first commit

app.py

@@ -1,5 +1,6 @@
 import datetime
 import gradio as gr
+from langdetect import DetectorFactory
 import fasttext, torch, clip
 from sentence_transformers import SentenceTransformer, util
  
@@ -68,6 +69,7 @@ def prep_examples():
     return examples
 
 def detect_lang(text):
+    DetectorFactory.seed = 0
     seq_lang = 'en'
     
     text = text.replace('\n', ' ')
@@ -122,6 +124,8 @@ def sequence_to_classify(text, labels):
 	
 	predicted_labels = list(preds['labels'])
 	predicted_scores = list(preds['scores'])
+	print(predicted_labels)
+	print(predicted_scores)
 	output = {idx: float(predicted_scores.pop(0)) for idx in predicted_labels}
 	print("Date:{}, Sequence:{}, Labels: {}".format(
 		str(datetime.datetime.now()),