Delete app-backup.py

app-backup.py

@@ -1,392 +0,0 @@
-import gradio as gr
-import replicate
-import os
-from PIL import Image
-import requests
-from io import BytesIO
-import time
-import tempfile
-import base64
-
-# Set up Replicate API key from environment variable
-os.environ['REPLICATE_API_TOKEN'] = os.getenv('REPLICATE_API_TOKEN')
-
-def upload_image_to_hosting(image):
-    """
-    Upload image to multiple hosting services with fallback
-    """
-    # Method 1: Try imgbb.com (more reliable than Imgur)
-    try:
-        buffered = BytesIO()
-        image.save(buffered, format="PNG")
-        buffered.seek(0)
-        img_base64 = base64.b64encode(buffered.getvalue()).decode()
-        
-        # imgbb API (free tier)
-        response = requests.post(
-            "https://api.imgbb.com/1/upload",
-            data={
-                'key': '6d207e02198a847aa98d0a2a901485a5',  # Free API key
-                'image': img_base64,
-            }
-        )
-        
-        if response.status_code == 200:
-            data = response.json()
-            if data.get('success'):
-                return data['data']['url']
-    except Exception as e:
-        print(f"imgbb upload failed: {e}")
-    
-    # Method 2: Try freeimage.host
-    try:
-        buffered = BytesIO()
-        image.save(buffered, format="PNG")
-        buffered.seek(0)
-        
-        files = {'source': buffered}
-        response = requests.post(
-            "https://freeimage.host/api/1/upload",
-            files=files,
-            data={'key': '6d207e02198a847aa98d0a2a901485a5'}
-        )
-        
-        if response.status_code == 200:
-            data = response.json()
-            if 'image' in data and 'url' in data['image']:
-                return data['image']['url']
-    except Exception as e:
-        print(f"freeimage.host upload failed: {e}")
-    
-    # Method 3: Try 0x0.st (simple and reliable)
-    try:
-        buffered = BytesIO()
-        image.save(buffered, format="PNG")
-        buffered.seek(0)
-        
-        files = {'file': ('image.png', buffered, 'image/png')}
-        response = requests.post(
-            "https://0x0.st",
-            files=files
-        )
-        
-        if response.status_code == 200:
-            return response.text.strip()
-    except Exception as e:
-        print(f"0x0.st upload failed: {e}")
-    
-    # Method 4: Original Imgur as last resort
-    try:
-        buffered = BytesIO()
-        image.save(buffered, format="PNG")
-        buffered.seek(0)
-        img_base64 = base64.b64encode(buffered.getvalue()).decode()
-        
-        headers = {
-            'Authorization': 'Client-ID 0d90e8a3e7d8b4e'
-        }
-        
-        response = requests.post(
-            'https://api.imgur.com/3/image',
-            headers=headers,
-            data={'image': img_base64}
-        )
-        
-        if response.status_code == 200:
-            data = response.json()
-            if data.get('success'):
-                return data['data']['link']
-    except Exception as e:
-        print(f"Imgur upload failed: {e}")
-    
-    return None
-
-def save_temp_image(image):
-    """
-    Save image temporarily and return file path
-    """
-    with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as tmp:
-        image.save(tmp.name, 'PNG')
-        return tmp.name
-
-def process_images(prompt, image1, image2=None):
-    """
-    Process uploaded images with Replicate API
-    """
-    if not image1:
-        return None, "❌ Please upload at least one image"
-    
-    # Check if API token is set
-    if not os.getenv('REPLICATE_API_TOKEN'):
-        return None, "⚠️ Please set REPLICATE_API_TOKEN environment variable"
-    
-    try:
-        # Prepare image URLs list
-        image_urls = []
-        
-        # Upload first image
-        print("Uploading first image...")
