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Runtime error
Runtime error
Add lossless compression support for large file uploads
Browse files- requirements.txt +2 -0
- streamlit_app.py +110 -14
requirements.txt
CHANGED
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@@ -8,3 +8,5 @@ Pillow>=9.5.0
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imageio>=2.28.0
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plotly>=5.14.0
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streamlit-cropper>=0.2.1
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imageio>=2.28.0
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plotly>=5.14.0
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streamlit-cropper>=0.2.1
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lz4>=4.3.0
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zstandard>=0.21.0
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streamlit_app.py
CHANGED
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@@ -1,6 +1,11 @@
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import os
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import time
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import tempfile
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# Set environment variables for large uploads before importing streamlit
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os.environ["STREAMLIT_SERVER_MAX_UPLOAD_SIZE"] = "1024"
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@@ -22,6 +27,69 @@ from PIL import Image # type: ignore
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from main import inspect_and_preview, _count_dots_on_preview
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# Force configure upload limits using Streamlit's internal config
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try:
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from streamlit import config # type: ignore
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@@ -56,9 +124,9 @@ except:
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# Upload first with better error handling
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st.markdown("### π File Upload")
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uploaded = st.file_uploader(
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"Upload .tif/.tiff image",
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type=["tif", "tiff"],
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help="
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)
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# Show alternative for very large files
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@@ -78,25 +146,53 @@ with col2:
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with col1:
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pass # File uploader is above
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# Show upload progress
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if uploaded is not None:
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try:
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file_size_mb = len(uploaded.getvalue()) / (1024 * 1024)
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st.success(f"β
Upload successful! File size: {file_size_mb:.1f}MB")
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-
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)
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except Exception as e:
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st.error(f"β Upload error: {str(e)}")
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st.error("Please try a smaller file or refresh the page and try again.")
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uploaded = None
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# Helper to render settings panel next to slice preview
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def render_settings_panel():
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import os
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import time
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import tempfile
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import zipfile
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import io
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import gzip
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import lz4.frame
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import zstandard as zstd
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# Set environment variables for large uploads before importing streamlit
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os.environ["STREAMLIT_SERVER_MAX_UPLOAD_SIZE"] = "1024"
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from main import inspect_and_preview, _count_dots_on_preview
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# Compression utilities
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def decompress_file(compressed_data, compression_type):
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"""Decompress uploaded file data"""
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try:
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if compression_type == "zip":
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with zipfile.ZipFile(io.BytesIO(compressed_data), 'r') as zip_ref:
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# Get the first .tif/.tiff file in the archive
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for filename in zip_ref.namelist():
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if filename.lower().endswith(('.tif', '.tiff')):
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return zip_ref.read(filename), filename
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raise ValueError("No TIFF files found in ZIP archive")
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elif compression_type == "gzip":
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return gzip.decompress(compressed_data), "decompressed.tif"
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elif compression_type == "lz4":
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return lz4.frame.decompress(compressed_data), "decompressed.tif"
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elif compression_type == "zstd":
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dctx = zstd.ZstdDecompressor()
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return dctx.decompress(compressed_data), "decompressed.tif"
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else:
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return compressed_data, "uploaded.tif"
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except Exception as e:
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st.error(f"Failed to decompress file: {str(e)}")
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return None, None
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def detect_compression_type(filename):
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"""Detect compression type from file extension"""
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filename_lower = filename.lower()
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if filename_lower.endswith('.zip'):
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return "zip"
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elif filename_lower.endswith('.gz'):
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return "gzip"
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elif filename_lower.endswith('.lz4'):
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return "lz4"
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elif filename_lower.endswith('.zst'):
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return "zstd"
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else:
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return None
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def show_compression_guide():
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"""Display compression guidance for users"""
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st.markdown("""
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### πΎ **File Size Too Large?**
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For files >200MB, try compressing first:
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**Recommended compression tools:**
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- **ZIP**: Built into most operating systems
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- **7-Zip**: Free, excellent compression ratios
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- **WinRAR/WinZip**: Popular on Windows
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**Expected compression ratios for TIFF files:**
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- ZIP: 20-40% reduction
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- 7-Zip: 30-50% reduction
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- LZ4: 15-25% reduction (fastest)
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**Or use our local version** for unlimited file sizes!
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""")
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# Force configure upload limits using Streamlit's internal config
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try:
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from streamlit import config # type: ignore
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# Upload first with better error handling
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st.markdown("### π File Upload")
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uploaded = st.file_uploader(
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"Upload .tif/.tiff image (or compressed .zip/.gz/.lz4/.zst)",
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type=["tif", "tiff", "zip", "gz", "lz4", "zst"],
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help="π‘ Tip: Compress large files to reduce upload time! ZIP, GZ, LZ4, and ZSTD formats supported.",
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)
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# Show alternative for very large files
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with col1:
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pass # File uploader is above
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# Show upload progress and handle compression
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if uploaded is not None:
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try:
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file_size_mb = len(uploaded.getvalue()) / (1024 * 1024)
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st.success(f"β
Upload successful! File size: {file_size_mb:.1f}MB")
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# Detect and handle compression
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compression_type = detect_compression_type(uploaded.name)
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if compression_type:
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st.info(f"ποΈ Compressed file detected ({compression_type.upper()}). Decompressing...")
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# Decompress the file
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decompressed_data, original_filename = decompress_file(uploaded.getvalue(), compression_type)
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if decompressed_data is not None:
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# Calculate compression ratio
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original_size_mb = len(decompressed_data) / (1024 * 1024)
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compression_ratio = (1 - file_size_mb / original_size_mb) * 100
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st.success(f"β
Decompressed successfully! Original size: {original_size_mb:.1f}MB (saved {compression_ratio:.1f}%)")
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# Create a new uploaded file object with decompressed data
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uploaded = type('MockUpload', (), {
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'getvalue': lambda: decompressed_data,
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'name': original_filename
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})()
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file_size_mb = original_size_mb
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else:
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uploaded = None
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if uploaded and file_size_mb > 200:
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st.info(f"π Large file detected ({file_size_mb:.1f}MB). Processing may take a few minutes...")
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elif uploaded and file_size_mb > 500:
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st.warning(f"β οΈ Very large file ({file_size_mb:.1f}MB). Processing will take time. Please keep the browser tab open.")
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except Exception as e:
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st.error(f"β Upload/processing error: {str(e)}")
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st.error("Please try a smaller file or refresh the page and try again.")
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uploaded = None
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# Show compression guide if upload failed or file is too large
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if uploaded is None or (uploaded and len(uploaded.getvalue()) / (1024 * 1024) > 200):
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with st.expander("πΎ Need to compress your file?"):
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show_compression_guide()
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# Helper to render settings panel next to slice preview
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def render_settings_panel():
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