Another bandaid fix

app.py

@@ -31,9 +31,9 @@ if input.strip():
     overall_tab = tabs[0]
     detail_tabs = tabs[1:]
 
-
     with overall_tab:
         st.header("Overall")
+        print([res.job.status() for res in results])
         whole_array = np.concatenate([np.sum(res.array, axis=-1) for res in results if res.job.done()])
 
         total = len(whole_array)

utils.py

@@ -30,16 +30,6 @@ MAPPING = {
 ANSATZ = IQPAnsatz(MAPPING, n_layers=1, discard=True)
 LOGGER = logging.getLogger(__name__) 
 
-REWRITER = Rewriter([
-    'auxiliary',
-    'connector',
-    'determiner',
-    'postadverb',
-    'preadverb',
-    'prepositional_phrase',
-])
-PARSER = BobcatParser('bert', cache_dir='./')
-
 @dataclass
 class QNLP_OUTPUT():
     tokens: str
@@ -67,6 +57,16 @@ class QNLP():
                            'This action only has to happen once.')
             spacy.cli.download(model)
             self.nlp = spacy.load(model)
+        
+        self.rewriter = Rewriter([
+            'auxiliary',
+            'connector',
+            'determiner',
+            'postadverb',
+            'preadverb',
+            'prepositional_phrase',
+        ])
+        self.parser = BobcatParser('bert', cache_dir='./')
     
     def process_sentence(self, 
                          input_sentence: str, 
@@ -78,13 +78,14 @@ class QNLP():
 
         def sentence2diagrams(sent: list[str], pb: tqdm = None):
             diagram = self.parser.sentence2diagram(sent, tokenised=True)
-            diagram = REWRITER(diagram).normal_form()
+            diagram = self.rewriter(diagram).normal_form()
 
             if pb: pb.update(1)
             return diagram
         
-        pb = tqdm(total = len(sentences), desc="Splitting sentences")
-        diagrams = Parallel(4, require='sharedmem')(delayed(sentence2diagrams)(s, pb) for s in sentences)
+        # pb = tqdm(total = len(sentences), desc="Splitting sentences")
+        # diagrams = Parallel(4, require='sharedmem')(delayed(sentence2diagrams)(s, pb) for s in sentences)
+        diagrams = list(sentence2diagrams(s) for s in sentences)
 
         qiskit_circuits = list(tk_to_qiskit(ANSATZ(diagram).to_tk()) for diagram in diagrams)
         for qc in qiskit_circuits : qc.measure_all()