Update app.py

app.py

@@ -1,172 +0,0 @@
-import gradio as gr
-import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-
-# --- QUICK VIEW CALLBACK (new, lightweight) ---
-def run_quick_view(file, turn_col, mag_col, rolling_window):
-    if file is None:
-        return None, "Upload a CSV first."
-
-    df = pd.read_csv(file.name)
-    if df.empty:
-        return None, "CSV is empty."
-
-    # Resolve turn axis
-    use_turn = (turn_col not in [None, "None"] and turn_col in df.columns and pd.api.types.is_numeric_dtype(df[turn_col]))
-    if use_turn:
-        d = df.sort_values(turn_col).reset_index(drop=True)
-        x = d[turn_col].to_numpy()
-    else:
-        d = df.reset_index(drop=True)
-        x = np.arange(len(d)) + 1  # friendlier 1-based index
-
-    # Validate magnitude
-    if mag_col not in d.columns or not pd.api.types.is_numeric_dtype(d[mag_col]):
-        return None, f"'{mag_col}' is not a numeric magnitude column."
-
-    y = d[mag_col].astype(float).to_numpy()
-
-    w = int(rolling_window)
-    w = max(3, min(w, len(d)))
-    roll = pd.Series(y).rolling(w, min_periods=max(3, w // 3)).mean().to_numpy()
-
-    fig = plt.figure(figsize=(8, 4.5))
-    ax = fig.add_subplot(111)
-    ax.scatter(x, y, s=8, alpha=0.6, label="Turns")
-    ax.plot(x, roll, label=f"Rolling mean (w={w})")
-    ax.set_title(f"Quick View — {mag_col}")
-    ax.set_xlabel(turn_col if use_turn else "Turn (row order)")
-    ax.set_ylabel("Magnitude")
-    ax.legend()
-    fig.tight_layout()
-
-    msg = "Quick View: response magnitude over time. Use Advanced tabs for stability bands + perturbations."
-    return fig, msg
-
-
-# ----------------------------
-# APP UI
-# ----------------------------
-with gr.Blocks(title="Threadscope: Drift & Hold") as demo:
-    gr.Markdown(
-        "## Threadscope: Drift & Hold — Bring Your Own Thread\n"
-        "Upload a CSV to visualize long-form interaction dynamics. **Processed in-session only (no storage).**\n\n"
-        "**Quick start:** upload → Quick View → adjust rolling window."
-    )
-
-    # Upload first
-    file = gr.File(label="Upload", file_types=[".csv"])
-
-    status = gr.Textbox(label="Status", interactive=False)
-
-    # Keep mapping, but tuck into a collapsible section
-    with gr.Accordion("Data mapping (expand if needed)", open=False):
-        with gr.Row():
-            turn_col = gr.Dropdown(label="Turn column (optional)", choices=[], value=None)
-            speaker_col = gr.Dropdown(label="Speaker column (optional)", choices=[], value=None)
-            mag_col = gr.Dropdown(label="Magnitude column (numeric)", choices=[], value=None)
-
-        preview = gr.Dataframe(label="Preview (first 15 rows)", interactive=False, wrap=True)
-
-    # Advanced-only controls that still need file-derived choices
-    with gr.Accordion("Advanced inputs (perturbations)", open=False):
-        noise_col = gr.Dropdown(label="Noise column (numeric)", choices=[], value=None)
-        turn_col_for_scramble = gr.Dropdown(label="Turn column for scramble (optional)", choices=[], value="None")
-
-    # Update all dropdowns + preview on upload
-    file.change(
-        fn=on_upload_all,
-        inputs=[file],
-        outputs=[turn_col, speaker_col, mag_col, noise_col, turn_col_for_scramble, status, preview],
-    )
-
-    # Tabs: Quick first, Advanced next
-    with gr.Tabs():
-        # ----------------------------
-        # QUICK VIEW (default)
-        # ----------------------------
-        with gr.Tab("Quick View"):
-            gr.Markdown(
-                "**What this shows:** response magnitude over time + rolling mean.\n\n"
-                "If you want stability detection (bands + persistence), open **Drift & Hold (Advanced)**."
-            )
-            rolling_window_q = gr.Slider(3, 200, value=25, step=1, label="Rolling window (turns)")
-            run_quick = gr.Button("Run Quick View")
-            quick_plot = gr.Plot(label="Quick plot")
-            quick_msg = gr.Textbox(label="Notes", interactive=False)
-
-            run_quick.click(
-                fn=run_quick_view,
-                inputs=[file, turn_col, mag_col, rolling_window_q],
-                outputs=[quick_plot, quick_msg],
-            )
-
-        # ----------------------------
-        # DRIFT & HOLD (ADVANCED)
-        # ----------------------------
-        with gr.Tab("Drift & Hold (Advanced)"):
-            gr.Markdown(
-                "**Stability settings (start with defaults):**\n"
-                "- Rolling window = 25\n"
-                "- How wide is “normal”? = 2.0\n"
-                "- How strict is “stable”? = 1.0\n"
-                "- How long must it stay stable? = 10\n\n"
-                "Adjust one slider at a time."
-            )
-
-            with gr.Row():
-                rolling_window = gr.Slider(3, 200, value=25, step=1, label="Rolling window (turns)")
-                band_width = gr.Slider(0.5, 4.0, value=2.0, step=0.1, label="How wide is “normal”? (band width)")
-
-            with gr.Row():
-                stability_thresh = gr.Slider(0.5, 4.0, value=1.0, step=0.1, label="How strict is “stable”? (threshold)")
-                persistence = gr.Slider(1, 100, value=10, step=1, label="How long must it stay stable? (persistence)")
-
-            run_btn = gr.Button("Run Drift & Hold")
-            out_plot = gr.Plot(label="Drift & Hold plot")
-            out_msg = gr.Textbox(label="Summary", interactive=False)
-
-            with gr.Accordion("Details (computed preview)", open=False):
-                out_table = gr.Dataframe(label="Computed preview", interactive=False, wrap=True)
-
-            run_btn.click(
-                fn=run_drift_hold,
-                inputs=[file, turn_col, mag_col, rolling_window, band_width, stability_thresh, persistence],
-                outputs=[out_plot, out_msg, out_table],
-            )
-
-        # ----------------------------
-        # PERTURBATIONS (ADVANCED)
-        # ----------------------------
-        with gr.Tab("Perturbations (Advanced)"):
-            gr.Markdown(
-                "**Use this to test robustness:**\n"
-                "- **Temporal scramble** breaks order but keeps values.\n"
-                "- **Metric noise** perturbs values but keeps order."
-            )
-
-            perturb_type = gr.Dropdown(
-                label="Perturbation type",
-                choices=["Temporal scramble", "Metric noise injection"],
-                value="Temporal scramble",
-            )
-
-            with gr.Row():
-                strength = gr.Slider(0, 1, value=0.35, step=0.01, label="Strength")
-                seed = gr.Number(value=7, precision=0, label="Seed")
-
-            run_perturb_btn = gr.Button("Apply perturbation")
-            pert_plot = gr.Plot(label="Perturbed plot")
-            pert_msg = gr.Textbox(label="Notes", interactive=False)
-
-            with gr.Accordion("Perturbed preview (first 15 rows)", open=False):
-                pert_preview = gr.Dataframe(interactive=False, wrap=True)
-
-            run_perturb_btn.click(
-                fn=run_perturb,
-                inputs=[file, perturb_type, strength, seed, turn_col_for_scramble, noise_col],
-                outputs=[pert_plot, pert_msg, pert_preview],
-            )
-
-demo.launch()