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.")