Delete app.py

app.py

@@ -1,378 +0,0 @@
-import gradio as gr
-import requests
-import os
-from tempfile import NamedTemporaryFile
-from dotenv import load_dotenv
-import time
-import json
-from pathlib import Path
-
-# Load environment variables
-load_dotenv()
-
-# Configuration
-API_URL = os.getenv("MIRAGIC_API_URL")
-MAX_FREE_TRIALS = 2
-
-# Example images
-EXAMPLE_IMAGES = [
-    ["assets/1.jpg"],
-    ["assets/2.jpg"],
-    ["assets/3.jpg"],
-    ["assets/4.jpg"],
-]
-
-# Company information
-COMPANY_INFO = """
-## About US
-### Miragic is a cutting-edge platform to serve AI-powered tools like Virtual Try-on, Speed Painting, Background Remover and Sales Pilot.
-### [Visit our website](https://miragic.ai) to explore more innovative generative AI tools!
-"""
-
-def call_speedpainting_api(image):
-    """Call the Miragic API with proper error handling"""
-    try:
-        # Check if API_URL is configured
-        if not API_URL:
-            raise gr.Error("API URL is not configured. Please set MIRAGIC_API_URL in your environment variables.")
-        
-        with NamedTemporaryFile(suffix=".png") as tmp:
-            image.save(tmp.name)
-            with open(tmp.name, 'rb') as f:
-                files = {'file': f}
-                
-                # Add headers for better compatibility
-                headers = {
-                    'User-Agent': 'Miragic-SpeedPainting/1.0',
-                    'Accept': 'application/json'
-                }
-                
-                # Reduced timeout for Hugging Face Spaces
-                response = requests.post(
-                    API_URL, 
-                    files=files, 
-                    headers=headers,
-                    timeout=60,  # Reduced from 120 to 60
-                    verify=True
-                )
-                
-        if response.status_code == 200:
-            result = response.json()
-            if result.get("status") == "success":
-                video_url = result["link"]
-                if "dl=0" in video_url:
-                    return video_url.replace("dl=0", "raw=1")
-                elif "?dl=" in video_url:
-                    return video_url.split("?dl=")[0] + "?raw=1"
-                return video_url
-            raise gr.Error(f"API error: {result.get('message', 'Unknown error')}")
-        elif response.status_code == 429:
-            raise gr.Error("API rate limit exceeded. Please try again later.")
-        elif response.status_code == 503:
-            raise gr.Error("API service temporarily unavailable. Please try again later.")
-        else:
-            raise gr.Error(f"API request failed with status {response.status_code}")
-            
-    except requests.exceptions.ConnectTimeout:
-        raise gr.Error("Connection timed out. This might be due to network restrictions on Hugging Face Spaces. Please try again or contact support.")
-    except requests.exceptions.ReadTimeout:
-        raise gr.Error("Request timed out. The API is taking longer than expected. Please try again.")
-    except requests.exceptions.ConnectionError:
-        raise gr.Error("Unable to connect to the API. Please check if the service is running or try again later.")
-    except requests.exceptions.RequestException as e:
-        raise gr.Error(f"Network error: {str(e)}")
-    except Exception as e:
-        raise gr.Error(f"Processing error: {str(e)}")
-
-def generate_speedpainting(image, usage_count):
-    """Generate speedpainting video"""
-    try:
-        count = int(usage_count) if usage_count else 0
-        
-        if count >= MAX_FREE_TRIALS:
-            raise gr.Error(
-                f"You've reached your daily limit of {MAX_FREE_TRIALS} free generations. "
-                f"Please <a href='https://miragic.ai/' target='_blank'>sign up at Miragic.ai</a> "
-                "for unlimited access or wait 24 hours to try again!"
-            )
-        
-        if not image:
-            raise gr.Error("Please upload an image first!")
-        
-        # Show loading message
-        gr.Info("Processing your image... This may take a moment.")
-        
-        video_url = call_speedpainting_api(image)
-        
-        # Success message
-        gr.Info("Speedpainting generated successfully!")
