Update app.py

app.py

@@ -1,44 +1,216 @@
-import time
-import jwt
+import gradio as gr
 import requests
 import base64
+from pathlib import Path
+import jwt
+import time
+import logging
+import os
 
-# ---- Your Keys ----
+# Set up logging for debugging
+logging.basicConfig(level=logging.DEBUG)
+logger = logging.getLogger(__name__)
+
+# Kling AI API configuration (new keys)
 ACCESS_KEY_ID = "AFyHfnQATghFdCMyAG3gRPbNY4TNKFGB"
 ACCESS_KEY_SECRET = "TTepeLyBterLNM3brYPGmdndBnnyKJBA"
+API_URLS = [
+    "https://api-singapore.klingai.com/v1/images/image2image",  # Primary endpoint
+    "https://api-singapore.klingai.com/v1/images/kolors",  # Fallback for Kolors 2.1
+    "https://api-singapore.klingai.com/v1/images/generations"  # Fallback
+]
 
-# ---- Generate JWT ----
 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, algorithm="HS256")
-    if isinstance(token, bytes):
-        token = token.decode("utf-8")
+    token = jwt.encode(payload, ACCESS_KEY_SECRET, headers=headers)
+    logger.debug(f"Generated JWT token: {token}")
     return token
 
-# ---- Test API Call ----
-def test_kling_image():
-    url = "https://api-singapore.klingai.com/v1/images/generations"
+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"
     }
-
-    # A very simple request (no image-to-image, just text-to-image)
-    data = {
-        "model": "kolors-v2.1",
-        "prompt": "a futuristic city skyline at night",
-        "aspect_ratio": "1:1",
+    
+    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",
-        "num_outputs": 1
+        "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-singapore.klingai.com/v1/tasks/{task_id}",
+                f"https://api-singapore.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
 
-    resp = requests.post(url, headers=headers, json=data)
-    print("Status:", resp.status_code)
-    print("Response:", resp.text)
+# 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__":
-    test_kling_image()
+    logger.debug("Launching Gradio interface")
+    iface.launch(server_name="0.0.0.0", server_port=7860)