Update app.py

app.py

@@ -15,38 +15,6 @@ from inpainting import StableDiffusionInpaintingPipeline
 from torchvision import transforms
 from clipseg.models.clipseg import CLIPDensePredT
 
-#from huggingface_hub import hf_hub_download
-#hf_hub_download(repo_id="ThereforeGames/txt2mask", filename="/repositories/clipseg/")
-#clone_from (str, optional) — Either a repository url or repo_id. Example:
-#api = HfApi()
-
-#from huggingface_hub import Repository
-#with Repository(local_dir="clipseg", clone_from="ThereforeGames/txt2mask/repositories/clipseg/")
-"""
-import sys
-import os
-
-from zipfile import ZipFile
-zf = ZipFile('clipseg-master.zip', 'r')
-zf.extractall('./clipseg')
-zf.close()
-
-
-from huggingface_hub import HfApi
-api = HfApi()
-api.upload_folder(
-    folder_path="/",
-    path_in_repo="ThereforeGames/txt2mask/repositories/clipseg/",
-    repo_id="ThereforeGames/txt2mask",
-#    repo_type="dataset",
-#    ignore_patterns="**/logs/*.txt",
-)
-"""
-#.commit(commit_message="clipseg uploaded...")
-#    with open("file.txt", "w+") as f:
-#        f.write(json.dumps({"hey": 8}))
-
-
 auth_token = os.environ.get("API_TOKEN") or True
 
 def download_image(url):
@@ -63,7 +31,7 @@ model_id_or_path = "CompVis/stable-diffusion-v1-4"
 pipe = StableDiffusionInpaintingPipeline.from_pretrained(
     model_id_or_path,
     revision="fp16", 
-    torch_dtype=torch.half,
+    torch_dtype=torch.double,
     use_auth_token=auth_token
 ).to(device)
 #pipe = pipe.to(device)