-        
-        return video_url, count + 1
-    except gr.Error:
-        # Re-raise Gradio errors as-is
-        raise
-    except Exception as e:
-        # Handle any other unexpected errors
-        raise gr.Error(f"An unexpected error occurred: {str(e)}")
-
-def check_usage_limit(usage_count):
-    """Check if user should see signup prompt"""
-    count = int(usage_count) if usage_count else 0
-    return gr.HTML(visible=count >= MAX_FREE_TRIALS - 1)
-
-# Custom CSS for styling
-css = """
-footer {visibility: hidden}
-.banner {
-    background-color: #f8f9fa;
-    padding: 10px;
-    border-radius: 5px;
-    margin-bottom: 20px;
-    text-align: center;
-}
-.input-row {
-    display: flex;
-    flex-direction: row;
-    gap: 20px;
-}
-.input-column {
-    flex: 1;
-}
-.button-gradient, .signup-button {
-  background: linear-gradient(45deg, #ff416c, #ff4b2b, #ff9b00, #ff416c);
-  background-size: 400% 400%;
-  border: none;
-  padding: 14px 28px;
-  font-size: 16px;
-  font-weight: bold;
-  color: white;
-  border-radius: 10px;
-  cursor: pointer;
-  transition: 0.3s ease-in-out;
-  animation: gradientAnimation 2s infinite linear;
-  box-shadow: 0 4px 10px rgba(255, 65, 108, 0.6);
-  text-decoration: none;
-  display: inline-block;
-  margin-top: 10px;
-}
-.signup-button {
-  margin: 0 auto;
-}
-@keyframes gradientAnimation {
-  0% { background-position: 0% 50%; }
-  100% { background-position: 100% 50%; }
-}
-.button-gradient:hover, .signup-button:hover {
-  transform: scale(1.05);
-  box-shadow: 0 6px 15px rgba(255, 75, 43, 0.8);
-}
-.signup-container {
-    text-align: center;
-    padding: 20px;
-    background: #f8f9fa;
-    border-radius: 8px;
-    margin-top: 20px;
-}
-.signup-container h3 {
-    margin-bottom: 10px;
-    color: #333;
-}
-.signup-container p {
-    margin-bottom: 15px;
-    color: #555;
-}
-.usage-info {
-    background-color: #e8f4f8;
-    padding: 10px;
-    border-radius: 5px;
-    margin-bottom: 10px;
-    text-align: center;
-    font-weight: bold;
-}
-"""
-
-# Custom JavaScript for cookie management
-js = """
-<script>
-// Cookie management functions
-function setCookie(name, value, days) {
-    const expires = new Date();
-    expires.setTime(expires.getTime() + (days * 24 * 60 * 60 * 1000));
-    document.cookie = name + '=' + value + ';expires=' + expires.toUTCString() + ';path=/';
-}
-
-function getCookie(name) {
-    const nameEQ = name + '=';
-    const ca = document.cookie.split(';');
-    for(let i = 0; i < ca.length; i++) {
-        let c = ca[i];
-        while (c.charAt(0) === ' ') c = c.substring(1, c.length);
-        if (c.indexOf(nameEQ) === 0) return c.substring(nameEQ.length, c.length);
-    }
-    return null;
-}
-
-function generateUserId() {
-    return 'user_' + Math.random().toString(36).substr(2, 9) + '_' + Date.now();
-}
-
-function getUserId() {
-    let userId = getCookie('miragic_user_id');
-    if (!userId) {
-        userId = generateUserId();
-        setCookie('miragic_user_id', userId, 7); // 7 days
-    }
-    return userId;
-}
-
-function getUsageCount() {
-    const userId = getUserId();
-    const usageKey = 'miragic_usage_' + userId;
-    const today = new Date().toDateString();
-    const storedData = getCookie(usageKey);
-    
-    if (storedData) {
-        try {
-            const data = JSON.parse(decodeURIComponent(storedData));
-            if (data.date === today) {
-                return data.count;
-            }
-        } catch (e) {
-            console.error('Error parsing usage data:', e);
-        }
-    }
-    return 0;
-}
-
-function incrementUsageCount() {
-    const userId = getUserId();
-    const usageKey = 'miragic_usage_' + userId;
-    const today = new Date().toDateString();
-    const currentCount = getUsageCount();
-    const newCount = currentCount + 1;
-    
-    const data = {
-        date: today,
-        count: newCount
-    };
-    
