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38c614d
1
Parent(s):
04f0937
feat: upload stepping
Browse files- app.py +157 -92
- requirements.txt +1 -0
app.py
CHANGED
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import boto3
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import gradio as gr
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import os
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from dotenv import load_dotenv
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load_dotenv()
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ACCOUNT_ID = os.getenv('AWS_ACCOUNT_ID', '')
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@@ -12,6 +14,8 @@ AWS_S3_BUCKET_NAME = os.getenv('AWS_S3_BUCKET_NAME', '')
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is_dev = os.environ.get('ENV', 'DEV') != 'PROD'
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s3_client = boto3.client(
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service_name='s3',
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region_name=AWS_DEFAULT_REGION,
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p = os.environ.get('PASSWORD')
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return (username == u and password == p)
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# Function to list images in a specific S3 bucket
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def list_images_in_bucket(bucket_name):
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response = s3_client.list_objects_v2(Bucket=bucket_name)
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# Function to upload files to S3
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def upload_files(files, progress=gr.Progress()):
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# Function to fetch and display images
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def display_images():
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image_keys = list_images_in_bucket(AWS_S3_BUCKET_NAME)
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image_urls = get_image_urls(AWS_S3_BUCKET_NAME, image_keys)
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# print(image_keys)
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# print(image_urls)
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# Function to delete a file from S3
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def delete_image(file_key):
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# print(f"You selected {evt.value} at {evt.index} from {evt.target}")
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# print(f"You selected {evt.value['image']['orig_name']}")
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return evt.value['image']['orig_name']
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# ---------------------------------------------------------------------------
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@@ -77,80 +126,96 @@ def list_files_in_bucket(bucket_name):
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def get_files_urls(bucket_name, file_keys):
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return [s3_client.generate_presigned_url('get_object', Params={'Bucket': bucket_name, 'Key': key}) for key in file_keys]
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return file_urls, file_keys
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# Function to delete a file from S3
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def delete_files(file_key):
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if isinstance(file_key, list):
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for k in file_key:
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print(f'Removing "{k}"...')
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s3_client.delete_object(Bucket=AWS_S3_BUCKET_NAME, Key=k)
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else:
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# Create a Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# **Data collector**")
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with gr.
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with gr.
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gr.
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""")
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""")
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""")
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# Launch the Gradio app
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demo.launch(auth=auth if not is_dev else None)
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import boto3
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import botocore
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import gradio as gr
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import os
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from dotenv import load_dotenv
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import pandas as pd
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load_dotenv()
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ACCOUNT_ID = os.getenv('AWS_ACCOUNT_ID', '')
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is_dev = os.environ.get('ENV', 'DEV') != 'PROD'
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job_no = ''
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selected_file_index = 0
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s3_client = boto3.client(
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service_name='s3',
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region_name=AWS_DEFAULT_REGION,
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p = os.environ.get('PASSWORD')
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return (username == u and password == p)
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def set_key(key, prefix=''):
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return f'{prefix}/{key}' if len(prefix) > 0 else key
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# Function to list files in S3 bucket
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def list_object_in_bucket(bucket_name, prefix=''):
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response = s3_client.list_objects_v2(Bucket=bucket_name, Prefix=prefix)
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return [obj['Key'] for obj in response.get('Contents', [])]
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# Function to list images in a specific S3 bucket
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def list_images_in_bucket(bucket_name):
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response = s3_client.list_objects_v2(Bucket=bucket_name)
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# Function to upload files to S3
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def upload_files(files, progress=gr.Progress()):
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global job_no
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req_id = os.environ.get('USERNAME')
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try:
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for file in progress.tqdm(files, desc="Uploading..."):
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file_name = os.path.basename(file.name)
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with open(file.name, 'rb') as f:
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print(f' - Uploading "{file_name}" to "{job_no}"...')
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# s3_client.upload_fileobj(f, AWS_S3_BUCKET_NAME, file_name)
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key = set_key(file_name, job_no)
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s3_client.put_object(
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Body=f,
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Bucket=AWS_S3_BUCKET_NAME,
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Key=key,
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Metadata={
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'x-request-id': req_id,
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})
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print('Done')
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except botocore.exceptions.ClientError as error:
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if error.response['Error']['Code'] == 'LimitExceededException':
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print('API call limit exceeded; backing off and retrying...')
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else:
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print(error)
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except botocore.exceptions.ParamValidationError as error:
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print('The parameters you provided are incorrect: {}'.format(error))
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return display_images(job_no)
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# Function to fetch and display images
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def display_images(job_no):
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# image_keys = list_images_in_bucket(AWS_S3_BUCKET_NAME)
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# image_urls = get_image_urls(AWS_S3_BUCKET_NAME, image_keys)
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# # print(image_keys)
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# # print(image_urls)
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# return None, image_urls, image_keys
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return None, \
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pd.DataFrame({
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"keys": list_object_in_bucket(AWS_S3_BUCKET_NAME, job_no)
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})
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# Function to delete a file from S3
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def delete_image(file_key, search_fpath):
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try:
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if isinstance(file_key, list):
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for k in file_key:
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print(f'Removing "{k}" from list...')
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s3_client.delete_object(Bucket=AWS_S3_BUCKET_NAME, Key=k)
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else:
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print(f'Removing "{file_key}"...')
