new test dicler

main.py

@@ -0,0 +1,30 @@
+import mmpose
+print(mmpose.__version__)
+from mmpose.apis import MMPoseInferencer
+inferencer = MMPoseInferencer('human')
+print("[INFO]: Imported modules!!")
+
+import gradio as gr
+
+def greet(photo):
+    print("[INFO]: Downloaded models!")
+    result_generator = inferencer(photo)
+
+    print("[INFO]: Visualizing results!")
+    vis, pred = next(result_generator)
+    return vis
+
+# # specify detection model by alias
+# # the available aliases include 'human', 'hand', 'face', 'animal',
+# # as well as any additional aliases defined in mmdet
+# inferencer = MMPoseInferencer(
+#     # suppose the pose estimator is trained on custom dataset
+#     pose2d='custom_human_pose_estimator.py',
+#     pose2d_weights='custom_human_pose_estimator.pth',
+#     det_model='human'
+# )
+if __name__ == '__main__':
+
+    demo = gr.Interface(fn=greet, inputs=gr.Image(source="webcam"), outputs=gr.Image())
+    
+    demo.launch()