update: finishing minimum UI interface

app.py

@@ -1,9 +1,40 @@
 import gradio as gr
+import torch
+from ultralyticsplus import YOLO, render_result
 
 
-def greet(name):
-    return "Hello " + name + "!!"
+def launch(
+    image: gr.Image = None,
+    image_size: gr.Slider = 640,
+    conf_threshold: gr.Slider = 0.4,
+    iou_threshold: gr.Slider = 0.50,
+):
+    try:
+        model_path = "./models/student-behaviour-best.pt"
+        model = YOLO("yolov8n.pt")
 
+        results = model.predict(
+            image, conf=conf_threshold, iou=iou_threshold, imgsz=image_size
+        )
+        box = results[0].boxes
+        print(box)
+        render = render_result(model=model, image=image, result=results[0])
+        return render
+    except Exception as e:
+        print(e)
+        return "./download.jpeg"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+
+inputs = [
+    gr.Image(type="filepath", label="Input Image"),
+    gr.Slider(minimum=320, maximum=1280, value=640, step=32, label="Image Size"),
+    gr.Slider(
+        minimum=0.0, maximum=1.0, value=0.4, step=0.1, label="Confidence Threshold"
+    ),
+    gr.Slider(minimum=0.0, maximum=1.0, value=0.4, step=0.1, label="IOU Threshold"),
+]
+
+outputs = gr.Image(type="filepath", label="Output Result")
+
+iface = gr.Interface(fn=launch, inputs=inputs, outputs=outputs)
 iface.launch()

models/student-behaviour-best.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a69d4a1fb801d469a758f70fb1d97261ab043baa785556405455b0d3cdc3f6ca
+size 6257945

yolov8n.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31e20dde3def09e2cf938c7be6fe23d9150bbbe503982af13345706515f2ef95
+size 6534387