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README.md

@@ -1,23 +1,15 @@
 ---
 title: QuarksLab
-emoji: ⚡
+emoji: "🧪"
 colorFrom: indigo
 colorTo: blue
 sdk: gradio
 sdk_version: 4.44.1
-python_version: 3.10.0
+python_version: 3.10
 app_file: app.py
 pinned: false
-license: mit
 ---
 
-# QuarksLab — TwoQuarks Interactive Lab
-
-Real, interactive experiments. Modify seed/episodes/params and run.
-
-
-
-
 # TwoQuarks — QuarksLab (Interactive)
 
 This is a Hugging Face Space intended to **run real, bounded experiments** from Three Quarks:
@@ -35,4 +27,5 @@ python app.py
 
 ## Deploy to Hugging Face Spaces
 
-Create a new Space (Gradio) and push this repository.
+Create a new Space (Gradio) and push this repository.
+

app.py

@@ -2,6 +2,7 @@ import os
 import sys
 import time
 import uuid
+import json
 from pathlib import Path
 
 import gradio as gr
@@ -103,7 +104,9 @@ def run_down(episodes_per_phase: int, seed: int):
         'artifact_csv': str(out_csv),
     }
 
-    return meta, table_lines, fig, str(out_csv)
+    headers = ['agent', 'phase', 'mean_total_reward', 'std_total_reward', 'mean_valley_visits', 'n']
+    rows = [[row.get(h) for h in headers] for row in table_lines]
+    return json.dumps(meta, indent=2), rows, fig, str(out_csv)
 
 
 def run_antidown(n_episodes: int, base_seed: int):
@@ -190,7 +193,9 @@ def run_antidown(n_episodes: int, base_seed: int):
         'artifact_csv': str(out_csv),
     }
 
-    return meta, table_lines, fig, str(out_csv)
+    headers = ['agent', 'phase', 'mean_reward', 'std_reward', 'n']
+    rows = [[row.get(h) for h in headers] for row in table_lines]
+    return json.dumps(meta, indent=2), rows, fig, str(out_csv)
 
 
 # =========================
@@ -238,7 +243,7 @@ def run_strange(n_episodes: int, max_steps: int, seed: int, mode: str):
         'artifact_csv': str(out_csv),
     }
 
-    return metrics, fig, str(out_csv)
+    return json.dumps(metrics, indent=2), fig, str(out_csv)
 
 
 # =========================
@@ -278,7 +283,7 @@ def run_charm(n_episodes: int, seed: int):
         'artifact_csv': str(out_csv),
     }
 
-    return metrics, fig_r, fig_l, fig_rho, str(out_csv)
+    return json.dumps(metrics, indent=2), fig_r, fig_l, fig_rho, str(out_csv)
 
 
 # =========================
@@ -288,9 +293,10 @@ def run_charm(n_episodes: int, seed: int):
 def build_ui():
     with gr.Blocks(title='TwoQuarks — QuarksLab (Interactive)') as demo:
         gr.Markdown(
-            """# TwoQuarks • QuarksLab (Interactive)\n\n"
-            "Real runs, real knobs: seed/episodes/steps. Short-bounded experiments (public CPU)."
-            """
+            """# TwoQuarks • QuarksLab (Interactive)
+
+Real runs, real knobs: seed/episodes/steps. Short-bounded experiments (public CPU).
+"""
         )
 
         with gr.Tab('DOWN / AntiDown'):
@@ -299,8 +305,12 @@ def build_ui():
                 down_eps = gr.Slider(50, 800, value=200, step=50, label='DOWN: episodes_per_phase')
                 down_seed = gr.Number(value=2025, precision=0, label='DOWN: seed')
                 run_down_btn = gr.Button('Run DOWN')
-            down_meta = gr.JSON(label='DOWN: run meta')
-            down_table = gr.Dataframe(label='DOWN: summary (mean/std by phase+agent)', interactive=False)
+            down_meta = gr.Code(label='DOWN: run meta (JSON)', language='json')
+            down_table = gr.Dataframe(
+                headers=['agent', 'phase', 'mean_reward', 'std_reward', 'n'],
+                label='DOWN: summary (mean/std by phase+agent)',
+                interactive=False,
+            )
             down_plot = gr.Plot(label='DOWN: mean reward by phase')
             down_file = gr.File(label='DOWN: results CSV')
 
@@ -315,8 +325,12 @@ def build_ui():
                 ad_eps = gr.Slider(20, 400, value=120, step=20, label='AntiDown: episodes_per_phase')
                 ad_seed = gr.Number(value=1234, precision=0, label='AntiDown: base seed')
                 run_ad_btn = gr.Button('Run AntiDown')
-            ad_meta = gr.JSON(label='AntiDown: run meta')
-            ad_table = gr.Dataframe(label='AntiDown: summary', interactive=False)
+            ad_meta = gr.Code(label='AntiDown: run meta (JSON)', language='json')
+            ad_table = gr.Dataframe(
+                headers=['agent', 'phase', 'mean_total_reward', 'std_total_reward', 'mean_valley_visits', 'n'],
+                label='AntiDown: summary',
+                interactive=False,
+            )
             ad_plot = gr.Plot(label='AntiDown: mean total reward by phase')
             ad_file = gr.File(label='AntiDown: results CSV')
 
@@ -334,7 +348,7 @@ def build_ui():
                 ssteps = gr.Slider(10, 120, value=50, step=5, label='Max steps per episode')
                 sseed = gr.Number(value=0, precision=0, label='Seed')
             run_s_btn = gr.Button('Run')
-            s_meta = gr.JSON(label='Run meta')
+            s_meta = gr.Code(label='Run meta (JSON)', language='json')
             s_plot = gr.Plot(label='Return per episode')
             s_file = gr.File(label='Results CSV')
             run_s_btn.click(fn=run_strange, inputs=[seps, ssteps, sseed, mode], outputs=[s_meta, s_plot, s_file])
@@ -345,7 +359,7 @@ def build_ui():
                 ceps = gr.Slider(50, 600, value=300, step=50, label='Episodes')
                 cseed = gr.Number(value=0, precision=0, label='Seed')
                 run_c_btn = gr.Button('Run CHARM')
-            c_meta = gr.JSON(label='Run meta')
+            c_meta = gr.Code(label='Run meta (JSON)', language='json')
             c_plot_r = gr.Plot(label='Reward')
             c_plot_l = gr.Plot(label='Lambda')
             c_plot_rho = gr.Plot(label='Rho_mean')
@@ -365,4 +379,8 @@ def build_ui():
 demo = build_ui()
 
 if __name__ == '__main__':
-    demo.launch()
+    demo.launch(
+        server_name='0.0.0.0',
+        server_port=int(os.getenv('PORT', '7860')),
+        show_api=False,
+    )

requirements.txt

@@ -1,4 +1,3 @@
-gradio==4.44.1
-huggingface_hub==0.24.7
 numpy
-matplotlib
+matplotlib
+huggingface_hub<1.0