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import streamlit as st
import os
from os.path import join as osp
import subprocess
import zipfile
import io
import shutil
import time
def run_bash_script(input_image_path, output_path, progress_placeholder, status_text):
bash_command = f"bash config/text_detection.sh -s {input_image_path} -t {output_path}"
process = subprocess.Popen(bash_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
progress = 0
for line in process.stdout:
st.text(line.strip())
progress += 0.1
progress_placeholder.progress(min(progress, 1.0))
# Capture and display stderr
stderr_output = process.stderr.read()
if stderr_output:
status_text.error("Error output:")
st.code(stderr_output, language="bash")
rc = process.wait()
return rc, stderr_output
def zip_result_files(result_folder):
zip_buffer = io.BytesIO()
with zipfile.ZipFile(zip_buffer, "w", zipfile.ZIP_DEFLATED) as zip_file:
for root, _, files in os.walk(result_folder):
for file in files:
if file.endswith(".png"):
file_path = os.path.join(root, file)
arcname = os.path.relpath(file_path, result_folder)
zip_file.write(file_path, arcname)
return zip_buffer
st.title("Text Detection App")
uploaded_file = st.file_uploader("Choose an image file", type=["jpg", "jpeg", "png"])
if uploaded_file is not None:
st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
# Create a temporary directory for processing
# Save the uploaded file temporarily
input_path = "test_folder"
output_path = "target_test"
os.makedirs(input_path, exist_ok=True)
os.makedirs(osp(output_path, "result"), exist_ok=True)
os.makedirs(osp(output_path, "mask"), exist_ok=True)
input_file_path = os.path.join(input_path, uploaded_file.name)
with open(input_file_path, "wb") as f:
f.write(uploaded_file.getbuffer())
if st.button("Run Text Detection"):
progress_placeholder = st.empty()
status_text = st.empty()
try:
status_text.text("Running text detection...")
os.makedirs(input_path, exist_ok=True)
os.makedirs(osp(output_path, "result"), exist_ok=True)
os.makedirs(osp(output_path, "mask"), exist_ok=True)
rc, stderr_output = run_bash_script(input_path, output_path, progress_placeholder, status_text)
if rc == 0:
status_text.text("Text detection completed successfully!")
result_folder = os.path.join(output_path, "result")
if os.path.exists(result_folder):
st.write("You can now download the results.")
# Add download button
zip_buffer = zip_result_files(result_folder)
st.download_button(
label="Download Results",
data=zip_buffer.getvalue(),
file_name="text_detection_results.zip",
mime="application/zip"
)
else:
st.error("Result folder not found. The text detection might have failed.")
else:
st.error(f"Text detection failed with return code {rc}")
if stderr_output:
st.error("Error details:")
st.code(stderr_output, language="bash")
except Exception as e:
st.error(f"An error occurred: {str(e)}")
finally:
# Clean up temporary files
shutil.rmtree(osp(output_path, "mask"), ignore_errors=True)
progress_placeholder.empty()
status_text.empty()
st.write("Note: The download button will appear after running text detection.")
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