v2.0.1-test model

app.py

@@ -1,7 +1,12 @@
 import gradio as gr
+from roboflow import Roboflow
 
-def greet(name):
-    return "Hello " + name + "!!"
+rf = Roboflow(api_key="20JY79Ic1PHKNgDjeaJn")
+project = rf.workspace().project("image_crop")
+model = project.version(2).model
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+def predict(url):
+    return model.predict(url, confidence=40, overlap=30).json()
+
+iface = gr.Interface(fn=predict, inputs="text", outputs="text")
 iface.launch()

requirements.txt

@@ -1 +1,2 @@
-gradio
+gradio
+roboflow