Update artwork_for_sdxl.py

artwork_for_sdxl.py

@@ -34,7 +34,7 @@ Artwork Images, to generate the similar artwork using stable diffusion model.
 """
 
 _URL = "https://huggingface.co/datasets/wintercoming6/artwork_for_sdxl/resolve/main/metadata.jsonl"
-_image_url = "https://huggingface.co/datasets/wintercoming6/artwork_for_sdxl/resolve/main/images"
+_image_url = "https://huggingface.co/datasets/wintercoming6/artwork_for_sdxl/resolve/main/"
 
 class Artwork(datasets.GeneratorBasedBuilder):
     """Artwork Images - a dataset of centuries of Images prompt."""
@@ -55,8 +55,7 @@ class Artwork(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         data_files = dl_manager.download_and_extract(_URL)
         df = pd.read_json(data_files, lines=True)
-        image_files = dl_manager.download_and_extract(_image_url)
-        df['image'] = df['file_name'].apply(lambda x: os.path.join(image_files, x))
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -65,6 +64,11 @@ class Artwork(datasets.GeneratorBasedBuilder):
                 },
             ),
         ]
+    
+    def download_image(self, url):
+        response = requests.get(url)
+        img = Image.open(io.BytesIO(response.content))
+        return img
 
     def _generate_examples(self, files):
         cnt=0
@@ -78,7 +82,8 @@ class Artwork(datasets.GeneratorBasedBuilder):
             print(type(path.file_name))
             # print current os directory
             print(os.getcwd())
+            img = download_image(self, _image_url+ path.file_name)
             yield {
               "prompt": path.prompt,
-              "image_data": Image.open(path.image),
+              "image_data": img,
             }