Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -5,21 +5,17 @@ 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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#
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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 = "AGBGmadNd9hakFYfahytyQQJtN8CJmDJ"
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ACCESS_KEY_SECRET = "dp3pAe4PpdmnAHCAPgEd3PyLmBQrkMde"
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API_URLS = [
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"https://api-singapore.klingai.com/v1/images/image2image", # Primary endpoint from your update
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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 from
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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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@@ -29,188 +25,108 @@ def generate_jwt_token():
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"nbf": int(time.time()) - 5
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}
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token = jwt.encode(payload, ACCESS_KEY_SECRET, headers=headers)
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logger.debug(f"Generated JWT token: {token}")
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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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"model_name": "kolors-v2.1",
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"
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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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"n": 1,
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"aspect_ratio": "1:1"
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}
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]
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for status_url in status_urls:
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for _ in range(60):
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logger.debug(f"Polling status at {status_url}")
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status_response = requests.get(status_url, headers=headers, timeout=30)
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if status_response.status_code == 404 and status_url != status_urls[-1]:
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logger.debug(f"Status endpoint {status_url} failed, trying next")
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continue
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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 response: {status_data}")
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status = status_data.get("task_status") or status_data.get("status")
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if status in ("succeeded", "completed"):
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image_url = (status_data.get("image_url") or
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status_data.get("result", {}).get("image_url") or
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status_data.get("output") or
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status_data.get("data", {}).get("image") or
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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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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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with gr.Blocks() as iface:
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gr.Markdown(
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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 Face Image
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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
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error_message = gr.Textbox(label="Status/Error
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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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# ================== CONFIGURATION ==================
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ACCESS_KEY_ID = "AGBGmadNd9hakFYfahytyQQJtN8CJmDJ"
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ACCESS_KEY_SECRET = "dp3pAe4PpdmnAHCAPgEd3PyLmBQrkMde"
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API_URL = "https://api-singapore.klingai.com/v1/images/generations" # New unified endpoint
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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# ================== AUTH ==================
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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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"nbf": int(time.time()) - 5
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}
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token = jwt.encode(payload, ACCESS_KEY_SECRET, headers=headers)
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return token
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# ================== IMAGE GENERATION ==================
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def generate_image(image, prompt=""):
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if not image:
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return None, "Error: Please upload a valid face 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_name": "kolors-v2.1",
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"image_base64": [image_base64], # New format: array of base64 images
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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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"n": 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 request to {API_URL}")
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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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task_id = data.get("task_id") or 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 from API."
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# ================== POLLING ==================
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status_url = f"https://api-singapore.klingai.com/v1/tasks/{task_id}"
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for _ in range(60):
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time.sleep(5)
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status_response = requests.get(status_url, headers=headers, timeout=30)
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if status_response.status_code == 404:
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continue
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status_data = status_response.json()
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status = status_data.get("task_status") or status_data.get("status")
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if status in ("succeeded", "completed"):
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image_url = (
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status_data.get("image_url")
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or status_data.get("data", {}).get("image")
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or status_data.get("data", {}).get("images", [{}])[0].get("url")
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)
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if not image_url:
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return None, "Error: No image URL in API response."
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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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return str(output_path), None
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elif status == "failed":
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return None, "Error: Image generation failed."
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return None, "Error: Image generation timed out."
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except requests.exceptions.HTTPError as e:
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return None, f"HTTP Error: {str(e)}"
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except requests.exceptions.RequestException as e:
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return None, f"Network Error: {str(e)}"
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# ================== GRADIO INTERFACE ==================
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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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with gr.Blocks() as iface:
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gr.Markdown("# Kling AI Image-to-Image Generator (Kolors v2.1)")
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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 Face 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 Image")
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error_message = gr.Textbox(label="Status/Error", 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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