Update app.py

app.py

@@ -25,71 +25,6 @@ from sklearn.svm import SVC
 # Ignore FutureWarning messages
 warnings.simplefilter(action='ignore', category=FutureWarning)
 
-import os
-import sys
-from tempfile import NamedTemporaryFile
-from urllib.request import urlopen
-from urllib.parse import unquote, urlparse
-from urllib.error import HTTPError
-from zipfile import ZipFile
-import tarfile
-import shutil
-
-CHUNK_SIZE = 40960
-DATA_SOURCE_MAPPING = 'sentiment-analysis-dataset:https%3A%2F%2Fstorage.googleapis.com%2Fkaggle-data-sets%2F989445%2F1808590%2Fbundle%2Farchive.zip%3FX-Goog-Algorithm%3DGOOG4-RSA-SHA256%26X-Goog-Credential%3Dgcp-kaggle-com%2540kaggle-161607.iam.gserviceaccount.com%252F20240418%252Fauto%252Fstorage%252Fgoog4_request%26X-Goog-Date%3D20240418T100202Z%26X-Goog-Expires%3D259200%26X-Goog-SignedHeaders%3Dhost%26X-Goog-Signature%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'
-
-KAGGLE_INPUT_PATH='/kaggle/input'
-KAGGLE_WORKING_PATH='/kaggle/working'
-KAGGLE_SYMLINK='kaggle'
-
-import subprocess
-subprocess.run(["umount", "/kaggle/input/"], stderr=subprocess.DEVNULL)
-shutil.rmtree('/kaggle/input', ignore_errors=True)
-os.makedirs(KAGGLE_INPUT_PATH, 0o777, exist_ok=True)
-os.makedirs(KAGGLE_WORKING_PATH, 0o777, exist_ok=True)
-
-try:
-  os.symlink(KAGGLE_INPUT_PATH, os.path.join("..", 'input'), target_is_directory=True)
-except FileExistsError:
-  pass
-try:
-  os.symlink(KAGGLE_WORKING_PATH, os.path.join("..", 'working'), target_is_directory=True)
-except FileExistsError:
-  pass
-
-for data_source_mapping in DATA_SOURCE_MAPPING.split(','):
-    directory, download_url_encoded = data_source_mapping.split(':')
-    download_url = unquote(download_url_encoded)
-    filename = urlparse(download_url).path
-    destination_path = os.path.join(KAGGLE_INPUT_PATH, directory)
-    try:
-        with urlopen(download_url) as fileres, NamedTemporaryFile() as tfile:
-            total_length = fileres.headers['content-length']
-            print(f'Downloading {directory}, {total_length} bytes compressed')
-            dl = 0
-            data = fileres.read(CHUNK_SIZE)
-            while len(data) > 0:
-                dl += len(data)
-                tfile.write(data)
-                done = int(50 * dl / int(total_length))
-                sys.stdout.write(f"\r[{'=' * done}{' ' * (50-done)}] {dl} bytes downloaded")
-                sys.stdout.flush()
-                data = fileres.read(CHUNK_SIZE)
-            if filename.endswith('.zip'):
-              with ZipFile(tfile) as zfile:
-                zfile.extractall(destination_path)
-            else:
-              with tarfile.open(tfile.name) as tarfile:
-                tarfile.extractall(destination_path)
-            print(f'\nDownloaded and uncompressed: {directory}')
-    except HTTPError as e:
-        print(f'Failed to load (likely expired) {download_url} to path {destination_path}')
-        continue
-    except OSError as e:
-        print(f'Failed to load {download_url} to path {destination_path}')
-        continue
-
-print('Data source import complete.')
 
 import numpy as np # linear algebra
 import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)