# -*- coding: utf-8 -*-
"""export_gradio_spaces.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1mI9gAr_Vtpl2mZsoZoRc56muGboXdsMi

# Chargement du modèle GPT-2 entrainé
"""


#import pip
import subprocess
import sys

def install(package):
    subprocess.check_call([sys.executable, "-m", "pip", "install", package])

install("typing-extensions")
install("gradio")
install("keras_nlp")

import os
from tensorflow import keras
import keras_nlp
#from google.colab import drive
import time
import re

#os.environ["KERAS_BACKEND"] = "tensorflow"  # or "tensorflow" or "torch"

#keras.mixed_precision.set_global_policy("mixed_float16")

#preprocessor = keras_nlp.models.GPT2CausalLMPreprocessor.from_preset(
#    "gpt2_medium_en",
#    sequence_length=128,
#)
#gpt2_lm = keras_nlp.models.GPT2CausalLM.from_preset(
#    "gpt2_medium_en", preprocessor=preprocessor
#)

#drive.mount('/content/drive', force_remount=True)
# GPT2 Base 1 epochs
#checkpoint_path = "./aloqas_model_checkpoints/cp.ckpt"
# GPT2 Base 3 epochs
#checkpoint_path = "./aloqas_model_checkpoints_gpt2base_3_epochs/cp.ckpt"
# GPT2 Base 3 epochs
#checkpoint_path = "./aloqas_model_checkpoints_gpt2medium_3_epochs/cp.ckpt"

#gpt2_lm.load_weights(checkpoint_path)

gpt2_lm = keras.models.load_model("aloqas_model_keras_gpt2medium_3epochs/aloqas_model_gpt2medium_3_epochs.keras")

"""# Chargement et configuration de gradio"""

"""
def generate_text(prompt):
    return gpt2_lm.generate(prompt, max_length=100)
"""

# Expérimental
def format_text(text, to_remove):
    # Function to format generated text
    # - removes the prompt from the answer
    # - removes unnecessary space chars before punctuation
    # - capitalize the first letter of each sentence
    text = text.replace(to_remove, '')
    text = re.sub(r' +,', ',', text) # comma
    text = re.sub(r' +\.', '.', text) # full stop
    text = '. '.join(sentence.strip().capitalize() for sentence in text.split('.'))

    return text

# Expérimental
def generate_text(prompt):
  output = gpt2_lm.generate(prompt, max_length=150)
  formatted_output = format_text(output, prompt)
  print("=====================================")
  print(f"DEBUG - GPT-2 Output : {output}\n")
  print(f"DEBUG - Formatted GPT-2 Output : {formatted_output}")
  return formatted_output

# CSS styles
css = """
@import url('https://fonts.googleapis.com/css2?family=Poppins&display=swap')
body, html {
  height: 100%;
  margin: 0;
  font-family : 'Poppins', sans-serif;
  # font-family: 'Arial', sans-serif;
}

:root{
  --body-background-fill: none !important;
}

body,html {
    background-color: #131722; /* Dark background color */
    color: #ffffff;
  }
  
/* Container for the entire chat interface */
#chat-interface {
  display: flex;
  flex-direction: column;
  max-width: 80%; /* Ensure maximum width */
  height: 100vh;
  justify-content: space-between;
  margin: 0 auto; /* Center the chat interface */
}

/* Container for the chat messages */
#chat-messages {
  flex-grow: 1;
  overflow-y: auto;
  background: none;
  border: 1px solid #627385 !important;
  max-height: 25%;
}

/* Styling for the chatbot bubble messages */
.gr-chatbot .chatbubble {
  max-width: 85%;
  margin-bottom: 12px;
  border-radius: 16px;
  padding: 12px 16px;
  position: relative;
  font-size: 1rem;
}

.gr-chatbot .chatbubble:before {
  content: '';
  position: absolute;
  width: 0;
  height: 0;
  border-style: solid;
}

/* Chatbot message bubble */
.gr-chatbot .bot .chatbubble {
  background-color: #2d3e55; /* Darker bubble background */
}

/* User message bubble */
.gr-chatbot .user .chatbubble {
  background-color: #4CAF50; /* Green bubble background */
}

/* Input area styling */
#input-area {
  display: flex;
  align-items: center;
  padding: 20px;
}

/* Text input field styling */
#input-area .gr-textbox {
  flex: 1;
  margin-right: 12px;
  padding: 12px 16px;
  border: 5px solid #627385;
  border-radius: 16px;
  font-size: 1rem;
}

/* Send button styling */
#input-area button {
  padding: 12px 20px;
  background-color: #4CAF50; /* Green button color */
  border: none;
  border-radius: 16px;
  cursor: pointer;
  font-size: 1rem;
  color: #fff;
}

/* Suggestion buttons styling */
.suggestion-btn {
  background-color: #2d3e55; /* Dark button color */
  color: #ffffff;
  padding: 10px 50px;
  margin: 5px;
  border: 2px solid #627385;
  border-radius: 20px;
  cursor: pointer;
  font-size: 14px;
  display: inline-block;
}

