Fix: Unsafe path handling and directory pollution in Time Series examples

examples/generative/fine_tune_via_textual_inversion.py

@@ -170,12 +170,12 @@ def assemble_dataset(urls, prompts):
 """
 
 train_ds = assemble_dataset(
-    urls=[
-        "https://i.imgur.com/VIedH1X.jpg",
-        "https://i.imgur.com/eBw13hE.png",
-        "https://i.imgur.com/oJ3rSg7.png",
-        "https://i.imgur.com/5mCL6Df.jpg",
-        "https://i.imgur.com/4Q6WWyI.jpg",
+   urls=[
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/1.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/2.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/3.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/4.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/1.jpeg", 
     ],
     prompts=[
         "a photo of a {}",
@@ -232,12 +232,12 @@ def assemble_dataset(urls, prompts):
 """
 
 single_ds = assemble_dataset(
-    urls=[
-        "https://i.imgur.com/VIedH1X.jpg",
-        "https://i.imgur.com/eBw13hE.png",
-        "https://i.imgur.com/oJ3rSg7.png",
-        "https://i.imgur.com/5mCL6Df.jpg",
-        "https://i.imgur.com/4Q6WWyI.jpg",
+  urls=[
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/1.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/2.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/3.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/4.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/1.jpeg", 
     ],
     prompts=[
         "a photo of a {}",
@@ -278,9 +278,9 @@ def assemble_dataset(urls, prompts):
 
 group_ds = assemble_dataset(
     urls=[
-        "https://i.imgur.com/yVmZ2Qa.jpg",
-        "https://i.imgur.com/JbyFbZJ.jpg",
-        "https://i.imgur.com/CCubd3q.jpg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/6.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/7.jpeg",
+        "https://huggingface.co/datasets/diffusers/cat_toy_example/resolve/main/3.jpeg", 
     ],
     prompts=[
         "a photo of a group of {}",

examples/generative/neural_style_transfer.py

@@ -46,11 +46,16 @@
 import tensorflow as tf
 from keras.applications import vgg19
 
-base_image_path = keras.utils.get_file("paris.jpg", "https://i.imgur.com/F28w3Ac.jpg")
+base_image_path = keras.utils.get_file(
+    "YellowLabradorLooking_new.jpg",
+    "https://storage.googleapis.com/download.tensorflow.org/example_images/YellowLabradorLooking_new.jpg",
+)
 style_reference_image_path = keras.utils.get_file(
-    "starry_night.jpg", "https://i.imgur.com/9ooB60I.jpg"
+    "starry_night.jpg",
+    "https://raw.githubusercontent.com/jcjohnson/neural-style/master/examples/inputs/starry_night.jpg",
 )
-result_prefix = "paris_generated"
+# ✅ NEW
+result_prefix = "style_transfer_result"
 
 # Weights of the different loss components
 total_variation_weight = 1e-6

examples/timeseries/timeseries_traffic_forecasting.py

@@ -83,9 +83,13 @@
 """
 
 url = "https://github.com/VeritasYin/STGCN_IJCAI-18/raw/master/dataset/PeMSD7_Full.zip"
-data_dir = keras.utils.get_file(origin=url, extract=True, archive_format="zip")
-data_dir = data_dir.rstrip("PeMSD7_Full.zip")
+# 1. Download and extract normally
+zip_path = keras.utils.get_file(origin=url, extract=True, archive_format="zip")
 
+# 2. FIX: Use os.path.dirname to safely get the folder where it was extracted
+data_dir = os.path.dirname(zip_path)
+
+# 3. Construct the paths to the inner files safely
 route_distances = pd.read_csv(
     os.path.join(data_dir, "PeMSD7_W_228.csv"), header=None
 ).to_numpy()

examples/timeseries/timeseries_weather_forecasting.py

@@ -10,7 +10,7 @@
 """
 ## Setup
 """
-
+import os
 import pandas as pd
 import matplotlib.pyplot as plt
 import keras
@@ -50,13 +50,19 @@
 15   |wd (deg)       |152.3              |Wind direction in degrees
 """
 
+
+
 from zipfile import ZipFile
 
 uri = "https://storage.googleapis.com/tensorflow/tf-keras-datasets/jena_climate_2009_2016.csv.zip"
 zip_path = keras.utils.get_file(origin=uri, fname="jena_climate_2009_2016.csv.zip")
 zip_file = ZipFile(zip_path)
-zip_file.extractall()
-csv_path = "jena_climate_2009_2016.csv"
+
+# FIX: Extract to the cache directory, not the current working directory
+zip_file.extractall(path=os.path.dirname(zip_path))
+
+# FIX: Construct the absolute path safely (works on Windows/Linux/Mac)
+csv_path = os.path.join(os.path.dirname(zip_path), "jena_climate_2009_2016.csv")
 
 df = pd.read_csv(csv_path)
 

examples/vision/grad_cam.py

@@ -45,9 +45,9 @@
 
 # The local path to our target image
 img_path = keras.utils.get_file(
-    "african_elephant.jpg", "https://i.imgur.com/Bvro0YD.png"
+    "YellowLabradorLooking_new.jpg",
+    "https://storage.googleapis.com/download.tensorflow.org/example_images/YellowLabradorLooking_new.jpg",
 )
-
 display(Image(img_path))