Create app.py

app.py

@@ -0,0 +1,163 @@
+import gradio as gr
+from collections import deque, Counter
+
+# =====================
+# STATE
+# =====================
+history = deque(maxlen=400)   # sliding window
+last10 = deque(maxlen=10)
+edit_index = {"idx": None}
+
+# =====================
+# HELPERS
+# =====================
+def bs(n):
+    return "S" if n <= 4 else "B"
+
+def run_length(data):
+    if len(data) < 2:
+        return 1
+    r = 1
+    for i in range(len(data)-1, 0, -1):
+        if data[i] == data[i-1]:
+            r += 1
+        else:
+            break
+    return r
+
+def bias_ratio(data):
+    if not data:
+        return 0.5
+    c = Counter(data)
+    return c["B"] / len(data)
+
+# =====================
+# PREDICTION (Rule + Short Memory)
+# =====================
+def predict():
+    if len(history) < 15:
+        return "WAIT", 0.50, "Not enough data"
+
+    data = list(history)
+    w5, w8, w13 = data[-5:], data[-8:], data[-13:]
+
+    b5 = bias_ratio(w5)
+    b13 = bias_ratio(w13)
+    avg_bias = (b5 + bias_ratio(w8) + b13) / 3
+    run = run_length(data)
+
+    pred = "BIG" if avg_bias >= 0.5 else "SMALL"
+
+    conf = 0.55
+    if run <= 2:
+        conf += 0.08
+    elif run == 3:
+        conf += 0.03
+    else:
+        conf -= 0.15
+
+    if abs(b5 - b13) < 0.15:
+        conf += 0.05
+    else:
+        conf -= 0.05
+
+    conf = max(0.35, min(conf, 0.75))
+    status = "GO" if conf >= 0.60 else "WARN"
+    return pred, round(conf, 2), status
+
+# =====================
+# CORE INPUT HANDLER
+# =====================
+def add_number(n):
+    n = int(n)
+
+    # normal add
+    history.append(bs(n))
+    last10.append(str(n))
+
+    pred, conf, status = predict()
+    return render(pred, conf, status)
+
+def render(pred, conf, status):
+    hist_view = "  ".join(last10)
+    out = f"""Prediction : {pred}
+Confidence : {conf}
+Status     : {status}
+"""
+    return hist_view, out
+
+# =====================
+# EDIT LAST 10
+# =====================
+def select_edit(idx):
+    edit_index["idx"] = idx
+    return f"Editing index: {idx+1}"
+
+def apply_edit(n):
+    idx = edit_index["idx"]
+    if idx is None or idx >= len(last10):
+        return "No index selected", ""
+
+    # replace last10
+    last10_list = list(last10)
+    last10_list[idx] = str(n)
+    last10.clear()
+    for x in last10_list:
+        last10.append(x)
+
+    # also fix history tail
+    hist = list(history)
+    tail_start = len(hist) - len(last10_list)
+    if tail_start >= 0:
+        hist[tail_start + idx] = bs(int(n))
+        history.clear()
+        for x in hist:
+            history.append(x)
+
+    pred, conf, status = predict()
+    edit_index["idx"] = None
+    return render(pred, conf, status)
+
+# =====================
+# UI
+# =====================
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("## 🧠 Big / Small Engine (Fast Input + Editable History)")
+
+    hist_box = gr.Textbox(label="Last 10 Inputs", interactive=False)
+    out_box = gr.Textbox(label="Engine Output", lines=4)
+
+    gr.Markdown("### ➕ Quick Input")
+    with gr.Row():
+        for i in range(5):
+            gr.Button(str(i), size="sm").click(
+                add_number,
+                inputs=gr.Number(value=i, visible=False),
+                outputs=[hist_box, out_box],
+            )
+    with gr.Row():
+        for i in range(5, 10):
+            gr.Button(str(i), size="sm").click(
+                add_number,
+                inputs=gr.Number(value=i, visible=False),
+                outputs=[hist_box, out_box],
+            )
+
+    gr.Markdown("### ✏️ Edit Last 10 (Select index, then click number)")
+    with gr.Row():
+        for i in range(10):
+            gr.Button(f"{i+1}", size="sm").click(
+                select_edit,
+                inputs=gr.Number(value=i, visible=False),
+                outputs=out_box
+            )
+
+    with gr.Row():
+        for i in range(10):
+            gr.Button(str(i), size="sm").click(
+                apply_edit,
+                inputs=gr.Number(value=i, visible=False),
+                outputs=[hist_box, out_box]
+            )
+
+demo.launch()