/* Suggestions container */
#suggestions {
  padding: 20px;
}

/* Style the avatar images if needed */
.gr-chatbot .gr-chatbot-avatar-image {
  border-radius: 50%;
}

/* Style for the chatbot avatar */
.gr-chatbot .bot .gr-chatbot-avatar-image {
  background-image: url('/content/drive/MyDrive/img/ALOQAS logo.png');
}

/* Style for the user avatar */
.gr-chatbot .user .gr-chatbot-avatar-image {
  background-image: url('/content/drive/MyDrive/img/pp discord copie.png');
}

/* Additional CSS for layout adjustments */
#header {
  display: flex;
  flex-direction: column;
  max-width: 100%; /* Ensure maximum width */
  gap: 20px;
  justify-content: center;
  align-items: center;
  margin: 0 auto; /* Center the chat interface */
}

#main-title {
  font-size: 2.5em;
  margin-bottom: 0.5em;
  color: #ffffff;
}

#sub-title {
  font-size: 1.5em;
  margin-bottom: 1em;
  color: #ffffff;
}

/* Adjust the chat interface to not grow beyond its container */
#chat-interface {
  flex: 1;
  overflow: auto; /* Add scrolling to the chat interface if needed */
}

.logo {
  width: 150px; /* Width of the logo */
  height: 150px; /* Height of the logo, should be equal to width for a perfect circle */
  background-image: url('https://github.com/LucasAguetai/ALOQAS/blob/main/Ressources/Gif%20Aloqas%20Logo.gif?raw=true');
  background-size: cover; /* Cover the entire area of the div without stretching */
  background-position: center; /* Center the background image within the div */
  border-radius: 50%; /* This will make it circular */
  display: inline-block; /* Allows the div to be inline with text and other inline elements */
  margin-bottom: 1em; /* Space below the logo */
}

.message{
  max-width: 50% !important;
}

.pending{
    max-width: 100% !important;
}

#input-area > *{
  padding: 0px;
  border: 3px solid #627385;
}

#input-area > * > *{
  padding: 0px;
  background-color: #091E37 !important;
}

#input-area > * * {
  border-radius: 0px !important;
}

.dark{
  --background-fill-primary: #091E37 !important;
}

.send{
  max-width: 10px;
  background-color: #627385 !important;
}
"""


import gradio as gr

theme = gr.themes.Base(primary_hue="slate")

suggestion = [
    "What are the latest advancements in cancer research ?",
    "What is the impact of diet on heart disease according to recent studies ?",
    "What are the usual causes of lung diseases ?"
]

def respond(message, chat_history):
    response = generate_text(message)
    chat_history.append((message,response+"."))
    return "",chat_history

def suggestion1(chat_history):
    response = generate_text(suggestion[0])
    chat_history.append((suggestion[0], response+"."))
    return chat_history

def suggestion2(chat_history):
    response = generate_text(suggestion[1])
    chat_history.append((suggestion[1], response+"."))
    return chat_history

def suggestion3(chat_history):
    response = generate_text(suggestion[2])
    chat_history.append((suggestion[2], response+"."))
    return chat_history

"""
chat_history.append((None, suggestion[2]))
chat_history.append((response, None))
"""
user_profile_image = "https://huggingface.co/spaces/ALOQAS/aloqas-gradio/resolve/main/img/user.png"
bot_profile_image = "https://huggingface.co/spaces/ALOQAS/aloqas-gradio/resolve/main/img/bot.png"
#theme=theme, css=css
with gr.Blocks(theme=theme, css=css) as demo:  # Suppression de 'css=css' si 'css' n'est pas défini
    gr.Markdown("""
    <div id='header'>
      <h1 id='main-title'>ALOQAS</h1>
      <div class='logo'></div>
    </div>
    """)
    with gr.Column(elem_id="chat-interface"):
        chat = gr.Chatbot( 
            elem_id="chat-messages",
            show_label=False,
            avatar_images=[user_profile_image,bot_profile_image],
            value=[[None,"Hi there ! I'm ALOQAS, a chatbot trained on over 119.000 PubMed scientific papers. Ask me anything about medicine or scientific research !"]]
        )
        with gr.Row(elem_id="suggestions"):
            sugg1 = gr.Button(suggestion[0], elem_classes="suggestion-btn").click(
                suggestion1, inputs=[chat], outputs=[chat]
            )
            sugg2 = gr.Button(suggestion[1], elem_classes="suggestion-btn").click(
                suggestion2, inputs=[chat], outputs=[chat]
            )
            sugg3 = gr.Button(suggestion[2], elem_classes="suggestion-btn").click(
                suggestion3, inputs=[chat], outputs=[chat]
            )
        with gr.Row(elem_id="input-area"):
            text_input = gr.Textbox(placeholder="Type a question, a sentence or keywords to ALOQAS...", show_label=False)
            text_input.submit(respond, inputs=[text_input, chat], outputs=[text_input,chat])
            
demo.launch(share=False)