editableweb / app.py
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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 (keys hardcoded as requested)
ACCESS_KEY_ID = "AGBGmadNd9hakFYfahytyQQJtN8CJmDJ"
ACCESS_KEY_SECRET = "dp3pAe4PpdmnAHCAPgEd3PyLmBQrkMde"
API_URLS = [
"https://api.klingai.com/v1/images/generations", # Primary endpoint from search results
"https://api.klingai.com/v1/images/image2image" # Fallback
]
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, # Token expires in 30 minutes
"nbf": int(time.time()) - 5 # Effective 5 seconds before current time
}
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 (from Gradio, face image)
prompt (str): Optional text prompt to guide transformation
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)."
# Convert image to base64
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": "kling-v2-1", # V2.1 model for image-to-image
"image": image_base64,
"prompt": prompt or "Transform the face into a cartoon style while preserving identity",
"image_reference": "face", # Single-reference face generation
"human_fidelity": 0.97, # High face preservation
"output_format": "png",
"n": 1, # Generate one image
"aspect_ratio": "1:1" # Default aspect ratio
}
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 or keys at https://app.klingai.com/global/dev."
# Poll for task completion
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): # Poll for up to 5 minutes
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 == "succeeded":
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 API documentation at https://app.klingai.com/global/dev."
# Download the 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") # Use /tmp for Spaces compatibility
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 or sensitive 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 or upgrade to a paid plan at https://app.klingai.com."
time.sleep(5)
logger.error("Image generation timed out")
return None, "Error: Image generation timed out. Try during off-peak hours (e.g., 2 AM IST) or check account status."
return None, f"Error: All status endpoints failed. Check https://app.klingai.com/global/dev for correct endpoint."
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 during off-peak hours (e.g., 2 AM IST), verify account status at https://app.klingai.com, or join Kling AI Discord for support."
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:
if service_code == 1202:
return None, "Error: Invalid request method (1202). Check https://app.klingai.com/global/dev for correct endpoint."
elif service_code == 1203:
return None, "Error: Resource does not exist (1203). Verify model or endpoint at https://app.klingai.com/global/dev."
return None, "Error: Endpoint not found (404). Tried https://api.klingai.com/v1/images/generations and https://api.klingai.com/v1/images/image2image. Verify correct endpoint at https://app.klingai.com/global/dev."
elif status_code == 401:
if service_code == 1000:
return None, "Error: Authentication failed (1000). Verify API keys are correct."
elif service_code == 1001:
return None, "Error: Authorization empty (1001). Ensure JWT token is included."
elif service_code == 1002:
return None, "Error: Authorization invalid (1002). Check key format."
elif service_code == 1003:
return None, "Error: Authorization not yet valid (1003). Adjust token start time (nbf)."
elif service_code == 1004:
return None, "Error: Authorization expired (1004). Generate a new token."
elif status_code == 429:
if service_code == 1100:
return None, "Error: Account exception (1100). Verify account configuration at https://app.klingai.com."
elif service_code == 1101:
return None, "Error: Account in arrears (1101). Recharge your account."
elif service_code == 1102:
return None, "Error: Resource pack depleted or expired (1102). Purchase additional resources."
elif service_code in (1302, 1303):
return None, "Error: Rate limit exceeded (1302/1303). Try during off-peak hours (e.g., 2 AM IST) or contact support."
elif service_code == 1304:
return None, "Error: IP whitelisting issue (1304). Contact Kling AI support."
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 == 1200:
return None, "Error: Invalid request parameters (1200). Check payload format."
elif service_code == 1201:
return None, "Error: Invalid parameters (1201). Use PNG/JPEG (<10 MB, ≥512x512) with a clear face."
elif service_code == 1300:
return None, "Error: Platform policy triggered (1300). Check input content."
elif service_code == 1301:
return None, "Error: Content security policy triggered (1301). Ensure the image contains a clear face and avoid NSFW content."
elif status_code in (500, 503, 504):
if service_code == 5000:
return None, "Error: Server internal error (5000). Try again later."
elif service_code == 5001:
return None, "Error: Server unavailable due to maintenance (5001). Try again later."
elif service_code == 5002:
return None, "Error: Server timeout (5002). Try during off-peak hours (e.g., 2 AM IST)."
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, and try again. Details: {str(e)}"
return None, "Error: All API endpoints failed. Verify correct endpoint at https://app.klingai.com/global/dev."
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 V2.1 API (face fidelity 0.97). Avoid NSFW or sensitive content.
If errors persist, verify endpoint at https://app.klingai.com/global/dev or contact support via 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)