Integrate --config workflow into mea_pipeline_gui.py + fix fixed_y propagation

[Copilot]

The GUI had no support for the --config JSON workflow, requiring users to pass all settings as CLI flags. Additionally, generate_reports() was missing fixed_y in its signature, causing a TypeError at runtime.

GUI: CONFIG FILE section

• New CONFIG FILE section at top of GUI with path entry + Browse button
• Load Config → populate fields: reads a JSON config and pre-fills output_dir, checkpoint_dir, sorter, docker_image, reference_file, export_to_phy, clean_up, no_curation, fixed_y
• Save Config ← current fields: serializes current GUI state to a config JSON matching config_loader.py's schema
• --config <path> injected into the generated command when set; CLI flag overrides are preserved

Bug fix: fixed_y propagation through generate_reports()

generate_reports() accepted no fixed_y param but callers passed fixed_y=fixed_y, causing a crash:

# Before — TypeError at runtime
def generate_reports(self, ..., raster_sort=None):
    self._run_burst_analysis(clean_units, ..., raster_sort=raster_sort)

# After
def generate_reports(self, ..., raster_sort=None, fixed_y=False):
    self._run_burst_analysis(clean_units, ..., raster_sort=raster_sort, fixed_y=fixed_y)

Minor

• Removed duplicate fixed_y checkbox entry in OPTIONS list

Original prompt

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This section details on the original issue you should resolve

<issue_title>Think of a way to integrate Shruti IPNANALYSIS GUI to the config style run.</issue_title>
<issue_description></issue_description>

<agent_instructions>mea_pipeline_gui.py to work with the --config based workflow</agent_instructions>

Comments on the Issue (you are @copilot in this section)

• Fixes Think of a way to integrate Shruti IPNANALYSIS GUI to the config style run. #134

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