Create app.py

app.py

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+import gradio as gr
+from joblib import load
+import numpy as np
+
+# Load the model once globally
+model = load('model1.joblib')
+
+def model1(data):
+    input_array = np.array([data]).reshape(1, -1)
+    prediction = model.predict(input_array)[0]
+    return prediction
+
+def process_input(six_digit_str):
+    if len(six_digit_str) != 6 or not six_digit_str.isdigit():
+        return "Error: Please enter a 6-digit number string."
+
+    # Create 2-digit windows with '3.' prefix
+    a = float("3." + six_digit_str[0:2])
+    b = float("3." + six_digit_str[1:3])
+    c = float("3." + six_digit_str[2:4])
+    d = float("3." + six_digit_str[3:5])
+    e = float("3." + six_digit_str[4:6])
+
+    # Predict
+    pred1 = model1(a)
+    pred2 = model1(b)
+    pred3 = model1(c)
+    pred4 = model1(d)
+    pred5 = model1(e)
+
+    # Errors
+    err1 = pred1 - b
+    err2 = pred2 - c
+    err3 = pred3 - d
+    err4 = pred4 - e
+
+    errors = [err1, err2, err3, err4]
+    avg_error = sum(errors) / len(errors)
+
+    # Distances from average
+    distances = [abs(e - avg_error) for e in errors]
+    nearest_indices = sorted(range(len(distances)), key=lambda i: distances[i])[:2]
+    nearest_values = [errors[i] for i in nearest_indices]
+    all_three = nearest_values + [avg_error]
+
+    # Adjust pred4
+    ads_list = []
+    for err in errors:
+        ads = pred4 + err if avg_error > 0 else pred4 - err
+        ads_list.append(ads)
+
+    # Round and extract 2nd decimal digit
+    rounded = [round(val, 2) for val in ads_list]
+    second_decimal_digits = [int(str(f).split(".")[1][1]) if '.' in str(f) and len(str(f).split(".")[1]) > 1 else 0 for f in rounded]
+
+    return second_decimal_digits
+
+# Gradio Interface
+demo = gr.Interface(fn=process_input,
+                    inputs=gr.Textbox(label="Enter 6-digit number string"),
+                    outputs=gr.JSON(label="Second Decimal Digits"))
+
+demo.launch()