ww1

requirements.txt

@@ -8,3 +8,5 @@ seaborn
 datasets
 scikit-learn
 Pillow
+requests
+

src/streamlit_app.py

@@ -15,6 +15,24 @@ from sklearn.model_selection import train_test_split
 import os
 from PIL import Image
 import json
+import requests
+
+
+def download_image(image_url, save_path):
+    response = requests.get(image_url)
+    response.raise_for_status()  # Verifica errori di connessione
+    with open(save_path, "wb") as f:
+        f.write(response.content)
+
+# Costruisci i percorsi corretti
+repo_base_path = "/tmp/huggingface/dataset/images/"
+df["image_path"] = df["image"].apply(lambda x: os.path.join(repo_base_path, os.path.basename(x)))
+
+# Scarica le immagini mancanti
+for path in df["image_path"]:
+    if not os.path.exists(path):  # Controlla se il file esiste già
+        image_url = f"https://huggingface.co/datasets/scontess/lissajous/resolve/main/dataset/images/{os.path.basename(path)}"
+        download_image(image_url, path)  # Scarica il file