Delete v2.txt

v2.txt

@@ -1,458 +0,0 @@
-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 analyze_single_image(client, img_path):
-    """Analyze a single image to identify ingredients"""
-    system_prompt = """You are a culinary expert AI assistant that specializes in identifying ingredients in images.
-    Your task is to analyze the provided image and list all the food ingredients you can identify.
-    Be specific and detailed about what you see. Only list ingredients, don't suggest recipes yet."""
-    
-    user_prompt = "Please identify all the food ingredients visible in this image. List each ingredient on a new line."
-    
-    try:
-        with open(img_path, "rb") as image_file:
-            base64_image = base64.b64encode(image_file.read()).decode('utf-8')
-            
-            content = [
-                {"type": "text", "text": user_prompt},
-                {
-                    "type": "image_url",
-                    "image_url": {
-                        "url": f"data:image/jpeg;base64,{base64_image}"
-                    }
-                }
-            ]
-            
-            response = client.chat.completions.create(
-                model="meta-llama/Llama-Vision-Free",
-                messages=[
-                    {"role": "system", "content": system_prompt},
-                    {"role": "user", "content": content}
-                ],
-                max_tokens=500,
-                temperature=0.2
-            )
-            
-            return response.choices[0].message.content
-    except Exception as e:
-        return f"Error analyzing image: {str(e)}"
-
-def get_recipe_suggestions(api_key, image_paths, 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 image_paths or len(image_paths) == 0:
-        return "Please upload at least one image of ingredients."
-    
-    try:
-        client = Together(api_key=api_key)
-        
-        all_ingredients = []
-        for img_path in image_paths:
-            ingredients_text = analyze_single_image(client, img_path)
-            all_ingredients.append(ingredients_text)
-        
-        combined_ingredients = "\n\n".join([f"Image {i+1} ingredients:\n{ingredients}" 
-                                          for i, ingredients in enumerate(all_ingredients)])
-        
-        system_prompt = """You are a culinary expert AI assistant that specializes in creating recipes based on available ingredients.
-        You will be provided with lists of ingredients identified from multiple images. Your task is to suggest creative, 
-        detailed recipes that use as many of the identified 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 following ingredients identified from multiple images, suggest {num_recipes} creative and delicious recipes.
-        
-        {combined_ingredients}
-        
-        Dietary restrictions to consider: {dietary_restrictions}
-        Cuisine preference: {cuisine_preference}
-        
-        Please be creative with your recipe suggestions and try to use ingredients from multiple images if possible."""
-        
-        response = client.chat.completions.create(
-            model="meta-llama/Llama-Vision-Free",
-            messages=[
-                {"role": "system", "content": system_prompt},
-                {"role": "user", "content": user_prompt}
-            ],
-            max_tokens=20000, #2048
-            temperature=0.7
-        )
-        
-        result = "## 📋 Ingredients Identified\n\n"
-        result += combined_ingredients
-        result += "\n\n---\n\n"
-        result += "## 🍽️ Recipe Suggestions\n\n"
-        result += response.choices[0].message.content
-        
-        return result
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-def update_gallery(files):
-    """Update the gallery with uploaded image paths"""
-    if not files or len(files) == 0:
-        return gr.update(visible=False)
-    return gr.update(value=files, visible=True)
-
-def process_recipe_request(api_key, files, num_recipes, dietary_restrictions, cuisine_preference):
-    """Process the recipe request with uploaded files"""
-    if not files:
-        return "Please upload at least one image of ingredients."