-    setCookie(usageKey, encodeURIComponent(JSON.stringify(data)), 1); // 1 day
-    return newCount;
-}
-
-function updateUsageDisplay() {
-    const count = getUsageCount();
-    const remaining = Math.max(0, 2 - count);
-    const usageInfo = document.querySelector('.usage-info');
-    if (usageInfo) {
-        usageInfo.textContent = `Free generations remaining: ${remaining}/2`;
-        if (remaining === 0) {
-            usageInfo.style.backgroundColor = '#ffebee';
-            usageInfo.style.color = '#c62828';
-        }
-    }
-}
-
-// Initialize on page load
-document.addEventListener('DOMContentLoaded', function() {
-    updateUsageDisplay();
-    
-    // Update usage count input
-    const usageInput = document.querySelector('input[data-testid="textbox"]');
-    if (usageInput) {
-        usageInput.value = getUsageCount();
-    }
-});
-
-// Function to handle form submission
-function handleSubmit() {
-    const currentCount = getUsageCount();
-    if (currentCount >= 2) {
-        alert('You have reached your daily limit of 2 free generations. Please sign up at miragic.ai for unlimited access or wait 24 hours to try again!');
-        return false;
-    }
-    
-    const newCount = incrementUsageCount();
-    updateUsageDisplay();
-    
-    // Update hidden input
-    const usageInput = document.querySelector('input[data-testid="textbox"]');
-    if (usageInput) {
-        usageInput.value = newCount;
-    }
-    
-    return true;
-}
-</script>
-"""
-
-with gr.Blocks(title="Miragic Speed-Painting", theme=gr.themes.Ocean(), css=css, head=js) as demo:
-    gr.Markdown("""
-    <div style="display: flex; align-items: center;">
-        <img src="https://avatars.githubusercontent.com/u/211682198?s=200&v=4" style="width: 80px; margin-right: 20px;"/>
-        <div>
-            <h1 style="margin-bottom: 0;">Miragic Speed-Painting 🎨</h1>
-            <p>Upload an image to see AI create speedpainting animations!</p>
-        </div>
-    </div>
-    """)
-    
-    gr.Markdown(COMPANY_INFO)
-    
-    # # Usage info display
-    # gr.HTML('<div class="usage-info">Free generations remaining: 2/2</div>')
-    
-    with gr.Row():
-        with gr.Column():
-            image_input = gr.Image(
-                label="Upload Image",
-                type="pil",
-                sources=["upload", "clipboard"],
-                height=300
-            )
-            
-            gr.Examples(
-                examples=EXAMPLE_IMAGES,
-                inputs=image_input,
-                label="Try these examples!",
-                examples_per_page=4
-            )
-            
-            submit_btn = gr.Button("Generate Speedpainting 🚀", elem_classes="button-gradient")
-        
-        with gr.Column():
-            video_output = gr.Video(
-                label="Speedpainting Result",
-                autoplay=True,
-                format="mp4",
-                height=300
-            )
-            
-            signup_prompt = gr.HTML(
-                visible=False,
-                value="""<div class="signup-container">
-                    <h3>🚀 Unlock Unlimited Generations!</h3>
-                    <p>Sign up at https://miragic.ai for full access!</p>
-                    <a href='https://miragic.ai/' target='_blank' class="signup-button">
-                        Get Started Free 🚀
-                    </a>
-                </div>"""
-            )
-    
-    # Hidden input to track usage count
-    usage_count = gr.Textbox(visible=False, value="0")
-    
-    # Submit button click handler
-    submit_btn.click(
-        fn=generate_speedpainting,
-        inputs=[image_input, usage_count],
-        outputs=[video_output, usage_count],
-        js="(image, count) => { if (!handleSubmit()) return [null, count]; return [image, count]; }"
-    ).then(
-        fn=check_usage_limit,
-        inputs=[usage_count],
-        outputs=signup_prompt
-    )
-
-if __name__ == "__main__":
-    demo.launch()