import gradio as gr
import pandas as pd
import uuid
import shutil
import re
import os
import tempfile
from sentence_transformers import SentenceTransformer, util

# Load Bhagavad Gita dataset
df = pd.read_csv("bhagavad_gita.csv")

# Load sentence transformer and precompute embeddings
model = SentenceTransformer("all-MiniLM-L6-v2")
verse_embeddings = model.encode(df['meaning_in_english'].tolist(), convert_to_tensor=True)

# Temporary directory for audio and downloads
TEMP_DIR = tempfile.mkdtemp()

# Background music file path
bg_music_path = "krishna_bg_music.mp3"

def shorten_explanation(text, max_sentences=2):
    sentences = text.split('. ')
    shortened = '. '.join(sentences[:max_sentences]).strip()
    if not shortened.endswith('.'):
        shortened += '.'
    return shortened

def create_downloadable_text(question, verse_number, sanskrit, translation, explanation):
    assurance = "🌼 Remember, Krishna always walks with you, guiding and protecting."
    content = f"""Your Question:
{question}

📖 Bhagavad Gita Verse {verse_number}:
[translate:{sanskrit}]

Translation:
{translation}

Explanation:
{explanation}

{assurance}
"""
    filename = os.path.join(TEMP_DIR, f"gita_response_{uuid.uuid4()}.txt")
    with open(filename, 'w', encoding='utf-8') as f:
        f.write(content)
    return filename

def versewise_bot(question, play_music):
    if not question.strip():
        return "Please ask a valid question.", None, None, None

    query_embedding = model.encode(question, convert_to_tensor=True)
    similarity_scores = util.pytorch_cos_sim(query_embedding, verse_embeddings)[0]
    idx = similarity_scores.argmax().item()
    verse = df.iloc[idx]

    sanskrit = verse['verse_in_sanskrit']
    translation = verse['translation_in_english']
    explanation = shorten_explanation(verse['meaning_in_english'])
    verse_number = verse['verse_number']

    reply = (
        f"📖 Bhagavad Gita {verse_number}\n\n"
        f"🕉 \"[translate:{sanskrit[:60]}...]\"\n\n"
        f"\"{translation}\"\n\n"
        f"🕊 {explanation}\n\n"
        "🌼 Stay strong — Krishna walks with you."
    )

    # Play background music only if toggled and file exists
    music_path = None
    if play_music and os.path.exists(bg_music_path):
        unique_bgm_path = os.path.join(TEMP_DIR, f"bgm_{uuid.uuid4()}.mp3")
        try:
            shutil.copy(bg_music_path, unique_bgm_path)
            music_path = unique_bgm_path
        except Exception as e:
            print(f"BGM copy error: {e}")

    download_file = create_downloadable_text(question, verse_number, sanskrit, translation, explanation)

    # No Krishna voice, so audio output set to None
    return reply, None, music_path, download_file

def get_quote_of_the_day():
    verse = df.sample(1).iloc[0]
    sanskrit = verse['verse_in_sanskrit']
    translation = verse['translation_in_english']
    verse_number = verse['verse_number']
    return f"""<div style="font-size:1.1em;padding:10px 0;">
<b>Quote of the Day (Gita {verse_number}):</b><br>
<i>[translate:{sanskrit[:60]}...]</i><br>
<span style="color:#2d2d2d;">"{translation}"</span></div>"""

custom_css = """
body, .gradio-container, .gradio-interface, html {
  background-image: url('https://static.vecteezy.com/system/resources/previews/022/592/272/large_2x/image-of-divine-beautiful-closed-eyes-blue-colored-krishna-generative-ai-free-photo.jpeg') !important;
  background-size: cover !important;
  background-repeat: no-repeat !important;
  background-position: center center !important;
  background-attachment: fixed !important;
}
.gradio-container, .gradio-interface {
  background-color: rgba(255,255,255,0.92) !important;
  border-radius: 18px;
  padding: 25px;
  max-width: 760px;
  box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
  margin: auto;
}
@media only screen and (max-width: 768px) {
  .gradio-container {
    width: 95% !important;
    padding: 15px !important;
  }
}
input[type="text"], textarea {
  font-size: 16px !important;
}
"""

interface = gr.Interface(
    fn=versewise_bot,
    inputs=[
        gr.Textbox(label="Ask Krishna", placeholder="Why am I struggling in life?", lines=2),
        gr.Checkbox(label="Play Background Music", value=True)
    ],
    outputs=[
        gr.Textbox(label="🧘‍♂ Krishna's Answer"),
        gr.Audio(label="🔊 Krishna’s Voice", visible=False, type="filepath"),
        gr.Audio(label="🎶 Background Music", autoplay=True, type="filepath"),
        gr.DownloadButton(label="Download Response with Assurance")
    ],
    title="🕉 VerseWise - Divine Wisdom from the Gita",
    description="Ask any question, and receive a verse from the Bhagavad Gita with divine guidance.",
    article=get_quote_of_the_day(),
    flagging_mode="never",
    theme="soft",
    css=custom_css
)

if __name__ == "__main__":
    print(f"Temp directory for audio and downloads: {TEMP_DIR}")
    interface.launch()