Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -5,212 +5,110 @@ from pathlib import Path
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import jwt
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import time
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import logging
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import os
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# Set up logging for debugging
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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# Kling AI API configuration
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ACCESS_KEY_ID = "AFyHfnQATghFdCMyAG3gRPbNY4TNKFGB"
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ACCESS_KEY_SECRET = "TTepeLyBterLNM3brYPGmdndBnnyKJBA"
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"https://api-singapore.klingai.com/v1/images/image2image", # Primary endpoint
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"https://api-singapore.klingai.com/v1/images/kolors", # Fallback for Kolors 2.1
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"https://api-singapore.klingai.com/v1/images/generations" # Fallback
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]
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def generate_jwt_token():
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"""Generate JWT token for Kling AI API authentication."""
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headers = {"alg": "HS256", "typ": "JWT"}
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payload = {
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"iss": ACCESS_KEY_ID,
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"exp": int(time.time()) + 1800,
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"nbf": int(time.time()) - 5
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}
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token = jwt.encode(payload, ACCESS_KEY_SECRET,
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return token
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def generate_image(image, prompt=""):
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"""
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Call Kling AI API for single-reference face generation.
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Args:
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image: Uploaded image file (face image)
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prompt (str): Optional text prompt
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Returns:
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tuple: (Path to generated image or None, error message or None)
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"""
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if not image:
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try:
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with open(image, "rb") as img_file:
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image_base64 = base64.b64encode(img_file.read()).decode("utf-8")
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logger.debug("Image converted to base64 successfully")
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except Exception as e:
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headers = {
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"Authorization": f"Bearer {generate_jwt_token()}",
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"Content-Type": "application/json"
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}
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payload = {
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"
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"image": image_base64,
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"prompt": prompt or "Transform the face into a cartoon style while preserving identity",
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"strength": 0.97,
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"output_format": "png",
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"
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"aspect_ratio": "1:1"
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}
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status_data.get("data", {}).get("images", [{}])[0].get("url"))
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if not image_url:
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logger.error("No image URL in API response")
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return None, "Error: No image URL in API response. Check https://klingai.com/global/dev/model/image."
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logger.debug(f"Downloading image from {image_url}")
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image_response = requests.get(image_url, timeout=30)
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image_response.raise_for_status()
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output_path = Path("/tmp/output_image.png")
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with open(output_path, "wb") as f:
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f.write(image_response.content)
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if not output_path.exists():
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logger.error("Output image file not created")
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return None, "Error: Failed to save output image."
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logger.debug(f"Image saved to {output_path}")
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return str(output_path), None
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elif status == "failed":
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logger.error("Image generation failed")
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return None, "Error: Image generation failed. Ensure the image contains a clear face and avoid NSFW content."
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elif status == "processing" and status_data.get("progress", 0) >= 0.99:
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logger.error("Generation stuck at 99%")
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return None, "Error: Generation stuck at 99%. Check account credits at https://app.klingai.com."
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time.sleep(5)
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logger.error("Image generation timed out")
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return None, "Error: Image generation timed out. Try at 2 AM IST or check account status."
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return None, f"Error: All status endpoints failed. Check https://klingai.com/global/dev/model/image."
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except requests.exceptions.HTTPError as e:
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status_code = e.response.status_code if e.response else None
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error_data = e.response.json() if e.response and e.response.text else {}
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service_code = error_data.get("code", 0)
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error_message = error_data.get("message", str(e))
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logger.error(f"HTTP error: {status_code}, Service Code: {service_code}, Details: {error_message}")
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if error_message.startswith("Create task failed"):
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logger.error("Create task failed error detected")
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return None, "Error: Create task failed. Try at 2 AM IST, verify account at https://app.klingai.com, or join Kling AI Discord."
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elif status_code == 404 and api_url != API_URLS[-1]:
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logger.debug(f"Endpoint {api_url} failed with 404, trying next")
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continue
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elif status_code == 404:
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return None, f"Error: Endpoint not found (404). Tried {', '.join(API_URLS)}. Verify endpoint at https://klingai.com/global/dev/model/image."
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elif status_code == 401:
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if service_code in (1000, 1001, 1002, 1003, 1004):
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return None, f"Error: Authentication failed ({service_code}). Verify API keys or token settings."
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elif status_code == 429:
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if service_code in (1100, 1101, 1102, 1302, 1303, 1304):
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return None, f"Error: Rate limit or account issue ({service_code}). Try at 2 AM IST or check https://app.klingai.com."
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elif status_code == 403 and service_code == 1103:
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return None, "Error: Unauthorized access (1103). Verify account permissions at https://app.klingai.com."
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elif status_code == 400:
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if service_code in (1200, 1201, 1300, 1301):
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return None, f"Error: Invalid parameters ({service_code}). Use PNG/JPEG (<10 MB, ≥512x512) with a clear face."
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elif status_code in (500, 503, 504):
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if service_code in (5000, 5001, 5002):
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return None, f"Error: Server issue ({service_code}). Try at 2 AM IST or contact support."
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return None, f"Error: API request failed. HTTP {status_code}, Service Code {service_code}. Details: {error_message}"
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except requests.exceptions.RequestException as e:
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logger.error(f"Network error: {str(e)}")
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return None, f"Error: Network issue. Ensure stable internet, disable VPN. Details: {str(e)}"
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return None, f"Error: All API endpoints failed. Verify endpoint at https://klingai.com/global/dev/model/image."
