Convert to Docker Space for 1GB file upload support

Dockerfile

@@ -0,0 +1,36 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    software-properties-common \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+RUN pip3 install -r requirements.txt
+
+# Copy application files
+COPY . .
+
+# Create .streamlit directory and config
+RUN mkdir -p .streamlit
+COPY .streamlit/config.toml .streamlit/
+
+# Set environment variables for large uploads
+ENV STREAMLIT_SERVER_MAX_UPLOAD_SIZE=1024
+ENV STREAMLIT_SERVER_MAX_MESSAGE_SIZE=1024
+ENV STREAMLIT_SERVER_ENABLE_CORS=false
+ENV STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION=false
+ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
+
+EXPOSE 7860
+
+HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health
+
+# Run Streamlit with custom config
+ENTRYPOINT ["streamlit", "run", "streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.maxUploadSize=1024", "--server.maxMessageSize=1024", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]

README.md

@@ -3,9 +3,7 @@ title: Cell Detection Tool
 emoji: 🔬
 colorFrom: blue
 colorTo: purple
-sdk: streamlit
-sdk_version: 1.28.0
-app_file: streamlit_app.py
+sdk: docker
 startup_duration_timeout: 5m
 suggested_hardware: cpu-basic
 pinned: false

startup.sh

@@ -1,23 +0,0 @@
-#!/bin/bash
-
-# Set Streamlit configuration for large uploads
-export STREAMLIT_SERVER_MAX_UPLOAD_SIZE=1024
-export STREAMLIT_SERVER_MAX_MESSAGE_SIZE=1024
-
-# Create .streamlit directory if it doesn't exist
-mkdir -p ~/.streamlit
-
-# Create config file with large upload settings
-cat > ~/.streamlit/config.toml << EOF
-[server]
-maxUploadSize = 1024
-maxMessageSize = 1024
-enableCORS = false
-enableXsrfProtection = false
-
-[browser]
-gatherUsageStats = false
-EOF
-
-# Run the Streamlit app
-streamlit run streamlit_app.py --server.port=7860 --server.address=0.0.0.0 --server.maxUploadSize=1024

streamlit_app.py

@@ -65,14 +65,16 @@ uploaded = st.file_uploader(
 col1, col2 = st.columns([3, 1])
 with col2:
     with st.expander("💻 Large files?"):
-        st.markdown("""
+        st.markdown(
+            """
         **Having upload issues?**
         
         For files >500MB, consider:
         1. [Run locally](https://github.com/pr28416/cell-detection) 
         2. Try a smaller test file first
         3. Use stable internet connection
-        """)
+        """
+        )
 with col1:
     pass  # File uploader is above
 
@@ -81,7 +83,7 @@ if uploaded is not None:
     try:
         file_size_mb = len(uploaded.getvalue()) / (1024 * 1024)
         st.success(f"✅ Upload successful! File size: {file_size_mb:.1f}MB")
-        
+
         if file_size_mb > 200:
             st.info(
                 f"📁 Large file detected ({file_size_mb:.1f}MB). Processing may take a few minutes..."