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app.py

@@ -399,7 +399,7 @@ with gr.Blocks(title="MLOL — MultiDomain LLM Optimisation Lab", css=CSS) as de
                 prep_btn = gr.Button("1️⃣ Prepare dataset", variant="primary")
             with gr.Column(scale=2):
                 prep_md = gr.Markdown()
-                run_dd = gr.Dropdown(choices=run_choices(), label="Active experiment", interactive=True)
+                run_dd = gr.Dropdown(choices=run_choices(), label="Active experiment", interactive=True, allow_custom_value=True)
                 run_refresh = gr.Button("↻ refresh experiments", size="sm")
                 run_refresh.click(lambda: gr.update(choices=run_choices()), None, run_dd)
                 with gr.Accordion("Training configuration", open=True):
@@ -481,7 +481,7 @@ with gr.Blocks(title="MLOL — MultiDomain LLM Optimisation Lab", css=CSS) as de
         gr.Markdown("Baseline vs fine-tuned with **identical items and seeds**, bootstrap CIs, and "
                     "paired permutation significance (α=0.05). Sampled evaluation — the certificate "
                     "always discloses n, seed, and that the full benchmark was not executed.")
-        ev_run = gr.Dropdown(choices=run_choices(), label="Experiment")
+        ev_run = gr.Dropdown(choices=run_choices(), label="Experiment", allow_custom_value=True)
         gr.Button("↻ refresh", size="sm").click(lambda: gr.update(choices=run_choices()), None, ev_run)
         ev_view = gr.Button("Show stored evaluations")
         ev_md = gr.Markdown()
@@ -509,7 +509,7 @@ with gr.Blocks(title="MLOL — MultiDomain LLM Optimisation Lab", css=CSS) as de
         ev_view.click(show_evals, ev_run, ev_md)
 
     with gr.Tab("📄 Reports"):
-        rp_run = gr.Dropdown(choices=run_choices(), label="Experiment")
+        rp_run = gr.Dropdown(choices=run_choices(), label="Experiment", allow_custom_value=True)
         gr.Button("↻ refresh", size="sm").click(lambda: gr.update(choices=run_choices()), None, rp_run)
         rp_btn = gr.Button("Generate optimisation report + certificate", variant="primary")
         rp_md = gr.Markdown()
@@ -520,8 +520,8 @@ with gr.Blocks(title="MLOL — MultiDomain LLM Optimisation Lab", css=CSS) as de
         rp_btn.click(generate_reports, rp_run, [rp_md, rp_pdf, rp_csv, rp_json])
         gr.Markdown("### Research dashboard — compare any two experiments")
         with gr.Row():
-            cmp_a = gr.Dropdown(choices=run_choices(), label="Experiment A")
-            cmp_b = gr.Dropdown(choices=run_choices(), label="Experiment B")
+            cmp_a = gr.Dropdown(choices=run_choices(), label="Experiment A", allow_custom_value=True)
+            cmp_b = gr.Dropdown(choices=run_choices(), label="Experiment B", allow_custom_value=True)
         cmp_btn = gr.Button("Compare")
         cmp2_tbl = gr.Dataframe(interactive=False)
 
@@ -586,7 +586,7 @@ with gr.Blocks(title="MLOL — MultiDomain LLM Optimisation Lab", css=CSS) as de
                                                   if p.id == CFG.default_provider), None),
                                       label="LLM provider")
             as_key = gr.Textbox(label="API key (only for Claude/GPT; never stored)", type="password")
-            as_run = gr.Dropdown(choices=run_choices(), label="Experiment context (optional)")
+            as_run = gr.Dropdown(choices=run_choices(), label="Experiment context (optional)", allow_custom_value=True)
             gr.Button("↻", size="sm").click(lambda: gr.update(choices=run_choices()), None, as_run)
             as_chat = gr.Chatbot(type="messages", height=280, label="Assistant")
             as_msg = gr.Textbox(placeholder="Why did my model perform worse?", label="Ask")