h4>Conversation</h4>""")
    chatgpt_robot = gr.Chatbot()
    message = gr.Textbox(placeholder="Enter query", label="")
    
    state = gr.State()
    
    initialize.click(fn=initialize_prompt, inputs=[prompt_type, state], outputs=[chatgpt_robot, state])
    
    message.submit(query_chatgpt, inputs=[message, state], outputs=[chatgpt_robot, state, message])

    demo.launch()