import gradio as gr
import openai
import os

current_dir = os.path.dirname(os.path.abspath(__file__))
css_file = os.path.join(current_dir, "style.css")

initial_prompt = "Ești un asistent util."

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:
                line = line.replace("<", "&lt;")
                line = line.replace(">", "&gt;")
                lines[i] = '<br/>'+line.replace(" ", "&nbsp;")
    return "".join(lines)

def get_response(system, context, raw = False):
    openai.api_key = "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"
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[system, *context],
    )
    if raw:
        return response
    else:
        statistics = f'This conversation Tokens usage【{response["usage"]["total_tokens"]} / 4096】 （ Question + above {response["usage"]["prompt_tokens"]}，Answer {response["usage"]["completion_tokens"]} ）'
        message = response["choices"][0]["message"]["content"]

        message_with_stats = f'{message}'
#         message_with_stats = markdown.markdown(message_with_stats)

        return message, parse_text(message_with_stats)
        #return message

def predict(chatbot, input_sentence, system, context):
    if len(input_sentence) == 0:
        return []
    context.append({"role": "user", "content": f"{input_sentence}"})

    message, message_with_stats = get_response(system, context)

    context.append({"role": "assistant", "content": message})

    chatbot.append((input_sentence, message_with_stats))

    return chatbot, context

def retry(chatbot, system, context):
    if len(context) == 0:
        return [], []
    message, message_with_stats = get_response(system, context[:-1])
    context[-1] = {"role": "assistant", "content": message}

    chatbot[-1] = (context[-2]["content"], message_with_stats)
    return chatbot, context

def delete_last_conversation(chatbot, context):
    if len(context) == 0:
        return [], []
    chatbot = chatbot[:-1]
    context = context[:-2]
    return chatbot, context

def reduce_token(chatbot, system, context):
    context.append({"role": "user", "content": "请帮我总结一下上述对话的内容，实现减少tokens的同时，保证对话的质量。在总结中不要加入这一句话。"})

    response = get_response(system, context, raw=True)

    statistics = f'本次对话Tokens用量【{response["usage"]["completion_tokens"]+12+12+8} / 4096】'
    optmz_str = markdown.markdown( f'好的，我们之前聊了:{response["choices"][0]["message"]["content"]}\n\n================\n\n{statistics}' )
    chatbot.append(("请帮我总结一下上述对话的内容，实现减少tokens的同时，保证对话的质量。", optmz_str))
    
    context = []
    context.append({"role": "user", "content": "我们之前聊了什么?"})
    context.append({"role": "assistant", "content": f'我们之前聊了：{response["choices"][0]["message"]["content"]}'})
    return chatbot, context


def reset_state():
    return [], []

def update_system(new_system_prompt):
    return {"role": "system", "content": new_system_prompt}

title = """<h1 align="center">Tu întrebi și eu răspund.</h1>"""
description = """<div align=center>

Will not describe your needs to ChatGPT？You Use [ChatGPT Shortcut](https://newzone.top/chatgpt/)

</div>
"""

block = gr.Blocks(css=".gradio-container {background-color: #A238FF}")

with block as demo:
    gr.HTML(title)
    chatbot = gr.Chatbot().style(color_map=("#A238FF", "#A238FF"))
    
    context = gr.State([])
    
    systemPrompt = gr.State(update_system(initial_prompt))
    
    with gr.Row():
        with gr.Column(scale=12):
            txt = gr.Textbox(show_label=False, placeholder="Vă rugăm să introduceți oricare dintre întrebările dvs. aici.").style(container=False)
        with gr.Column(min_width=50, scale=1):
            submitBtn = gr.Button("🚀 Trimite", style={"bgcolor": "#FF0000"})
    
    with gr.Row():
        emptyBtn = gr.Button("🧹 Conversație nouă").style(
            css={
                "background-color": "#E0E0E0",
                "border-radius": "8px",
                "padding": "8px",
                "color": "black",
                "font-weight": "bold",
                "font-size": "1em",
                "cursor": "pointer",
            }
        )
        retryBtn = gr.Button("🔄 Retrimiteți").style(
            css={
                "background-color": "#E0E0E0",
                "border-radius": "8px",
                "padding": "8px",
                "color": "black",
                "font-weight": "bold",
                "font-size": "1em",
                "cursor": "pointer",
            }
        )
        delLastBtn = gr.Button("🗑️ Sterge conversația").style(
            css={
                "background-color": "#E0E0E0",
                "border-radius": "8px",
                "padding": "8px",
                "color": "black",
                "font-weight": "bold",
                "font-size": "1em",
                "cursor": "pointer",
            }
        )
    
    txt.submit(predict, [chatbot, txt, systemPrompt, context], [chatbot, context], show_progress=True)
    txt.submit(lambda :"", None, txt)
    
    submitBtn.click(predict, [chatbot, txt, systemPrompt, context], [chatbot, context], show_progress=True)
    submitBtn.click(lambda :"", None, txt)
    
    emptyBtn.click(reset_state, outputs=[chatbot, context])
    retryBtn.click(retry, [chatbot, systemPrompt, context], [chatbot, context], show_progress=True)
    delLastBtn.click(delete_last_conversation, [chatbot, context], [chatbot, context], show_progress=True)
    
    #demo.style(
    #    css={
    #        "background-color": "#F5F5F5",
    #        "font-family": "sans-serif",
    #        "padding": "20px",
    #        "border-radius": "8px",
    #        "box-shadow": "0px 2px 6px rgba(0,0,0,0.3)",
    #    }
    #)
    
    #demo.children[0].style(
    #    css={
    #        "text-align": "center",
    #        "font-size": "1.5em",
    #        "margin-bottom": "20px",
    #    }
    #)
    
    #gr.set_gradio_chart_theme(theme="light")

demo.launch()