app.py

import cv2
import gradio as gr
import tensorflow as tf
import numpy as np



# Model yükleniyor
model = tf.keras.models.load_model("number_recognition_model_colab.keras")

def predict(img):
    # Preprocess the input image
    img = img.reshape(1, 28, 28) / 255.0

    # Make the prediction
    prediction = model.predict(img)
    predicted_digit = np.argmax(prediction[0])

    return predicted_digit

# Create the Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("Welcome on your first sketch recognition app!")
    
    with gr.Row():
        sketchpad = gr.Sketchpad(shape=(28, 28))
        output = gr.Text()
    
    btn = gr.Button("Submit")
    btn.click(predict, inputs=sketchpad, outputs=output)

demo.launch()