Create app.py

app.py

@@ -0,0 +1,23 @@
+import cv2
+import numpy as np
+import gradio as gr
+
+inputs_image = gr.Image(type="filepath", label="Input Image")
+# def img_inf(img, model):
+    
+#     model, classes, colors = load_model()  # Load the MobileNet-SSD model
+#     image, height, width, channels = load_img(img)  # Load and preprocess the image
+#     blob, outputs = detect_objects(image, model)  # Detect objects in the image
+#     boxes, class_ids = get_box_dimensions(outputs, height, width)  # Get the bounding boxes
+#     return cv2.cvtColor(image1, cv2.COLOR_BGR2RGB)  # Re
+df ff(ev):
+    print(ev)
+interface_image = gr.Interface(
+    fn=ff,
+    inputs=[inputs_image],
+    outputs=outputs_image,
+    title="Image Inference",
+    description="Upload your photo and select one model and see the results!",
+    # examples=[["sample/dog.jpg"]],
+    cache_examples=False,
+)