refoundd commited on
Commit
025bb73
·
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1 Parent(s): 3eea0bf

Update handler.py

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Files changed (1) hide show
  1. handler.py +1 -61
handler.py CHANGED
@@ -6,55 +6,7 @@ from diffusers import FluxPipeline
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  from huggingface_inference_toolkit.logging import logger
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  from para_attn.first_block_cache.diffusers_adapters import apply_cache_on_pipe
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  import time
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- import uuid
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- from huggingface_hub import HfApi
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- from pyngrok import ngrok
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- import subprocess
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- from fastapi import FastAPI
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- from fastapi.responses import FileResponse
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- import uvicorn
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- import threading
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-
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- image_directory='./images'
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- if not os.path.exists(image_directory):
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- os.makedirs(image_directory)
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-
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- app = FastAPI()
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-
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- @app.get("/images/{image_name}")
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- async def get_image(image_name: str):
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- image_path = os.path.join(image_directory, image_name)
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-
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- if os.path.exists(image_path):
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- return FileResponse(image_path)
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- else:
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- return {"error": "Image not found"}
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-
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- def run_uvicorn():
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- uvicorn.run(app, host="127.0.0.1", port=6000)
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-
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- uvicorn_thread = threading.Thread(target=run_uvicorn)
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- uvicorn_thread.daemon = True
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- uvicorn_thread.start()
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-
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- authtoken = "2cvqFKWc1eb9b0aN7pRLDUBfEtC_2FUehxFL8CAKXRkW3Hfjo"
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- commands = [
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- # "snap install ngrok",
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- f"ngrok config add-authtoken {authtoken}"
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- ]
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- for command in commands:
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- try:
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- subprocess.run(command, shell=True, check=True)
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- logger.info(f"SUCCESS CMD: {command}")
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- except subprocess.CalledProcessError as e:
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- logger.info(f"Failed CMD: {e}")
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- def run_ngrok():
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- subprocess.run(["ngrok", "http", "6000"])
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- ngrok_thread = threading.Thread(target=run_ngrok)
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- ngrok_thread.daemon = True
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- ngrok_thread.start()
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- logger.info("ngrok is running in the background")
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59
  class EndpointHandler:
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  def __init__(self, path=""):
@@ -69,13 +21,7 @@ class EndpointHandler:
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  self.pipe.vae = torch.compile(
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  self.pipe.vae, mode="max-autotune-no-cudagraphs",
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  )
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- # ngrok
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- self.public_url = ngrok.connect(6000).public_url
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- # subprocess.Popen(['ngrok', 'http', '6000'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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-
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- logger.info("Ngrok is running in the background.")
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-
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  def __call__(self, data: Dict[str, Any]) -> str:
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  logger.info(f"Received incoming request with {data=}")
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@@ -111,10 +57,4 @@ class EndpointHandler:
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  end_time = time.time()
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  time_taken = end_time - start_time
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  print(f"Time taken: {time_taken:.2f} seconds")
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- filename = f"{uuid.uuid4()}.png"
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- image_path = f"/images/{filename}"
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-
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- result.save(image_path)
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- image_url = f"{self.public_url+image_path}"
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-
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- return image_url
 
6
  from huggingface_inference_toolkit.logging import logger
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  from para_attn.first_block_cache.diffusers_adapters import apply_cache_on_pipe
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  import time
 
 
9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10
 
11
  class EndpointHandler:
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  def __init__(self, path=""):
 
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  self.pipe.vae = torch.compile(
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  self.pipe.vae, mode="max-autotune-no-cudagraphs",
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  )
 
 
 
 
 
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  def __call__(self, data: Dict[str, Any]) -> str:
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  logger.info(f"Received incoming request with {data=}")
27
 
 
57
  end_time = time.time()
58
  time_taken = end_time - start_time
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  print(f"Time taken: {time_taken:.2f} seconds")
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+ return result