Update app.py

app.py

@@ -97,7 +97,7 @@ MAX_SEED = 1000000
 MAX_PIXEL_BUDGET = 1024 * 1024
 
 
-#@spaces.GPU
+@spaces.GPU
 def process_input(input_image, upscale_factor):
     w, h = input_image.size
     aspect_ratio = w / h
@@ -121,7 +121,7 @@ def process_input(input_image, upscale_factor):
 
     return input_image.resize((w, h)), was_resized
 
-#@spaces.GPU
+@spaces.GPU
 def run_inference(process_id, input_image, upscale_factor, seed, num_inference_steps, controlnet_conditioning_scale):
     logger.info("Processing inference for process_id: %s", process_id)
     input_image, was_resized = process_input(input_image, upscale_factor)
@@ -216,10 +216,10 @@ def infer():
 
 
 # Modify status endpoint to receive process_id in request body
-@app.route('/status', methods=['POST'])
+@app.route('/status', methods=['GET'])
 def status():
-    data = request.json
-    process_id = data.get('process_id')
+    # Get the process_id from the query parameters
+    process_id = request.args.get('process_id')
 
     # Check if process_id was provided
     if not process_id: