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Fix ECG startup, signal validation, and request isolation - #1
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The app now loads its CNN relative to its source file, rejects missing/nonfinite or constant signals, and normalizes large finite samples safely. Plots use independent figures and image buffers so concurrent requests cannot share a temporary file. Model outputs must be valid binary probabilities, and user-facing failures omit internal paths and stack traces while retaining server logs.
The README uses the actual Gradio startup command and port. Added development dependencies and a Python 3.11 GitHub Actions workflow to match the declared Render runtime.
Validation: 34 tests passed on Python 3.12, including startup from another working directory, concurrent plot rendering, validation edge cases, and an actual prediction using the checked-in TensorFlow 2.19 CNN. Keras emitted one dependency deprecation warning during the real prediction; all tests passed. Live Render deployment was not exercised.