Delete app.py

app.py

@@ -1,42 +0,0 @@
-
-import tensorflow
-from tensorflow import keras
-from keras.models import load_model
-model1 = load_model("inception.h5")
-
-img_width, img_height = 180, 180
-class_names = ['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips']
-num_classes = len(class_names)
-
-def predict_image(img):
-    img_4d = img.reshape(-1, img_width, img_height, 3)      # 4D coz model trained on multiple 3Ds
-    prediction = model1.predict(img_4d)[0]
-    return {class_names[i]: float(prediction[i]) for i in range(num_classes)}
-
-
-import gradio as gr
-image = gr.inputs.Image(shape=(img_height, img_width))
-label = gr.outputs.Label(num_top_classes=num_classes)
-details = [
-                ["NAME: OLUMIDE TOLULOPE SAMUEL,"],
-                ["MATRIC NO: HNDCOM/22/037"],
-                ["CLASS: HND1"],
-                ["LEVEL: 300L"],
-                ["DEPARTMENT: COMPUTER SCIENCE"],
-             ]
-
-article = """<h4 style='text-align: center'><b>NAME: OLUMIDE TOLULOPE SAMUEL</b> </br> <b>MATRIC NO: HNDCOM/22/037</b> </br> <b>CLASS: HND1</b> </br> <b>LEVEL: 300L</b> </br> <b>DEPARTMENT: COMPUTER SCIENCE</b> </h4>
-            <h4> Model Training and </h4>
-              <div></br>
-              <b>Image Preprocessing and Testing</b>
-              <p>Preprocessing for Daisy flowers</p>
-              <img src="https://huggingface.co/spaces/miracle01/Flower_Classification/blob/main/output_daisy.png" alt="daisy flower" width="500" height="600">
-              </div>
-            """
-
-
-gr.Interface(fn=predict_image, inputs=image, outputs=label, 
-             title="Flower Classification using InceptionV3",
-             description="A flower classification app built using python and deployed using gradio/n" + "NAME: OLUMIDE TOLULOPE SAMUEL",
-             article=article,
-             interpretation='default').launch()