-    return get_recipe_suggestions(api_key, files, num_recipes, dietary_restrictions, cuisine_preference)
-
-custom_css = """
-@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap');
-:root {
-    --primary-color: #FF6F61;  /* Warm coral */
-    --secondary-color: #4BB543;  /* Fresh green */
-    --accent-color: #F0A500;  /* Golden yellow */
-    --background-color: #F4F4F9;  /* Light grayish background */
-    --text-color: #333333;  /* Dark gray text */
-    --card-background: #FFFFFF;  /* White for cards */
-    --border-radius: 12px;
-    --font-family: 'Poppins', sans-serif;
-    --box-shadow: rgba(0, 0, 0, 0.1) 0px 4px 20px;
-    --hover-shadow: rgba(0, 0, 0, 0.15) 0px 8px 30px;
-}
-body {
-    font-family: var(--font-family);
-    background-color: var(--background-color);
-    color: var(--text-color);
-    margin: 0;
-    padding: 0;
-}
-.container {
-    max-width: 1200px;
-    margin: 0 auto;
-    padding: 20px;
-}
-.app-header {
-    background-color: var(--primary-color);
-    color: white;
-    padding: 60px 20px;
-    text-align: center;
-    border-radius: 0 0 30px 30px;
-    box-shadow: var(--box-shadow);
-}
-.app-title {
-    font-size: 2.8em;
-    font-weight: 700;
-    margin-bottom: 10px;
-}
-.app-subtitle {
-    font-size: 1.3em;
-    font-weight: 300;
-    max-width: 800px;
-    margin: 0 auto;
-}
-.input-section, .output-section {
-    background-color: var(--card-background);
-    border-radius: var(--border-radius);
-    padding: 30px;
-    box-shadow: var(--box-shadow);
-    margin-bottom: 30px;
-}
-.section-header {
-    font-size: 1.6em;
-    font-weight: 600;
-    color: var(--text-color);
-    margin-bottom: 20px;
-    border-bottom: 2px solid var(--primary-color);
-    padding-bottom: 10px;
-}
-.section-header2 {
-    font-size: 1.6em;
-    font-weight: 600;
-    color: var(--text-color);
-    border-bottom: 2px solid var(--primary-color);
-    padding-bottom: 10px;
-}
-.image-upload-container {
-    border: 2px dashed var(--secondary-color);
-    padding: 40px;
-    text-align: center;
-    background-color: rgba(75, 181, 67, 0.1);
-    transition: all 0.3s ease;
-}
-.image-upload-container:hover {
-    border-color: var(--primary-color);
-    background-color: rgba(255, 111, 97, 0.1);
-}
-button.primary-button {
-    background-color: var(--primary-color);
-    color: white;
-    border: none;
-    padding: 16px 32px;
-    border-radius: 6px;
-    font-size: 1.1em;
-    cursor: pointer;
-    transition: all 0.3s ease;
-    width: 100%;
-    box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
-}
-button.primary-button:hover {
-    background-color: #E15F52;
-    box-shadow: var(--hover-shadow);
-}
-.gallery-container {
-    display: grid;
-    grid-template-columns: repeat(auto-fill, minmax(300px, 1fr));
-    gap: 20px;
-    margin-top: 30px;
-}
-.gallery-item {
-    border-radius: var(--border-radius);
-    overflow: hidden;
-    box-shadow: var(--box-shadow);
-    transition: transform 0.3s ease;
-    aspect-ratio: 1 / 1;
-    object-fit: cover;
-}
-.gallery-item:hover {
-    transform: scale(1.05);
-    box-shadow: var(--hover-shadow);
-}
-.recipe-output {
-    font-size: 1.2em;
-    line-height: 1.7;
-    color: var(--text-color);
-    max-height: 600px;
-    overflow-y: auto;
-    padding-right: 15px;
-}
-.recipe-output h2 {
-    color: var(--primary-color);
-    margin-top: 30px;
-    font-size: 2em;
-}
-.recipe-output h3 {
-    color: var(--secondary-color);
-    font-size: 1.5em;
-    margin-top: 20px;
-}
-.loading-container {
-    display: flex;
-    flex-direction: column;
-    justify-content: center;
-    align-items: center;
-    position: fixed;
-    top: 0;
-    left: 0;
-    width: 100%;
-    height: 100%;
-    background-color: rgba(0, 0, 0, 0.5);
-    z-index: 1000;
-    opacity: 0;
-    visibility: hidden;
-    transition: opacity 0.3s ease, visibility 0.3s ease;
-}
-.loading-container.visible {
-    opacity: 1;
-    visibility: visible;
-}
-.loading-spinner {
-    border: 8px solid #f3f3f3;
-    border-top: 8px solid var(--primary-color);
-    border-radius: 50%;
-    width: 60px;
-    height: 60px;
-    animation: spin 1s linear infinite;
-}
-@keyframes spin {
-    0% { transform: rotate(0deg); }
-    100% { transform: rotate(360deg); }
-}
-.loading-text {
-    color: white;
