fix "multi process" pb

code/discut22_2.py

@@ -18,6 +18,7 @@ import utils.json2conll as json_to_connl # TODO clean it
 import utils.training_allennlp as tr_allen
 import utils.conll2bracket as c2bracket
 import utils.seg_eval as seg_eval
+import subprocess
 
 
         
@@ -116,7 +117,12 @@ class Data:
         self.pred_json = f"{self.resu}/{js_name}_pred.json"
         cmd = f"allennlp predict --use-dataset-reader --output-file {self.pred_json} {model} {fi_ner} &> {self.resu}/logs_predictions.txt"
         print(f"----> Making predictions: {cmd}.")
-        os.system(cmd)
+
+        cp = subprocess.run(cmd, shell=True, text=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+        print(f"----> done")
+        with open(f"{self.resu}/logs_predictions.txt", "w") as fe:
+            fe.write(cp.stderr)
+
         logs.add_infos('predictions_cmd', cmd)
 
     def pred_json_to_conll_w_metadata_w_gold(self, name=None): # here and 3 below..sorry..factorsation TBD
@@ -268,7 +274,7 @@ class Process:
         if self.model == "tony": 
             arch = "french_tokens.tar.gz"
             if not os.path.isfile(f"../model/tony/{arch}"):
-                dl = "wget https://zenodo.org/record/4235850/files/french_tokens.tar.gz -P ../model --progress=bar"
+                dl = "wget https://zenodo.org/record/4235850/files/french_tokens.tar.gz -P ../model/tony --progress=bar"
                 os.system(dl)
                 self.model_path = f"../model/tony/{arch}"
             else: