upload phasenet

pipeline.py

@@ -2,7 +2,7 @@ from typing import  Dict, List
 import numpy as np
 import tensorflow as tf
 import os
-
+import json
 from phasenet.model import ModelConfig, UNet
 from phasenet.postprocess import extract_picks
 
@@ -51,7 +51,7 @@ class PreTrainedPipeline():
         #     "Please implement PreTrainedPipeline __call__ function"
         # )
 
-        vec = np.array(inputs)[np.newaxis, :, np.newaxis, :]
+        vec = np.asarray(json.loads(inputs))[np.newaxis, :, np.newaxis, :]
 
         feed = {self.model.X: vec, self.model.drop_rate: 0, self.model.is_training: False}
         preds = self.sess.run(self.model.preds, feed_dict=feed)
@@ -67,4 +67,5 @@ class PreTrainedPipeline():
 if __name__ == "__main__":
     pipeline = PreTrainedPipeline()
     inputs = np.random.rand(1000, 3).tolist()
+    inputs = json.dumps(inputs)
     picks = pipeline(inputs)