ImageToAutocad / app.py
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import gradio as gr
import subprocess
import os
import tempfile
import datetime
from huggingface_hub import upload_file
def convert_image_to_dxf(image_file, output_folder=None):
try:
# Validate input image
if image_file is None:
return "No image provided", None, None
# Define output folder, using a temp directory if none is specified
if not output_folder:
output_folder = tempfile.mkdtemp()
else:
os.makedirs(output_folder, exist_ok=True)
# Generate the date-based output file name
current_date = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
image_path = image_file
output_path = os.path.join(output_folder, f"{current_date}_output.dxf")
debug_output_path = os.path.join(output_folder, f"{current_date}_debug.png")
# Execute conversion command
result = subprocess.run(
["./SimpleImageToDxfHavePass", "--use-lines", f"--imagePath={image_path}", f"--outputPath={output_path}", f"--debug-output={debug_output_path}"],
check=True,
capture_output=True
)
# Log stdout for debugging
print(result.stdout.decode('utf-8'))
# Check if conversion was successful
if not os.path.exists(output_path):
return "Conversion failed: DXF file was not created.", None, None
# Prepare folder structure for upload
date_folder = f"{current_date}"
hf_token = os.getenv("HF_TOKEN")
if not hf_token:
return "Hugging Face token not found", None, None
# Upload input image, output DXF, and debug image to Hugging Face in a date-based folder
uploaded_files = []
# Upload input image
uploaded_input = upload_file(
path_or_fileobj=image_path,
path_in_repo=f"ImageToAutocadData/{date_folder}/{os.path.basename(image_path)}",
repo_id="ArrcttacsrjksX/ImageToAutocadData",
token=hf_token
)
uploaded_files.append(uploaded_input)
# Upload DXF output
uploaded_dxf = upload_file(
path_or_fileobj=output_path,
path_in_repo=f"ImageToAutocadData/{date_folder}/{os.path.basename(output_path)}",
repo_id="ArrcttacsrjksX/ImageToAutocadData",
token=hf_token
)
uploaded_files.append(uploaded_dxf)
# Upload debug image
uploaded_debug = upload_file(
path_or_fileobj=debug_output_path,
path_in_repo=f"ImageToAutocadData/{date_folder}/{os.path.basename(debug_output_path)}",
repo_id="ArrcttacsrjksX/ImageToAutocadData",
token=hf_token
)
uploaded_files.append(uploaded_debug)
# Generate download links for each uploaded file
links = [f"https://huggingface.co/{uploaded_file.repo_id}/blob/main/{uploaded_file.path_in_repo}" for uploaded_file in uploaded_files]
return f"Files uploaded successfully. Download links:\n" + "\n".join(links), debug_output_path, output_path
except subprocess.CalledProcessError as e:
error_msg = f"Error converting image to DXF: {e.stderr.decode('utf-8') if e.stderr else e}"
return error_msg, None, None
def main():
with gr.Blocks() as demo:
with gr.Tabs():
# Tab for conversion
with gr.TabItem("Image to DXF"):
gr.Markdown("# SimpleImageToDxfHavePass")
# Input row for image and optional output folder
with gr.Row():
image_input = gr.Image(type="filepath", label="Input Image (PNG/JPG)")
output_folder = gr.Textbox(label="Output Folder (optional)", placeholder="Leave blank to use a temporary folder")
# Outputs: Debug image and DXF file download link
with gr.Row():
debug_output = gr.Image(type="filepath", label="Debug Output Preview")
dxf_output = gr.Textbox(label="DXF File Download Link", placeholder="The link will appear here")
# Conversion button with event binding
convert_btn = gr.Button("Convert to DXF")
convert_btn.click(
convert_image_to_dxf,
inputs=[image_input, output_folder],
outputs=[dxf_output, debug_output, dxf_output]
)
# About tab
with gr.TabItem("About"):
gr.Markdown("This Gradio app allows users to convert an image to a DXF file using the SimpleImageToDxfHavePass command-line tool.")
demo.launch()
if __name__ == "__main__":
try:
subprocess.run(['chmod', '+x', './SimpleImageToDxfHavePass'], check=True)
except subprocess.CalledProcessError as e:
print(f"Error setting permissions: {e}")
exit(1)
main()