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s3_client.delete_object(Bucket=AWS_S3_BUCKET_NAME, Key=file_key)
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except Exception as e:
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print(f'Error delete_image: {str(e)}')
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image_keys = list_object_in_bucket(AWS_S3_BUCKET_NAME, search_fpath)
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if len(image_keys) == 0:
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image_keys = []
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return pd.DataFrame({ "keys": image_keys }), image_keys
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def update_dropdown_image(search_fpath, evt: gr.SelectData):
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# print(f"You selected {evt.value} at {evt.index} from {evt.target}")
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# print(f"You selected {evt.value['image']['orig_name']}")
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return set_key(evt.value['image']['orig_name'], search_fpath)
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# ---------------------------------------------------------------------------
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def get_files_urls(bucket_name, file_keys):
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return [s3_client.generate_presigned_url('get_object', Params={'Bucket': bucket_name, 'Key': key}) for key in file_keys]
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def onchange_job_no(v):
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global job_no
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job_no = v
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if len(v) > 0:
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isinteractive = True
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isempty = False
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else:
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isinteractive = False
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isempty = True
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return gr.Button("ยืนยัน job no.", interactive=isinteractive), \
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gr.File(label="Upload Images", file_count="multiple", height=400, interactive=(not isempty and not isinteractive)), \
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gr.Button("Upload Files", interactive=(not isempty and not isinteractive))
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def onclick_confirm_job_no():
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global job_no
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return gr.Button("ยืนยัน job no.", interactive=False), \
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gr.File(label="Upload Images", file_count="multiple", height=400, interactive=True), \
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gr.Button("Upload Files", interactive=True), \
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job_no
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def onselect_file(files, evt: gr.SelectData):
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global selected_file_index
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selected_file_index = evt.index[0]
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fpath = files.iloc[selected_file_index]
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file_urls = get_files_urls(AWS_S3_BUCKET_NAME, fpath)
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return file_urls[0]
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def onclick_search_by_key(prefix):
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image_keys = list_object_in_bucket(AWS_S3_BUCKET_NAME, prefix)
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gallery = get_image_urls(AWS_S3_BUCKET_NAME, image_keys)
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return pd.DataFrame({ "keys": image_keys }), gallery
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# Create a Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("# **Data collector**")
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with gr.Tabs():
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with gr.Tab('Upload'):
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with gr.Column():
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gr.Markdown("""## **1. กำหนด job no.**
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เพื่อใช้ในการอ้างอิงหรือเชื่อมโยงกลุ่มของข้อมูลที่ทำการ upload ขึ้นมา
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""")
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job_no = gr.Textbox('', label='Job no.')
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set_job_no_btn = gr.Button("ยืนยัน job no.", interactive=False)
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with gr.Column():
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gr.Markdown("""## **2. Upload files**
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1. โยนไฟล์ (drag/drop) ไปยัง ***ไฟล์ list ทาง panel ทางด้านซ้าย*** ได้มากกว่า 1 ไฟล์
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2. กด **Upload Files**
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""")
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file_uploader = gr.File(label="Upload Images", file_count="multiple", height=400, interactive=False)
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upload_btn = gr.Button("Upload Files", interactive=False)
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with gr.Tab('Preview'):
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with gr.Row():
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with gr.Column(scale=2):
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search_fpath = gr.Textbox('', label='Job no.')
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search_btn = gr.Button("Search")
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files_in_bucket = gr.Dataframe(label='Files', height=600)
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with gr.Column(scale=4):
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with gr.Tabs():
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with gr.Tab('Image'):
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image = gr.Image()
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with gr.Tab('Gallery'):
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gr.Markdown("""
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กดที่ **Refresh Gallery** เพื่อดูข้อมูลของ job no. นั้นๆ
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""")
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img_gallery = gr.Gallery(label="Images from S3", columns=9, height=600, interactive=True)
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gr.Markdown("""### ***Delete images***
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กรณีต้องการลบไฟล์ ท่านสามารถเลือกภาพที่สนใจ แล้วกด **Delete Selected Files** แต่ถ้าต้องการลบมากกว่า 1 file ให้ใส่ชื่อไฟล์ คั่นด้วย comma (,)
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""")
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img_selected_image = gr.Dropdown(choices=[], label="Select Image to Delete", allow_custom_value=True)
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img_delete_btn = gr.Button("Delete Selected Files")
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job_no.change(fn=onchange_job_no, inputs=[job_no], outputs=[set_job_no_btn, file_uploader, upload_btn])
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set_job_no_btn.click(fn=onclick_confirm_job_no, inputs=[], outputs=[set_job_no_btn, file_uploader, upload_btn, search_fpath])
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upload_btn.click(fn=upload_files, inputs=[file_uploader], outputs=[file_uploader, files_in_bucket])# img_gallery, img_selected_image])
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img_delete_btn.click(fn=delete_image, inputs=[img_selected_image, search_fpath], outputs=[img_gallery, img_selected_image])
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img_gallery.select(fn=update_dropdown_image, inputs=[search_fpath], outputs=img_selected_image)
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search_btn.click(fn=onclick_search_by_key, inputs=[search_fpath], outputs=[files_in_bucket, img_gallery])
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files_in_bucket.select(fn=onselect_file, inputs=[files_in_bucket], outputs=[image])
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# Launch the Gradio app
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demo.launch(auth=auth if not is_dev else None)
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requirements.txt
CHANGED
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boto3
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gradio
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pillow
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python-dotenv
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boto3
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botocore
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gradio
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pillow
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python-dotenv
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