remove local storage of images

app.py

@@ -230,18 +230,17 @@ def prepare_images(scientific_name: str):
             print(f"Deleted: {file_path}")
     
     # Save images to assets
-    download_images(f"https://ebird.org/species/{scode}")
-
-    # Return array of local image paths
+    urls = download_images(f"https://ebird.org/species/{scode}")
+    
+    # Return array of remote image urls labelled
     nsplit = scientific_name.split(" ")
     abbreviate_name = nsplit[0][0] + "." + " " + nsplit[1] 
-    images = []
-    for img_file in os.listdir("./assets"):
-        if img_file.lower().endswith(('.png', '.jpg', '.jpeg')):
-            images.append((os.path.join("./assets", img_file),  abbreviate_name))
-
-    return images
-
+    
+    # If empty, do not iterate
+    if not urls:
+        return []
+    
+    return [(url, abbreviate_name) for url in urls]
 
 sp_and_cl = """<div align="center">
 <b> <h2> Class and Species Prediction </h2> </b>

fetch_img.py

@@ -36,10 +36,7 @@ def get_bird_info(species_code : str):
     data = response.content
     return data
 
-def download_images(url, folder_path='./assets'):
-    # Create a folder to save images if it doesn't exist
-    if not os.path.exists(folder_path):
-        os.makedirs(folder_path)
+def download_images(url):
     
     # Fetch the HTML content of the webpage
     response = requests.get(url, verify=False)
@@ -56,14 +53,8 @@ def download_images(url, folder_path='./assets'):
     # Extract image URLs
     img_urls = [urljoin(url, img['src']) for img in img_tags if 'src' in img.attrs]
     img_urls = [el for el in img_urls if "api" in el and "asset" in el]
-    # Download each image
-    for i, img_url in enumerate(img_urls):
-        try:
-            img_path = os.path.join(folder_path, f'image_{i+1}.jpg')
-            urllib.request.urlretrieve(img_url, img_path)
-            print(f"Downloaded: {img_url}")
-        except Exception as e:
-            print(f"Failed to download {img_url}. Error: {e}")
+
+    return img_urls
 
 if __name__ == '__main__':
     bird_tax = pd.read_csv("ebird_taxonomy_v2023.csv")