-    font-size: 1.3em;
-    margin-top: 20px;
-}
-.footer {
-    background-color: var(--card-background);
-    padding: 40px 20px;
-    text-align: center;
-    color: var(--text-color);
-    font-size: 1.1em;
-    box-shadow: 0 -2px 10px rgba(0, 0, 0, 0.05);
-}
-.footer-content {
-    max-width: 800px;
-    margin: 0 auto;
-}
-.footer-brand {
-    font-weight: 700;
-    color: var(--primary-color);
-}
-.footer-links a {
-    color: var(--secondary-color);
-    text-decoration: none;
-    margin: 0 15px;
-    transition: color 0.3s ease;
-}
-.footer-links a:hover {
-    color: var(--primary-color);
-}
-"""
-
-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>
-<div id="loading-overlay" class="loading-container">
-    <div class="loading-spinner"></div>
-    <div class="loading-text">Generating your recipes...</div>
-</div>
-<script>
-    function showLoading() {
-        document.getElementById('loading-overlay').classList.add('visible');
-    }
-    
-    function hideLoading() {
-        document.getElementById('loading-overlay').classList.remove('visible');
-    }
-</script>
-"""
-
-html_footer = """
-<div class="footer">
-    <div class="footer-content">
-        <p><span class="footer-brand">🍲 Visual Recipe Assistant</span></p>
-        <p>Powered by Meta's Llama-Vision-Free Model & Together AI</p>
-        <p>Upload multiple ingredient images for more creative recipe combinations</p>
-        <div class="footer-links">
-            <a href="#" target="_blank">How It Works</a>
-            <a href="#" target="_blank">Privacy Policy</a>
-            <a href="#" target="_blank">Contact Us</a>
-        </div>
-    </div>
-</div>
-<script>
-    document.addEventListener('DOMContentLoaded', function() {
-        const submitBtn = document.querySelector('button.primary-button');
-        if (submitBtn) {
-            submitBtn.addEventListener('click', function() {
-                showLoading();
-                const output = document.querySelector('.recipe-output');
-                // Check every second for output content
-                const checkInterval = setInterval(function() {
-                    if (output && output.textContent.trim().length > 0) {
-                        hideLoading();
-                        clearInterval(checkInterval);
-                        clearTimeout(forceHideTimeout);
-                    }
-                }, 60000);
-                // Force hide after 120 seconds
-                const forceHideTimeout = setTimeout(function() {
-                    hideLoading();
-                    clearInterval(checkInterval);
-                }, 120000); // 120000 milliseconds = 120 seconds
-            });
-        }
-    });
-</script>
-"""
-
-with gr.Blocks(css=custom_css) as app:
-    gr.HTML(html_header)
-    
-    with gr.Row():
-        with gr.Column(scale=1):
-            with gr.Group(elem_classes="input-section"):
-                gr.HTML('<h3 class="section-header">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 class="section-header">Upload Ingredients</h3>')
-                file_upload = gr.File(
-                    label="Upload images of ingredients",
-                    file_types=["image"],
-                    file_count="multiple",
-                    elem_classes="image-upload-container"
-                )
-                
-                image_input = gr.Gallery(
-                    label="Uploaded Ingredients", 
-                    elem_id="ingredient-gallery",
-                    columns=3,
-                    rows=2,
-                    height="auto",
-                    visible=False
-                )
-                
-                gr.HTML('<h3 class="section-header2">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.Group(elem_classes="output-section"):
-                gr.HTML('<h3 class="section-header">Your Personalized Recipes</h3>')
-                output = gr.Markdown(elem_classes="recipe-output")
-    
-    gr.HTML(html_footer)
-    
-    file_upload.change(fn=update_gallery, inputs=file_upload, outputs=image_input)
-    
-    submit_button.click(
-        fn=process_recipe_request,
-        inputs=[api_key_input, file_upload, num_recipes, dietary_restrictions, cuisine_preference],
-        outputs=output
-    )
-
-if __name__ == "__main__":
-    app.launch()