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models.py

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+import json
+import os
+
+from converters import converters
+
+
+class TranscriptConverter:
+
+    def __init__(self, path, format_name):
+        self.path = path
+        with open(path, 'r') as fin:
+            self.words = converters[format_name](json.load(fin))
+            # wordStart
+            # wordEnd
+            # word
+            # confidence
+            # index
+            # space
+            # alwaysCapitalized
+
+    def to_json(self):
+        return json.dumps(self.words, indent=4)
+
+    def save(self):
+        name = f"{os.path.basename(self.path).split('.json')[0]}_processed.json"
+        with open(name, 'w') as fout:
+            fout.write(self.to_json())