add dce model

app.py

@@ -6,9 +6,17 @@ import time
 import os
 from PIL import Image
 
-# Get API endpoints from environment
+
 SR_API = os.getenv("sr_api")
 ENHANCE_API = os.getenv("enhance_api")
+ZERODCE_API = os.getenv("zerodce_api")
+
+# Get API endpoints from environment
+API_ENDPOINTS = {
+    "SR API": SR_API,
+    "ENHANCE API": ENHANCE_API,
+    "ZERODCE API": ZERODCE_API
+}
 
 def apply_super_resolution(input_image, scale_factor, tile_size, api_choice):
     """Apply super-resolution to input image"""
@@ -16,7 +24,7 @@ def apply_super_resolution(input_image, scale_factor, tile_size, api_choice):
         return None, "❌ Please upload an image first", gr.update(visible=False)
     
     # Select API endpoint based on user choice
-    api_endpoint = SR_API if api_choice == "SR API" else ENHANCE_API
+    api_endpoint = API_ENDPOINTS[api_choice]
     
     if not api_endpoint:
         return None, f"❌ {api_choice} endpoint not configured", gr.update(visible=False)
@@ -86,7 +94,7 @@ def main():
                 gr.Markdown("### Enhancement Settings")
                 
                 api_dropdown = gr.Dropdown(
-                    choices=["SR API", "ENHANCE API"], 
+                    choices=["SR API", "ENHANCE API", "ZERODCE API"], 
                     value="SR API", 
                     label="API Choice",
                     info="Choose which enhancement API to use"