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