import gradio as gr
import base64
import requests
import io
from PIL import Image
import json
import os
from together import Together
import tempfile
import uuid

def encode_image_to_base64(image_path):
    """Convert image to base64 encoding"""
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode('utf-8')

def save_uploaded_image(image):
    """Save uploaded image to a temporary file and return the path"""
    if image is None:
        return None
    
    with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as temp_file:
        if isinstance(image, dict) and "path" in image:  # Gradio returns image as dict
            # Copy the uploaded image to our temporary file
            with open(image["path"], "rb") as img_file:
                temp_file.write(img_file.read())
        elif isinstance(image, Image.Image):
            # If it's a PIL Image, save it
            image.save(temp_file.name, format="JPEG")
        else:
            # Try to handle other formats
            try:
                Image.open(image).save(temp_file.name, format="JPEG")
            except Exception:
                return None
    
    return temp_file.name

def get_recipe_suggestions(api_key, images, num_recipes=3, dietary_restrictions="None", cuisine_preference="Any"):
    """
    Get recipe suggestions based on the uploaded images of ingredients
    """
    if not api_key:
        return "Please provide your Together API key."
    
    if not images or len(images) == 0 or all(img is None for img in images):
        return "Please upload at least one image of ingredients."
    
    # Filter out None values
    valid_images = [img for img in images if img is not None]
    
    if len(valid_images) == 0:
        return "No valid images were uploaded. Please try again."
    
    # Save all uploaded images
    image_paths = []
    for img in valid_images:
        img_path = save_uploaded_image(img)
        if img_path:
            image_paths.append(img_path)
    
    if not image_paths:
        return "Failed to process the uploaded images."
    
    try:
        # Initialize Together client with the provided API key
        client = Together(api_key=api_key)
        
        # Create the prompt for the model
        system_prompt = """You are a culinary expert AI assistant that specializes in creating recipes based on available ingredients.
        Analyze the provided images of ingredients and suggest creative, detailed recipes that use as many of the shown ingredients as possible.
        
        For each recipe suggestion, include:
        1. Recipe name
        2. Brief description of the dish
        3. Complete ingredients list (including estimated quantities and any additional staple ingredients that might be needed)
        4. Step-by-step cooking instructions
        5. Approximate cooking time
        6. Difficulty level (Easy, Medium, Advanced)
        7. Nutritional highlights
        
        Consider any dietary restrictions and cuisine preferences mentioned by the user."""
        
        user_prompt = f"""Based on the ingredients shown in these images, suggest {num_recipes} creative and delicious recipes.
        Dietary restrictions to consider: {dietary_restrictions}
        Cuisine preference: {cuisine_preference}
        Please be specific about what ingredients you can identify in the images and creative with your recipe suggestions. Try to use ingredients from all images if possible."""
        
        # Create message with multiple images
        content = [{"type": "text", "text": user_prompt}]
        
        # Add all images to the content
        for img_path in image_paths:
            content.append({
                "type": "image_url",
                "image_url": {
                    "url": f"file://{img_path}"
                }
            })
        
        response = client.chat.completions.create(
            model="meta-llama/Llama-Vision-Free",
            messages=[
                {
                    "role": "system",
                    "content": system_prompt
                },
                {
                    "role": "user",
                    "content": content
                }
            ],
            max_tokens=2048,
            temperature=0.7
        )
        
        # Clean up the temporary files
        for img_path in image_paths:
            try:
                os.unlink(img_path)
            except:
                pass
        
        return response.choices[0].message.content
        
    except Exception as e:
        # Clean up the temporary files in case of error
        for img_path in image_paths:
            try:
                os.unlink(img_path)
            except:
                pass
        return f"Error: {str(e)}"

# Custom CSS for a more appealing interface
custom_css = """
:root {
    --primary-color: #FF6B6B;
    --secondary-color: #4ECDC4;
    --accent-color: #FFD166;
    --background-color: #f8f9fa;
    --text-color: #212529;
    --card-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
    --border-radius: 10px;
    --font-family: 'Poppins', sans-serif;
}

body {
    font-family: var(--font-family);
    background-color: var(--background-color);
    color: var(--text-color);
}

