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Fix: Copy sample_cases.csv to Docker image
Browse files- Dockerfile +1 -0
- app.py +19 -7
Dockerfile
CHANGED
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@@ -26,6 +26,7 @@ RUN pip3 install --no-cache-dir --break-system-packages gradio>=4.44.0 requests
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# Copy the app files
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COPY app.py /app/
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COPY julia_server.jl /app/
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# Expose Gradio port
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EXPOSE 7860
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# Copy the app files
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COPY app.py /app/
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COPY julia_server.jl /app/
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COPY sample_cases.csv /app/
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# Expose Gradio port
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EXPOSE 7860
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app.py
CHANGED
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@@ -86,13 +86,27 @@ SYMPTOM_LABELS = {
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# Sample Test Cases - Loaded from CSV
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# ============================================================================
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def load_sample_cases(
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"""Load sample test cases from CSV file for transparency and trust."""
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cases = []
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#
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try:
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with open(csv_path, 'r', encoding='utf-8') as f:
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@@ -106,10 +120,8 @@ def load_sample_cases(csv_path="sample_cases.csv"):
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"confidence": f"~{row['confidence_range']}"
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})
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print(f"Loaded {len(cases)} sample cases from {csv_path}")
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except FileNotFoundError:
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print(f"Warning: {csv_path} not found, using empty cases")
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except Exception as e:
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print(f"Error loading sample cases: {e}")
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return cases
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# Sample Test Cases - Loaded from CSV
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# ============================================================================
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def load_sample_cases(csv_filename="sample_cases.csv"):
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"""Load sample test cases from CSV file for transparency and trust."""
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cases = []
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# Try multiple paths for Docker and local environments
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possible_paths = [
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os.path.join("/app", csv_filename), # Docker workdir
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os.path.join(os.path.dirname(os.path.abspath(__file__)), csv_filename), # Same dir as script
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csv_filename, # Current working directory
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os.path.join(os.getcwd(), csv_filename), # Explicit cwd
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]
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csv_path = None
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for path in possible_paths:
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if os.path.exists(path):
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csv_path = path
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break
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if csv_path is None:
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print(f"Warning: {csv_filename} not found in any of: {possible_paths}")
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return cases
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try:
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with open(csv_path, 'r', encoding='utf-8') as f:
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"confidence": f"~{row['confidence_range']}"
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})
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print(f"Loaded {len(cases)} sample cases from {csv_path}")
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except Exception as e:
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print(f"Error loading sample cases from {csv_path}: {e}")
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return cases
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