Delete digit_app.py

digit_app.py

@@ -1,24 +0,0 @@
-import tensorflow as tf
-import gradio as gr
-import numpy as npd
-from PIL import Image
-
-
-loaded_model = tf.keras.models.load_model('digit_recognition_model.h5')
-
-def recognize_digit(image):
-    # Preprocess the input image
-    image = Image.fromarray(image).convert('L')  # Convert to grayscale
-    image = image.resize((28, 28))  # Resize to 28x28
-    image = np.array(image)
-    image = image / 255.0  # Normalize the pixel values
-
-    # Make a prediction using the loaded model
-    image = np.expand_dims(image, axis=0)  # Add a batch dimension
-    prediction = loaded_model.predict(image)
-    predicted_digit = np.argmax(prediction)
-
-    return str(predicted_digit)
-
-iface = gr.Interface(fn=recognize_digit, inputs="image", outputs="text")
-iface.launch()