.container {
    max-width: 1200px;
    margin: 0 auto;
    padding: 20px;
}

.app-header {
    text-align: center;
    margin-bottom: 30px;
    padding: 30px 0;
    background: linear-gradient(135deg, var(--primary-color) 0%, var(--secondary-color) 100%);
    border-radius: var(--border-radius);
    color: white;
    box-shadow: var(--card-shadow);
}

.app-title {
    font-size: 3em;
    margin-bottom: 10px;
    font-weight: bold;
}

.app-subtitle {
    font-size: 1.2em;
    opacity: 0.9;
    max-width: 700px;
    margin: 0 auto;
}

.input-section, .output-section {
    background-color: white;
    border-radius: var(--border-radius);
    padding: 25px;
    box-shadow: var(--card-shadow);
    margin-bottom: 20px;
}

.input-section h3, .output-section h3 {
    color: var(--primary-color);
    margin-top: 0;
    font-size: 1.5em;
    border-bottom: 2px solid var(--secondary-color);
    padding-bottom: 10px;
    margin-bottom: 20px;
}

.image-upload-container {
    border: 2px dashed var(--secondary-color);
    border-radius: var(--border-radius);
    padding: 20px;
    text-align: center;
    margin-bottom: 20px;
    transition: all 0.3s ease;
}

.image-upload-container:hover {
    border-color: var(--primary-color);
    background-color: rgba(255, 107, 107, 0.05);
}

button.primary-button {
    background: linear-gradient(135deg, var(--primary-color) 0%, #FF8E8E 100%);
    color: white;
    border: none;
    padding: 12px 25px;
    border-radius: 30px;
    font-size: 1.1em;
    cursor: pointer;
    transition: all 0.3s ease;
    box-shadow: 0 2px 5px rgba(255, 107, 107, 0.3);
    font-weight: bold;
    display: block;
    width: 100%;
    margin-top: 20px;
}

button.primary-button:hover {
    transform: translateY(-2px);
    box-shadow: 0 4px 8px rgba(255, 107, 107, 0.4);
    background: linear-gradient(135deg, #FF8E8E 0%, var(--primary-color) 100%);
}

.gradio-slider.svelte-17l1npl {
    margin-bottom: 20px;
}

.tab-nav {
    background-color: var(--secondary-color);
    border-radius: var(--border-radius) var(--border-radius) 0 0;
}

.tab-nav button {
    color: white;
    font-weight: bold;
}

.recipe-card {
    border-left: 5px solid var(--accent-color);
    padding: 15px;
    background-color: #f9f9f9;
    margin-bottom: 15px;
    border-radius: 0 var(--border-radius) var(--border-radius) 0;
}

.recipe-title {
    color: var(--primary-color);
    font-size: 1.3em;
    margin-bottom: 5px;
}

.footer {
    text-align: center;
    margin-top: 40px;
    color: #6c757d;
    font-size: 0.9em;
}

.icon {
    color: var(--primary-color);
    margin-right: 5px;
}

.input-group {
    margin-bottom: 20px;
}

.input-group label {
    display: block;
    margin-bottom: 8px;
    font-weight: 600;
    color: var(--text-color);
}

.gallery-item {
    border-radius: var(--border-radius);
    overflow: hidden;
    box-shadow: var(--card-shadow);
    transition: transform 0.3s ease;
}

.gallery-item:hover {
    transform: scale(1.02);
}

.loading-spinner {
    text-align: center;
    padding: 20px;
}

/* Responsive styles */
@media (max-width: 768px) {
    .app-title {
        font-size: 2em;
    }
    
    .input-section, .output-section {
        padding: 15px;
    }
}

/* Custom styling for the API key input */
input[type="password"] {
    border: 2px solid #e9ecef;
    border-radius: var(--border-radius);
    padding: 10px 15px;
    font-size: 1em;
    width: 100%;
    transition: border-color 0.3s ease;
}

input[type="password"]:focus {
    border-color: var(--secondary-color);
    outline: none;
}

