Delete app.py

app.py

@@ -1,149 +0,0 @@
-import gradio as gr
-from collections import deque, Counter
-
-# =====================
-# STATE
-# =====================
-history = deque(maxlen=400)
-last10 = [None] * 10
-selected_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)
-
-# =====================
-# ENGINE
-# =====================
-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
-    conf += 0.08 if run <= 2 else 0.03 if run == 3 else -0.15
-    conf += 0.05 if abs(b5 - b13) < 0.15 else -0.05
-    conf = max(0.35, min(conf, 0.75))
-
-    status = "GO" if conf >= 0.60 else "WARN"
-    return pred, round(conf, 2), status
-
-# =====================
-# RENDER
-# =====================
-def render():
-    boxes = ["" if x is None else str(x) for x in last10]
-    pred, conf, status = predict()
-    out = f"""Prediction : {pred}
-Confidence : {conf}
-Status     : {status}"""
-    return boxes + [out]
-
-# =====================
-# INPUT
-# =====================
-def add_number(n):
-    # fill selected box if exists
-    if selected_index["idx"] is not None:
-        idx = selected_index["idx"]
-        last10[idx] = n
-        history.append(bs(n))
-        selected_index["idx"] = None
-    else:
-        # shift left
-        last10.pop(0)
-        last10.append(n)
-        history.append(bs(n))
-    return render()
-
-def select_box(idx):
-    selected_index["idx"] = idx
-    return render()
-
-def backspace():
-    idx = selected_index["idx"]
-    if idx is not None and last10[idx] is not None:
-        last10[idx] = None
-        if history:
-            history.pop()
-    return render()
-
-def reset_all():
-    history.clear()
-    for i in range(10):
-        last10[i] = None
-    selected_index["idx"] = None
-    return render()
-
-# =====================
-# UI
-# =====================
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("## 🧠 Big / Small Prediction Engine")
-
-    # last 10 boxes
-    with gr.Row():
-        boxes = []
-        for i in range(10):
-            b = gr.Button("", size="sm")
-            b.click(select_box,
-                    inputs=gr.Number(value=i, visible=False),
-                    outputs=[])
-            boxes.append(b)
-
-    with gr.Row():
-        out_box = gr.Textbox(label="Engine Output", lines=4)
-        back_btn = gr.Button("⌫ BACKSPACE", size="sm")
-        back_btn.click(backspace, outputs=boxes + [out_box])
-
-    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=boxes + [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=boxes + [out_box],
-            )
-
-    gr.Markdown("---")
-    gr.Button("RESET ALL DATA", variant="stop").click(
-        reset_all,
-        outputs=boxes + [out_box]
-    )
-
-demo.launch()