import gradio as gr
import random
from datetime import datetime
import tempfile
import os
import edge_tts
import asyncio
import warnings
import pytz
import re
import json
import pandas as pd
from pathlib import Path
from gradio_client import Client
import hashlib

warnings.filterwarnings('ignore')

# Initialize story starters
STORY_STARTERS = [
    ['Adventure', 'In a hidden temple deep in the Amazon...'],
    ['Mystery', 'The detective found an unusual note...'],
    ['Romance', 'Two strangers meet on a rainy evening...'],
    ['Sci-Fi', 'The space station received an unexpected signal...'],
    ['Fantasy', 'A magical portal appeared in the garden...']
]

# Initialize client outside of interface definition
arxiv_client = None

def sanitize_filename(text, max_length=50):
    """Create a safe filename from text"""
    # Get first line or first few words
    first_line = text.split('\n')[0].strip()
    # Remove special characters and spaces
    safe_name = re.sub(r'[^\w\s-]', '', first_line)
    safe_name = re.sub(r'[-\s]+', '-', safe_name).strip('-')
    # Truncate to max length while keeping words intact
    if len(safe_name) > max_length:
        safe_name = safe_name[:max_length].rsplit('-', 1)[0]
    return safe_name.lower()

def generate_unique_filename(base_name, timestamp, extension):
    """Generate a unique filename with timestamp and hash"""
    # Create a hash of the base name to ensure uniqueness
    name_hash = hashlib.md5(base_name.encode()).hexdigest()[:6]
    return f"{timestamp}_{base_name}_{name_hash}{extension}"

def save_story(story, audio_path):
    """Save story and audio to gallery with improved naming"""
    try:
        # Create gallery directory if it doesn't exist
        gallery_dir = Path("gallery")
        gallery_dir.mkdir(exist_ok=True)
        
        # Generate timestamp and safe filename base
        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
        safe_name = sanitize_filename(story)
        
        # Generate unique filenames
        story_filename = generate_unique_filename(safe_name, timestamp, ".md")
        audio_filename = generate_unique_filename(safe_name, timestamp, ".mp3")
        
        # Save story text as markdown
        story_path = gallery_dir / story_filename
        with open(story_path, "w") as f:
            f.write(f"# {safe_name.replace('-', ' ').title()}\n\n{story}")
        
        # Copy audio file to gallery with new name
        new_audio_path = None
        if audio_path:
            new_audio_path = gallery_dir / audio_filename
            os.system(f"cp {audio_path} {str(new_audio_path)}")
            
        return str(story_path), str(new_audio_path) if new_audio_path else None
    except Exception as e:
        print(f"Error saving to gallery: {str(e)}")
        return None, None

def format_gallery_entry(timestamp, preview, story_path, audio_path):
    """Format gallery entry as markdown with audio controls"""
    story_link = f"[{preview}]({story_path})"
    if audio_path:
        audio_html = f'<audio controls><source src="{audio_path}" type="audio/mp3">Your browser does not support the audio element.</audio>'
        return f"{timestamp}: {story_link}\n{audio_html}"
    return f"{timestamp}: {story_link}"

def load_gallery():
    """Load all stories and audio from gallery with markdown formatting"""
    try:
        gallery_dir = Path("gallery")
        if not gallery_dir.exists():
            return []
        
        files = []
        for story_file in sorted(gallery_dir.glob("*.md"), reverse=True):
            # Extract timestamp from filename
            timestamp = story_file.stem.split('_')[0]
            
            # Read story content
            with open(story_file) as f:
                story_text = f.read()
                # Extract preview from content (skip markdown header)
                preview = story_text.split('\n\n', 1)[1][:100] + "..."
            
            # Find matching audio file
            audio_file = gallery_dir / f"{story_file.stem}.mp3"
            
            # Format as markdown with audio controls
            formatted_entry = format_gallery_entry(
                timestamp,
                preview,
                str(story_file),
                str(audio_file) if audio_file.exists() else None
            )
            
            files.append([
                timestamp,
                formatted_entry,
                str(story_file),
                str(audio_file) if audio_file.exists() else None
            ])
        
        return files
    except Exception as e:
        print(f"Error loading gallery: {str(e)}")
        return []

# Rest of your existing functions remain the same
def generate_story(prompt, model_choice):
    """Generate story using specified model"""
    try:
        client = init_client()
        if client is None:
            return "Error: Story generation service is not available."
        
        result = client.predict(
            prompt=prompt,
            llm_model_picked=model_choice,
            stream_outputs=True,
            api_name="/ask_llm"
        )
        return result
    except Exception as e:
        return f"Error generating story: {str(e)}"

async def generate_speech(text, voice="en-US-AriaNeural"):
    """Generate speech from text"""
    try:
        communicate = edge_tts.Communicate(text, voice)
        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
            tmp_path = tmp_file.name
            await communicate.save(tmp_path)
        return tmp_path
    except Exception as e:
        print(f"Error in text2speech: {str(e)}")
        return None

def process_story_and_audio(prompt, model_choice):
    """Process story, generate audio, and save to gallery"""
    try:
        # Generate story
        story = generate_story(prompt, model_choice)
        if isinstance(story, str) and story.startswith("Error"):
            return story, None, None
        
        # Generate audio
        audio_path = asyncio.run(generate_speech(story))
        
        # Save to gallery
        story_path, saved_audio_path = save_story(story, audio_path)
        
        return story, audio_path, load_gallery()
    except Exception as e:
        return f"Error: {str(e)}", None, None

# Create the Gradio interface
with gr.Blocks(title="AI Story Generator") as demo:
    gr.Markdown("""
    # 🎭 AI Story Generator & Narrator
    Generate creative stories, listen to them, and build your gallery!
    """)
    
    with gr.Row():
        with gr.Column(scale=3):
            with gr.Row():
                prompt_input = gr.Textbox(
                    label="Story Concept",
                    placeholder="Enter your story idea...",
                    lines=3
                )
            
            with gr.Row():
                model_choice = gr.Dropdown(
                    label="Model",
                    choices=[
                        "mistralai/Mixtral-8x7B-Instruct-v0.1",
                        "mistralai/Mistral-7B-Instruct-v0.2"
                    ],
                    value="mistralai/Mixtral-8x7B-Instruct-v0.1"
                )
                generate_btn = gr.Button("Generate Story")
            
            with gr.Row():
                story_output = gr.Textbox(
                    label="Generated Story",
                    lines=10,
                    interactive=False
                )
            
            with gr.Row():
                audio_output = gr.Audio(
                    label="Story Narration",
                    type="filepath"
                )
        
        # Sidebar with Story Starters and Gallery
        with gr.Column(scale=1):
            gr.Markdown("### 📚 Story Starters")
            story_starters = gr.Dataframe(
                value=STORY_STARTERS,
                headers=["Category", "Starter"],
                interactive=False
            )
            
            gr.Markdown("### 🎬 Story Gallery")
            gallery = gr.HTML(value="")
            
            def update_gallery():
                gallery_entries = load_gallery()
                if not gallery_entries:
                    return "<p>No stories in gallery yet.</p>"
                return "<br>".join(entry[1] for entry in gallery_entries)
            
            demo.load(update_gallery, outputs=[gallery])
    
    # Event handlers
    def update_prompt(evt: gr.SelectData):
        return STORY_STARTERS[evt.index[0]][1]
    
    story_starters.select(update_prompt, None, prompt_input)
    
    generate_btn.click(
        fn=process_story_and_audio,
        inputs=[prompt_input, model_choice],
        outputs=[story_output, audio_output, gallery]
    )

if __name__ == "__main__":
    demo.launch()