app.py

import gradio as gr
import requests
import base64
from pathlib import Path
import jwt
import time
import logging
import os

# Set up logging for debugging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)

# Kling AI API configuration
ACCESS_KEY_ID = "AGBGmadNd9hakFYfahytyQQJtN8CJmDJ"
ACCESS_KEY_SECRET = "dp3pAe4PpdmnAHCAPgEd3PyLmBQrkMde"
API_URLS = [
    "https://api.klingai.com/v1/images/kolors",  # Primary endpoint for Kolors 2.1
    "https://api.klingai.com/v1/images/image2image",  # Your original endpoint
    "https://api.klingai.com/v1/images/generations"  # Fallback from
]

def generate_jwt_token():
    """Generate JWT token for Kling AI API authentication."""
    headers = {"alg": "HS256", "typ": "JWT"}
    payload = {
        "iss": ACCESS_KEY_ID,
        "exp": int(time.time()) + 1800,
        "nbf": int(time.time()) - 5
    }
    token = jwt.encode(payload, ACCESS_KEY_SECRET, headers=headers)
    logger.debug(f"Generated JWT token: {token}")
    return token

def generate_image(image, prompt=""):
    """
    Call Kling AI API for single-reference face generation.
    
    Args:
        image: Uploaded image file (face image)
        prompt (str): Optional text prompt
    
    Returns:
        tuple: (Path to generated image or None, error message or None)
    """
    if not image:
        logger.error("No image uploaded")
        return None, "Error: Please upload a valid face image (PNG/JPEG, <10 MB, ≥512x512 pixels)."
    
    try:
        with open(image, "rb") as img_file:
            image_base64 = base64.b64encode(img_file.read()).decode("utf-8")
        logger.debug("Image converted to base64 successfully")
    except Exception as e:
        logger.error(f"Failed to process image: {str(e)}")
        return None, f"Error: Failed to process image. Ensure it’s a valid PNG/JPEG. Details: {str(e)}"
    
    headers = {
        "Authorization": f"Bearer {generate_jwt_token()}",
        "Content-Type": "application/json"
    }
    
    payload = {
        "model_name": "kolors-v2.1",  # Kolors 2.1 for image-to-image
        "image": image_base64,
        "prompt": prompt or "Transform the face into a cartoon style while preserving identity",
        "strength": 0.97,
        "output_format": "png",
        "n": 1,
        "aspect_ratio": "1:1"
    }
    
    for api_url in API_URLS:
        try:
            logger.debug(f"Sending POST request to {api_url} with payload: {payload}")
            response = requests.post(api_url, json=payload, headers=headers, timeout=30)
            response.raise_for_status()
            data = response.json()
            logger.debug(f"API response: {data}")
            
            task_id = data.get("task_id") or data.get("taskId") or data.get("id") or data.get("data", {}).get("task_id")
            if not task_id:
                logger.error("No task ID returned in API response")
                return None, "Error: No task ID returned. Check API endpoint at https://klingai.com/global/dev/model/image."
            
            status_urls = [
                f"https://api.klingai.com/v1/tasks/{task_id}",
                f"https://api.klingai.com/api/v1/task/{task_id}"
            ]
            for status_url in status_urls:
                for _ in range(60):
                    logger.debug(f"Polling status at {status_url}")
                    status_response = requests.get(status_url, headers=headers, timeout=30)
                    if status_response.status_code == 404 and status_url != status_urls[-1]:
                        logger.debug(f"Status endpoint {status_url} failed, trying next")
                        continue
                    status_response.raise_for_status()
                    status_data = status_response.json()
                    logger.debug(f"Status response: {status_data}")
                    status = status_data.get("task_status") or status_data.get("status")
                    if status in ("succeeded", "completed"):
                        image_url = (status_data.get("image_url") or 
                                   status_data.get("result", {}).get("image_url") or 
                                   status_data.get("output") or 
                                   status_data.get("data", {}).get("image") or
                                   status_data.get("data", {}).get("images", [{}])[0].get("url"))
                        if not image_url:
                            logger.error("No image URL in API response")
                            return None, "Error: No image URL in API response. Check https://klingai.com/global/dev/model/image."
                        logger.debug(f"Downloading image from {image_url}")
                        image_response = requests.get(image_url, timeout=30)
                        image_response.raise_for_status()
                        output_path = Path("/tmp/output_image.png")
                        with open(output_path, "wb") as f:
                            f.write(image_response.content)
                        if not output_path.exists():
                            logger.error("Output image file not created")
                            return None, "Error: Failed to save output image."
                        logger.debug(f"Image saved to {output_path}")
                        return str(output_path), None
                    elif status == "failed":
                        logger.error("Image generation failed")
                        return None, "Error: Image generation failed. Ensure the image contains a clear face and avoid NSFW content."
                    elif status == "processing" and status_data.get("progress", 0) >= 0.99:
                        logger.error("Generation stuck at 99%")
                        return None, "Error: Generation stuck at 99%. Check account credits at https://app.klingai.com."
                    time.sleep(5)
                
                logger.error("Image generation timed out")
                return None, "Error: Image generation timed out. Try at 2 AM IST or check account status."
            
