Fix Gradio schema error and deployment configuration

Fixed critical bug from HuggingFace leaderboard template that caused TypeError during Gradio schema validation.

Changes:
- src/display/utils.py: Fixed EvalQueueColumn.weight_type parameter from "Original" (string) to True (bool)
The ColumnContent class expects (name, type, displayed_by_default) where displayed_by_default must be bool
- app.py: Added share=True and server_name="0.0.0.0" to launch() for HuggingFace Space deployment
- .gitignore: Added .gradio/ directory

This fixes the error: "TypeError: argument of type 'bool' is not iterable"

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

.gitignore

@@ -11,3 +11,4 @@ eval-results/
 eval-queue-bk/
 eval-results-bk/
 logs/
+.gradio/

app.py

@@ -201,4 +201,4 @@ with demo:
 scheduler = BackgroundScheduler()
 scheduler.add_job(restart_space, "interval", seconds=1800)
 scheduler.start()
-demo.queue(default_concurrency_limit=40).launch()
+demo.queue(default_concurrency_limit=40).launch(share=True, server_name="0.0.0.0")

src/display/utils.py

@@ -50,7 +50,7 @@ class EvalQueueColumn:  # Queue column
     revision = ColumnContent("revision", "str", True)
     private = ColumnContent("private", "bool", True)
     precision = ColumnContent("precision", "str", True)
-    weight_type = ColumnContent("weight_type", "str", "Original")
+    weight_type = ColumnContent("weight_type", "str", True)
     status = ColumnContent("status", "str", True)
 
 ## All the model information that we might need