Update app.py

app.py

@@ -7,6 +7,9 @@ from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 from transformers import VitsModel, AutoTokenizer
 import tempfile
+import os
+
+api_key = os.getenv("hf_token")
 
 st.title("Dzongkha Speech-to-Text")
 
@@ -24,14 +27,14 @@ def load_asr_model():
 
 @st.cache_resource
 def load_translation_model():
-    model = AutoModelForSeq2SeqLM.from_pretrained("Norphel/Dz_en", token="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")
-    tokenizer = AutoTokenizer.from_pretrained("Norphel/Dz_en", token="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")
+    model = AutoModelForSeq2SeqLM.from_pretrained("Norphel/Dz_en", token=api_key)
+    tokenizer = AutoTokenizer.from_pretrained("Norphel/Dz_en", token=api_key)
     return model, tokenizer
 
 @st.cache_resource
 def load_tts_model():
-    model = VitsModel.from_pretrained("Norphel/MMS-TTS-Dzo-N3")
-    tokenizer = AutoTokenizer.from_pretrained("Norphel/MMS-TTS-Dzo-N3")
+    model = VitsModel.from_pretrained("Norphel/MMS-TTS-Dzo-N3", token = api_key)
+    tokenizer = AutoTokenizer.from_pretrained("Norphel/MMS-TTS-Dzo-N3", token = api_key)
     return model, tokenizer
 
 def generate_voice(text):