            return None, f"Error: All status endpoints failed. Check https://klingai.com/global/dev/model/image."
        
        except requests.exceptions.HTTPError as e:
            status_code = e.response.status_code if e.response else None
            error_data = e.response.json() if e.response and e.response.text else {}
            service_code = error_data.get("code", 0)
            error_message = error_data.get("message", str(e))
            logger.error(f"HTTP error: {status_code}, Service Code: {service_code}, Details: {error_message}")
            
            if error_message.startswith("Create task failed"):
                logger.error("Create task failed error detected")
                return None, "Error: Create task failed. Try at 2 AM IST, verify account at https://app.klingai.com, or join Kling AI Discord."
            elif status_code == 404 and api_url != API_URLS[-1]:
                logger.debug(f"Endpoint {api_url} failed with 404, trying next")
                continue
            elif status_code == 404:
                return None, f"Error: Endpoint not found (404). Tried {', '.join(API_URLS)}. Verify endpoint at https://klingai.com/global/dev/model/image."
            elif status_code == 401:
                if service_code in (1000, 1001, 1002, 1003, 1004):
                    return None, f"Error: Authentication failed ({service_code}). Verify API keys or token settings."
            elif status_code == 429:
                if service_code in (1100, 1101, 1102, 1302, 1303, 1304):
                    return None, f"Error: Rate limit or account issue ({service_code}). Try at 2 AM IST or check https://app.klingai.com."
            elif status_code == 403 and service_code == 1103:
                return None, "Error: Unauthorized access (1103). Verify account permissions at https://app.klingai.com."
            elif status_code == 400:
                if service_code in (1200, 1201, 1300, 1301):
                    return None, f"Error: Invalid parameters ({service_code}). Use PNG/JPEG (<10 MB, ≥512x512) with a clear face."
            elif status_code in (500, 503, 504):
                if service_code in (5000, 5001, 5002):
                    return None, f"Error: Server issue ({service_code}). Try at 2 AM IST or contact support."
            return None, f"Error: API request failed. HTTP {status_code}, Service Code {service_code}. Details: {error_message}"
        except requests.exceptions.RequestException as e:
            logger.error(f"Network error: {str(e)}")
            return None, f"Error: Network issue. Ensure stable internet, disable VPN. Details: {str(e)}"
    
    return None, f"Error: All API endpoints failed. Verify endpoint at https://klingai.com/global/dev/model/image."

def chatbot_interface(image, prompt):
    """
    Gradio interface for single-reference face generation.
    
    Args:
        image: Uploaded image file (containing a face)
        prompt (str): Optional text prompt
    
    Returns:
        tuple: (Output image path for display, output image path for download, error message)
    """
    output_path, error = generate_image(image, prompt)
    if error:
        logger.debug(f"Error returned: {error}")
        return None, None, error
    logger.debug(f"Returning image path for display and download: {output_path}")
    return output_path, output_path, None

# Define Gradio interface
with gr.Blocks() as iface:
    gr.Markdown(
        """
        # Kling AI Single-Reference Face Generator
        Upload a PNG/JPEG image (<10 MB, ≥512x512 pixels) with a clear face to generate a transformed image using Kling AI Kolors 2.1 (strength 0.97). Avoid NSFW content.
        If errors persist, verify endpoint at https://klingai.com/global/dev/model/image or contact support at https://app.klingai.com or Kling AI Discord.
        """
    )
    with gr.Row():
        with gr.Column():
            image_input = gr.Image(type="filepath", label="Upload Face Image (PNG/JPEG, <10 MB, ≥512x512)")
            prompt_input = gr.Textbox(lines=2, placeholder="Enter an optional prompt (e.g., 'Turn this face into a cartoon')", label="Prompt")
            generate_button = gr.Button("Generate")
        with gr.Column():
            output_image = gr.Image(label="Generated Face Image")
            output_file = gr.File(label="Download Generated Image")
            error_message = gr.Textbox(label="Status/Error Message", interactive=False)
    
    generate_button.click(
        fn=chatbot_interface,
        inputs=[image_input, prompt_input],
        outputs=[output_image, output_file, error_message]
    )

# Launch the interface
if __name__ == "__main__":
    logger.debug("Launching Gradio interface")
    iface.launch(server_name="0.0.0.0", server_port=7860)