-        url1 = upload_image_to_hosting(image1)
-        if url1:
-            image_urls.append(url1)
-            print(f"Image 1 uploaded: {url1}")
-        else:
-            # If all hosting services fail, use base64 data URI as fallback
-            buffered = BytesIO()
-            image1.save(buffered, format="PNG")
-            buffered.seek(0)
-            img_base64 = base64.b64encode(buffered.getvalue()).decode()
-            data_uri = f"data:image/png;base64,{img_base64}"
-            image_urls.append(data_uri)
-            print("Using base64 data URI for image 1")
-        
-        # Upload second image if provided
-        if image2:
-            print("Uploading second image...")
-            url2 = upload_image_to_hosting(image2)
-            if url2:
-                image_urls.append(url2)
-                print(f"Image 2 uploaded: {url2}")
-            else:
-                buffered = BytesIO()
-                image2.save(buffered, format="PNG")
-                buffered.seek(0)
-                img_base64 = base64.b64encode(buffered.getvalue()).decode()
-                data_uri = f"data:image/png;base64,{img_base64}"
-                image_urls.append(data_uri)
-                print("Using base64 data URI for image 2")
-        
-        # Prepare input exactly as shown in the reference
-        input_data = {
-            "prompt": prompt,
-            "image_input": image_urls
-        }
-        
-        print(f"Sending to Replicate: prompt='{prompt}', images={len(image_urls)}")
-        
-        # Run the model
-        output = replicate.run(
-            "google/nano-banana",
-            input=input_data
-        )
-        
-        # Process output
-        if output is None:
-            return None, "❌ No output received from model"
-        
-        # Try different methods to get the image
-        try:
-            # Method 1: Using read() method
-            if hasattr(output, 'read'):
-                img_data = output.read()
-                img = Image.open(BytesIO(img_data))
-                return img, "✅ Free Nano Banana generated your image successfully! 🍌"
-        except:
-            pass
-        
-        try:
-            # Method 2: Using url() method and downloading
-            if hasattr(output, 'url'):
-                output_url = output.url()
-                response = requests.get(output_url, timeout=30)
-                if response.status_code == 200:
-                    img = Image.open(BytesIO(response.content))
-                    return img, "✅ Free Nano Banana generated your image successfully! 🍌"
-        except:
-            pass
-        
-        # Method 3: If output is a URL string or list
-        output_url = None
-        if isinstance(output, str):
-            output_url = output
-        elif isinstance(output, list) and len(output) > 0:
-            output_url = output[0]
-        
-        if output_url:
-            response = requests.get(output_url, timeout=30)
-            if response.status_code == 200:
-                img = Image.open(BytesIO(response.content))
-                return img, "✅ Free Nano Banana generated your image successfully! 🍌"
-        
-        return None, f"❌ Could not process output. Output type: {type(output)}"
-        
-    except replicate.exceptions.ReplicateError as e:
-        error_msg = str(e)
-        if "502" in error_msg:
-            return None, "❌ Server error (502). The nano-banana model might be temporarily unavailable."
-        elif "404" in error_msg:
-            return None, "❌ Model 'google/nano-banana' not found. Please verify the model exists."
-        elif "401" in error_msg or "403" in error_msg:
-            return None, "❌ Authentication error. Please check your REPLICATE_API_TOKEN."
-        elif "402" in error_msg:
-            return None, "❌ Payment required. Please check your Replicate billing status."
-        else:
-            return None, f"❌ Replicate Error: {error_msg}"
-    except Exception as e:
-        return None, f"❌ Error: {str(e)}"
-
-# Create Gradio interface with gradient theme
-css = """
-.gradio-container {
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-    font-family: 'Inter', sans-serif;
-}
-.gr-button {
-    background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
-    border: none;
-    color: white;
-    font-weight: bold;
-    transition: transform 0.2s;
-}
-.gr-button:hover {
-    transform: scale(1.05);
-    box-shadow: 0 10px 20px rgba(0,0,0,0.2);
-}
-.gr-input {
-    border-radius: 10px;
-    border: 2px solid rgba(255,255,255,0.3);
-    background: rgba(255,255,255,0.9);
-}
-.header-text {
-    background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
-    -webkit-background-clip: text;
-    -webkit-text-fill-color: transparent;
-    background-clip: text;
-    font-size: 2.5em;
-    font-weight: bold;
-    text-align: center;
-    margin-bottom: 20px;
-}
-.description-text {
-    color: white;
-    text-align: center;
-    font-size: 1.1em;
-    margin-bottom: 30px;
-    text-shadow: 2px 2px 4px rgba(0,0,0,0.2);
-}
-"""
-
-# Build the Gradio interface
-with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
-    gr.HTML("""
-        <div class="header-text">🍌 Free Nano Banana</div>
-        <div class="description-text">
-            Upload 1-2 images and describe how you want them styled.
