Update app.py

app.py

@@ -10,8 +10,6 @@ from flores200_codes import flores_codes
 import tempfile
 import os
 
-global model_dict
-model_dict = load_models()
 
 MODEL_NAME = "openai/whisper-large-v2"
 BATCH_SIZE = 8
@@ -79,7 +77,7 @@ def transcribe(inputs, task):
         raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.")
 
     text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
-    translated_text = translation(source, target, text)["result"]
+    translated_text = translation(source, target, text)
     return  text, translated_text
 
 
@@ -136,11 +134,14 @@ def yt_transcribe(yt_url, task, max_filesize=75.0):
     inputs = {"array": inputs, "sampling_rate": pipe.feature_extractor.sampling_rate}
 
     text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
-    translated_text = translation(source, target, text)["result"]
+    translated_text = translation(source, target, text)
 
     return html_embed_str, text, translated_text
 
 
+global model_dict
+model_dict = load_models()
+
 
 demo = gr.Blocks()