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import gradio as gr
import os
from process import process_data
def makeButtonClickableFiles(files):
"""Makes a button interactive only if all files in the list have correct extensions.
Args:
files (list): List of uploaded file objects.
Returns:
_type_: Button state (interactive or not) and possibly a warning message.
"""
if not files:
return gr.Button(interactive=False)
allowed_extensions = ["xls", "xlsx"]
for file in files:
base_name = os.path.basename(file.name)
# Extract the file extension and check if it's in the allowed list.
if base_name.split('.')[-1].lower() not in allowed_extensions:
raise gr.Error(f"Unsupported file: {base_name}.Allowed extensions: .xls .xlsx")
return gr.Button(interactive=True)
# Define a Gradio interface
with gr.Blocks() as demo:
with gr.Row():
header = gr.Markdown(("<h1>MindBody VS. Medserv Checker </h1>"))
with gr.Row():
with gr.Column():
file_uploader_mindbody = gr.Files(
label=("Upload MindBody"),
file_count="multiple",
file_types=[".xlsx", '.xls'],
container=True,
interactive=True,
scale=1,
)
with gr.Column():
file_uploader_medserv = gr.Files(
label=("Upload Medserv"),
file_count= "multiple",
file_types=[".xlsx", '.xls'],
container=True,
interactive=True,
scale=1,
)
with gr.Row():
tollerance = gr.Slider(0, 7, value = 1, step = 1, interactive = True, label="Days Tollerance",
info="Set the number of days of tolerance to match the sale dates between MindBody and Medserve (0 = no tolerance / exact match).")
with gr.Row():
file_process_button = gr.Button(
value="PROCESS FILES",
interactive=False,
)
with gr.Row():
processed_file = gr.Files(
label=("Output File"),
file_count="single",
interactive=False,
elem_classes="gradio-file",
)
file_uploader_mindbody.change(
fn=makeButtonClickableFiles,
inputs=[file_uploader_mindbody],
outputs=[file_process_button])
file_uploader_medserv.change(
fn=makeButtonClickableFiles,
inputs=[file_uploader_medserv],
outputs=[file_process_button])
file_process_button.click(
fn = process_data,
inputs = [file_uploader_mindbody, file_uploader_medserv, tollerance],
outputs = processed_file)
if __name__ == "__main__":
demo.queue().launch() |