Update handler.py

handler.py

@@ -8,7 +8,7 @@ from para_attn.first_block_cache.diffusers_adapters import apply_cache_on_pipe
 import time
 import uuid
 from huggingface_hub import HfApi
-
+record=0
 class EndpointHandler:
     def __init__(self, path=""):
         self.pipe = FluxPipeline.from_pretrained(
@@ -22,9 +22,9 @@ class EndpointHandler:
         self.pipe.vae = torch.compile(
             self.pipe.vae, mode="max-autotune-no-cudagraphs",
         )
-        self.record=0
         
     def __call__(self, data: Dict[str, Any]) -> str:
+        global record
         logger.info(f"Received incoming request with {data=}")
 
         if "inputs" in data and isinstance(data["inputs"], str):
@@ -37,7 +37,7 @@ class EndpointHandler:
                 " prompt to use for the image generation, and it needs to be a non-empty string."
             )
         if prompt=="get_quene":
-            return self.record
+            return record
         parameters = data.pop("parameters", {})
 
         num_inference_steps = parameters.get("num_inference_steps", 28)
@@ -48,7 +48,7 @@ class EndpointHandler:
         # seed generator (seed cannot be provided as is but via a generator)
         seed = parameters.get("seed", 0)
         generator = torch.manual_seed(seed)
-        self.record+=1
+        record+=1
         start_time = time.time()
         time.sleep(6)
         # result = self.pipe(  # type: ignore
@@ -62,6 +62,6 @@ class EndpointHandler:
         end_time = time.time()
         time_taken = end_time - start_time
         print(f"Time taken: {time_taken:.2f} seconds")
-        self.record-=1
+        record-=1
 
-        return self.record
+        return record