/* Custom dropdown styling */
select {
    appearance: none;
    background: white url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24' viewBox='0 0 24 24' fill='none' stroke='%23FF6B6B' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3E%3Cpolyline points='6 9 12 15 18 9'%3E%3C/polyline%3E%3C/svg%3E") no-repeat right 10px center;
    border: 2px solid #e9ecef;
    border-radius: var(--border-radius);
    padding: 10px 40px 10px 15px;
    font-size: 1em;
    width: 100%;
    transition: border-color 0.3s ease;
}

select:focus {
    border-color: var(--secondary-color);
    outline: none;
}

/* Remove Gradio branding */
.gradio-container {
    max-width: 100% !important;
}

.footer-logo, .footer-links {
    display: none !important;
}
"""

# Custom HTML header
html_header = """
<div class="app-header">
    <div class="app-title">🍲 Visual Recipe Assistant</div>
    <div class="app-subtitle">Upload images of ingredients you have on hand and get personalized recipe suggestions powered by AI</div>
</div>
"""

# Custom HTML footer
html_footer = """
<div class="footer">
    <p>🧪 Powered by Meta's Llama-Vision-Free Model & Together AI</p>
    <p>📸 Upload multiple ingredient images for more creative recipe combinations</p>
</div>
"""

# Create the Gradio interface with improved design
with gr.Blocks(css=custom_css) as app:
    gr.HTML(html_header)
    
    with gr.Row():
        with gr.Column(scale=1):
            with gr.Box(elem_classes="input-section"):
                gr.HTML("<h3>🔑 API Configuration</h3>")
                api_key_input = gr.Textbox(
                    label="Together API Key", 
                    placeholder="Enter your Together API key here...",
                    type="password",
                    elem_classes="input-group"
                )
                
                gr.HTML("<h3>📷 Upload Ingredients</h3>")
                image_input = gr.Gallery(
                    label="", 
                    elem_id="ingredient-gallery",
                    elem_classes="gallery-container",
                    columns=3,
                    rows=2,
                    height="auto",
                    object_fit="contain"
                )
                
                # Use File component to handle multiple image uploads
                file_upload = gr.File(
                    label="Upload images of ingredients",
                    file_types=["image"],
                    file_count="multiple",
                    elem_classes="image-upload-container"
                )
                
                gr.HTML("<h3>⚙️ Recipe Preferences</h3>")
                with gr.Row():
                    num_recipes = gr.Slider(
                        minimum=1, 
                        maximum=5, 
                        value=3, 
                        step=1, 
                        label="Number of Recipe Suggestions",
                        elem_classes="input-group"
                    )
                
                with gr.Row():
                    with gr.Column():
                        dietary_restrictions = gr.Dropdown(
                            choices=["None", "Vegetarian", "Vegan", "Gluten-Free", "Dairy-Free", "Low-Carb", "Keto", "Paleo"],
                            value="None",
                            label="Dietary Restrictions",
                            elem_classes="input-group"
                        )
                        
                    with gr.Column():
                        cuisine_preference = gr.Dropdown(
                            choices=["Any", "Italian", "Asian", "Mexican", "Mediterranean", "Indian", "American", "French", "Middle Eastern"],
                            value="Any",
                            label="Cuisine Preference",
                            elem_classes="input-group"
                        )
                
                submit_button = gr.Button("Get Recipe Suggestions", elem_classes="primary-button")
        
        with gr.Column(scale=1):
            with gr.Box(elem_classes="output-section"):
                gr.HTML("<h3>🍽️ Your Personalized Recipes</h3>")
                output = gr.Markdown(elem_classes="recipe-output")
    
    gr.HTML(html_footer)
    
    # Handle file uploads to display in gallery
    def update_gallery(files):
        if not files:
            return None
        return [file.name for file in files]
    
    file_upload.change(fn=update_gallery, inputs=file_upload, outputs=image_input)
    
    # Handle recipe generation
    def process_recipe_request(api_key, files, num_recipes, dietary_restrictions, cuisine_preference):
        if not files:
            return "Please upload at least one image of ingredients."
        
        # Get actual image files from the uploaded files
        images = [file.name for file in files]
        return get_recipe_suggestions(api_key, images, num_recipes, dietary_restrictions, cuisine_preference)
    
    # Set up the submission action
    submit_button.click(
        fn=process_recipe_request,
        inputs=[api_key_input, file_upload, num_recipes, dietary_restrictions, cuisine_preference],
        outputs=output
    )

# Launch the app
if __name__ == "__main__":
    app.launch()