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def chatbot_interface(image, prompt):
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"""
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Gradio interface for single-reference face generation.
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Args:
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image: Uploaded image file (containing a face)
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prompt (str): Optional text prompt
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Returns:
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tuple: (Output image path for display, output image path for download, error message)
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"""
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output_path, error = generate_image(image, prompt)
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if error:
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logger.debug(f"Error returned: {error}")
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return None, None, error
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logger.debug(f"Returning image path for display and download: {output_path}")
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return output_path, output_path, None
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# Define Gradio interface
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with gr.Blocks() as iface:
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gr.Markdown(
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"""
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# Kling AI Single-Reference Face Generator
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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.
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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.
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"""
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)
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(type="filepath", label="Upload
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prompt_input = gr.Textbox(lines=2, placeholder="Enter
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generate_button = gr.Button("Generate")
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with gr.Column():
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output_image = gr.Image(label="Generated
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output_file = gr.File(label="Download Generated Image")
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error_message = gr.Textbox(label="Status/Error Message", interactive=False)
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generate_button.click(
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fn=chatbot_interface,
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inputs=[image_input, prompt_input],
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outputs=[output_image, output_file, error_message]
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)
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# Launch the interface
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if __name__ == "__main__":
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iface.launch(server_name="0.0.0.0", server_port=7860)
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import jwt
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import time
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import logging
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# Set up logging for debugging
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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# Kling AI API configuration
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ACCESS_KEY_ID = "AFyHfnQATghFdCMyAG3gRPbNY4TNKFGB"
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ACCESS_KEY_SECRET = "TTepeLyBterLNM3brYPGmdndBnnyKJBA"
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API_URL = "https://api-singapore.klingai.com/v1/images/generations"
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def generate_jwt_token():
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"""Generate JWT token for Kling AI API authentication."""
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payload = {
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"iss": ACCESS_KEY_ID,
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"exp": int(time.time()) + 1800,
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"nbf": int(time.time()) - 5
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}
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token = jwt.encode(payload, ACCESS_KEY_SECRET, algorithm="HS256")
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return token if isinstance(token, str) else token.decode("utf-8")
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def generate_image(image, prompt=""):
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"""Call Kling AI API for image-to-image generation."""
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if not image:
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return None, "Error: Please upload a valid image."
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try:
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with open(image, "rb") as img_file:
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image_base64 = base64.b64encode(img_file.read()).decode("utf-8")
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except Exception as e:
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return None, f"Error: Failed to process image. Details: {str(e)}"
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headers = {
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"Authorization": f"Bearer {generate_jwt_token()}",
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"Content-Type": "application/json"
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}
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payload = {
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"model": "kolors-v2.1",
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"prompt": prompt or "Transform the face into a cartoon style while preserving identity",
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"image_base64_list": [image_base64],
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"strength": 0.97,
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"output_format": "png",
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"num_outputs": 1,
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"aspect_ratio": "1:1"
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}
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try:
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logger.debug(f"Sending POST to {API_URL} with payload")
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response = requests.post(API_URL, json=payload, headers=headers, timeout=30)
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response.raise_for_status()
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data = response.json()
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logger.debug(f"API response: {data}")
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task_id = data.get("data", {}).get("task_id")
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if not task_id:
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return None, "Error: No task ID returned."
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# Poll task until completion
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status_url = f"https://api-singapore.klingai.com/v1/images/task/{task_id}"
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for _ in range(60): # up to 5 minutes
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status_response = requests.get(status_url, headers=headers, timeout=30)
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status_response.raise_for_status()
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status_data = status_response.json()
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logger.debug(f"Status: {status_data}")
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task_status = status_data.get("data", {}).get("task_status")
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if task_status == "succeed":
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image_url = status_data["data"]["images"][0]["url"]
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img_resp = requests.get(image_url, timeout=30)
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output_path = Path("/tmp/output_image.png")
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with open(output_path, "wb") as f:
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f.write(img_resp.content)
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return str(output_path), None
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elif task_status in ("failed", "canceled"):
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return None, f"Error: Task failed. Details: {status_data}"
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time.sleep(5)
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return None, "Error: Task polling timed out."
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except requests.exceptions.RequestException as e:
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return None, f"Error: API request failed. Details: {str(e)}"
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def chatbot_interface(image, prompt):
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output_path, error = generate_image(image, prompt)
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if error:
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return None, None, error
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return output_path, output_path, None
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# Define Gradio interface
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with gr.Blocks() as iface:
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gr.Markdown("# Kling AI Image-to-Image Generator")
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(type="filepath", label="Upload Image")
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prompt_input = gr.Textbox(lines=2, placeholder="Enter prompt", label="Prompt")
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generate_button = gr.Button("Generate")
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with gr.Column():
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output_image = gr.Image(label="Generated Image")
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output_file = gr.File(label="Download Generated Image")
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error_message = gr.Textbox(label="Status/Error Message", interactive=False)
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generate_button.click(
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fn=chatbot_interface,
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inputs=[image_input, prompt_input],
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outputs=[output_image, output_file, error_message]
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)
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if __name__ == "__main__":
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iface.launch(server_name="0.0.0.0", server_port=7860)
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