Update app.py

add float32 json fix

app.py

@@ -50,6 +50,12 @@ EXAMPLES = [
 ]
 EXAMPLE_LABELS = ['Harry Potter (en)', 'Through the Looking Glass (en)', 'Fresh Prince of Bel-Air (en)', 'Don Quixote (es)']
 
+class FloatEncoder(json.JSONEncoder):
+    def default(self, obj):
+        if isinstance(obj, np.float32):
+            return float(obj)
+        return json.JSONEncoder.default(self, obj)
+
 class MyPipeline(TokenClassificationPipeline):
     """Custom Pipeline class with custom postprocess function, designed to output proability distribution in addition to top scores
     Inherits from HF TokenClassificationPipeline"""
@@ -353,7 +359,7 @@ def classify_tokens(text: str, use_canned=False):
     styled_html2 = f"<div style='font-family:sans-serif;line-height:1.6;'>{output2}</div>"
 
     simple_output_data = {"text": text, "entities": [{**e} | {"entity_group": display_label(e["entity_group"])} for e in results_spans]}
-    return simple_output_data, json.dumps(results_spans), json.dumps(results_tokens), styled_html1, table_html, styled_html2
+    return simple_output_data, json.dumps(results_spans, cls=FloatEncoder), json.dumps(results_tokens, cls=FloatEncoder), styled_html1, table_html, styled_html2
     # except Exception as e:
     #     # Force the real error into the Space logs
     #     import traceback, sys