-            The AI will create a beautiful transformation using nano-banana model!
-        </div>
-    """)
-    
-    with gr.Row():
-        with gr.Column(scale=1):
-            gr.Markdown("### 📤 Input Section")
-            
-            prompt = gr.Textbox(
-                label="✏️ Style Prompt",
-                placeholder="Describe how you want to style your images...",
-                lines=3,
-                value="Make the sheets in the style of the logo. Make the scene natural."
-            )
-            
-            with gr.Row():
-                image1 = gr.Image(
-                    label="Image 1 (Required)",
-                    type="pil",
-                    height=200
-                )
-                image2 = gr.Image(
-                    label="Image 2 (Optional)",
-                    type="pil",
-                    height=200
-                )
-            
-            generate_btn = gr.Button(
-                "🚀 Generate Styled Image",
-                variant="primary",
-                size="lg"
-            )
-            
-            gr.Markdown("""
-            #### 💡 Tips:
-            - Upload high-quality images for best results
-            - Be specific in your style description
-            - Model: google/nano-banana 🍌
-            - Free image hosting included!
-            """)
-        
-        with gr.Column(scale=1):
-            gr.Markdown("### 🎯 Output Section")
-            
-            output_image = gr.Image(
-                label="Generated Image",
-                type="pil",
-                height=400
-            )
-            
-            status = gr.Textbox(
-                label="Status",
-                interactive=False,
-                lines=2
-            )
-    
-    # Examples section
-    with gr.Row():
-        gr.Examples(
-            examples=[
-                ["Make the sheets in the style of the logo. Make the scene natural.", None, None],
-                ["Transform into watercolor painting style", None, None],
-                ["Make it look like a vintage photograph", None, None],
-                ["Apply cyberpunk neon style", None, None],
-            ],
-            inputs=[prompt, image1, image2],
-            label="Example Prompts"
-        )
-    
-    # Event handlers
-    generate_btn.click(
-        fn=process_images,
-        inputs=[prompt, image1, image2],
-        outputs=[output_image, status],
-        api_name="generate"
-    )
-    
-    # Additional information
-    gr.Markdown("""
-    ---
-    ### ⚙️ Setup Instructions:
-    
-    1. **Set Environment Variable:**
-       ```bash
-       export REPLICATE_API_TOKEN="r8_your_token_here"
-       ```
-       Get your token from: https://replicate.com/account/api-tokens
-    
-    2. **Install Required Packages:**
-       ```bash
-       pip install gradio replicate pillow requests
-       ```
-    
-    3. **Model Information:**
-       - Model: `google/nano-banana`
-       - Input format: 
-         - `prompt`: Text description
-         - `image_input`: List of image URLs
-       - Output: Generated/styled image
-    
-    4. **Important Notes:**
-       - Images must be hosted with public URLs
-       - Currently using Imgur for free image hosting
-       - If model returns 502 error, it may be temporarily unavailable
-    
-    ### 🔒 Security:
-    - API keys are managed through environment variables
-    - Never commit API keys to version control
-    """)
-
-# Launch the app
-if __name__ == "__main__":
-    demo.launch(
-        share=True,
-        server_name="0.0.0.0",
-        server_port=7860,
-        show_error=True
-    )