add module files

app.py

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+import tempfile
+import os
+
+from PIL import Image
+import gradio as gr
+import paddlehub as hub
+
+
+module = hub.Module(name="solov2")
+    
+def inference(img, threshold):
+  with tempfile.TemporaryDirectory() as tempdir_name:
+    module.predict(image=img, threshold=threshold, visualization=True, save_dir=tempdir_name)
+    result_names = os.listdir(tempdir_name)
+    output_image = Image.open(os.path.join(tempdir_name, result_names[0]))
+  return [output_image]
+
+  
+title="SOLOv2"
+description="SOLOv2 is a fast instance segmentation model based on paper \"SOLOv2: Dynamic, Faster and Stronger\". The model improves the detection performance and efficiency of masks compared to SOLOv1, and performs well in instance segmentation tasks."
+
+gr.Interface(inference,inputs=[gr.inputs.Image(type="filepath"),gr.Slider(0.0, 1.0, value=0.5)],outputs=gr.Gallery(label="Detection Result"),title=title,description=description).launch(enable_queue=True)

requirements.txt

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+paddlepaddle == 2.2.0
+paddlehub