Upload app.py

app.py

@@ -1,11 +1,11 @@
 # -*- coding: utf-8 -*-
-"""Built_Speech-to-Speech_Translation.ipynb
+"""Built_Speech-to-Speech_Translation.ipynb"""
 
-Automatically generated by Colaboratory.
+# Automatically generated by Colaboratory.
+
+# Original file is located at
+#     https://colab.research.google.com/drive/1AHToRlVpGAy3jQdbTm14tDdTyRPc-oG3
 
-Original file is located at
-    https://colab.research.google.com/drive/1AHToRlVpGAy3jQdbTm14tDdTyRPc-oG3
-"""
 """Speech Translation to Text Part"""
 
 from huggingface_hub import login
@@ -21,10 +21,6 @@ pipe = pipeline(
 
 from datasets import load_dataset
 dataset = load_dataset("facebook/voxpopuli", "nl", split="validation", streaming=True)
-sample = next(iter(dataset))
-
-from IPython.display import Audio
-Audio(sample["audio"]["array"], rate=sample["audio"]["sampling_rate"])
 
 def translate(audio):
     outputs = pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language": "nl"})
@@ -67,7 +63,6 @@ sampling_rate, synthesized_speech = speech_to_speech_translation(sample["audio"]
 Audio(synthesized_speech, rate=sampling_rate)
 
 import gradio as gr
-from gradio.mix import Series
 
 demo = gr.Blocks()
 description = "Speech-to-Speech Translation En->Nl"