# version - ArcticMonkeys:30.07.24

# python core libraries
import re
import psutil
import time
import random
# streamlit
import streamlit as st
# components from other authors
from streamlit_mic_recorder import mic_recorder
# core modules
from audio_processing.A2T import A2T
from audio_processing.T2A import T2A
from llm.utils.chat import Conversation
from vlm.vlm import VLM
# utils modules
from utils.keywords import keywords
from utils.prompt_toggle import select_prompt, load_prompts
from utils.documentation import create_hand_gesture_doc
from utils.image_caption import ImageCaption

prompts = load_prompts()
chat = Conversation()
t2a = T2A()
vlm = VLM()
ic = ImageCaption()

def remove_labels_with_regex(text: str):
    pattern = r'^(Human:|AI:|Chelsea:)\s*'
    cleaned_text = re.sub(pattern, '', text, flags=re.MULTILINE)
    return cleaned_text

def exctrator(sentence, phrase="show me your image"):
    extracted_text = sentence.split(phrase)[1].strip() if phrase in sentence else ""
    return extracted_text

def switching(text):
    command = re.search("show me your image", text.lower(), re.IGNORECASE)
    result = None

    if command:
        prompt = exctrator(text.lower())
        # Завантажуємо зображення
        uploaded_image = ic.load_image()

        if uploaded_image is not None:
            # Якщо зображення завантажено, виконуємо обробку
            result = ic.send2ai(model=vlm, prompt=prompt)
        else:
            # Якщо зображення ще не завантажене, показуємо попередження
            st.warning("No image uploaded yet. Please upload an image to continue.")
    else:
        prompt = select_prompt(input_text=text, prompts=prompts, keywords=keywords)
        result = chat.chatting(prompt=prompt if prompt is not None else text)

    print(f"Prompt:\n{prompt}")
    prompt = None
    return result


def main():
    try:
        mic = mic_recorder(start_prompt="Record", stop_prompt="Stop", just_once=True, use_container_width=True)
        if mic is not None:
            start_time = time.perf_counter()
            a2t = A2T(mic["bytes"])
            text = a2t.predict()
            print(f"Text from A2T:\n{text}")
            execution_time = time.perf_counter() - start_time
            print(f"App.py -> main() -> time of execution A2T -> {execution_time}s")

            output = switching(text)
            response = remove_labels_with_regex(text=output)
            start_time_t2a = time.perf_counter()
            t2a.autoplay(response)
            execution_time_t2a = time.perf_counter() - start_time_t2a
            print(f"App.py -> main() -> time of execution T2A -> {execution_time_t2a}s")
            print(ic.pil_image)

            if response:
                st.markdown(f"Your input: {text}")
                st.markdown(f"Chelsea response: {response}")
                
                if ic.pil_image is not None:
                    st.image(ic.pil_image, caption="Uploaded Image", use_column_width=True)
                response = None
                
    except Exception as e:
        print(f"An error occurred in main finction, reasone is: {e}")

if __name__ == "__main__":
    print(f"Total Memory: {psutil.virtual_memory().total / (1024**3):.2f} GB")
    print(f"Available Memory: {psutil.virtual_memory().available / (1024**3):.2f} GB")
    print(f"CPU Cores: {psutil.cpu_count()}")
    print(f"CPU Usage: {psutil.cpu_percent()}%")
    main()
    footer="""
        <style>
            /* Common styles for the footer */
            .footer {
                position: fixed;
                left: 0;
                bottom: 0;
                width: 100%;
                height: 60px; /* Set a fixed height for consistency */
                font-size: 14px; /* Adjust font size for readability */
                text-align: center;
                padding: 15px 0; /* Reduced padding */
                transition: color 0.3s, background-color 0.3s;
            }
        
            .footer p {
                margin: 0; /* Remove default margins */
                font-size: 18px; /* Adjust font size as needed */
            }
        
            a:link, a:visited {
                text-decoration: dotted;
                color: inherit; /* Use current text color */
            }
        
            a:hover, a:active {
                background: linear-gradient(to right, #ffe44d, #ffdd1a, #ffd700, #ffd900);
                -webkit-text-fill-color: transparent;
                -webkit-background-clip: text;
            }
        
            .footer a:hover {
                color: #ff4500; /* Different hover color */
            }
        
            /* Light mode styles */
            @media (prefers-color-scheme: light) { 
                a:link, a:visited {
                    color: #0056b3; /* Blue color for links */
                }
        
                .footer a:hover {
                    color: #ff4500; /* Hover color for light mode */
                }
            }
        
            /* Dark mode styles */
            @media (prefers-color-scheme: dark) {        
                a:link, a:visited {
                    color: #ffd700; /* Gold color for links in dark mode */
                }
        
                .footer a:hover {
                    color: #ffa500; /* Hover color for dark mode */
                }
            }
        </style>
        
        <div class="footer">
            <p>Please support the project on <a href="https://buymeacoffee.com/cineai" target="_blank">Buy Me a Coffee</a></p>
        </div>
        """
    # st.markdown(footer,unsafe_allow_html=True)