Upload app.py

app.py

@@ -11,8 +11,8 @@ import gradio as gr
 import numpy as np
 import torch
 import sentencepiece
-from google.colab import drive
-from datasets import load_dataset
+
+
 
 from transformers import pipeline, VitsModel, VitsTokenizer
 
@@ -60,7 +60,7 @@ demo = gr.Blocks()
 
 mic_translate = gr.Interface(
     fn=speech_to_speech_translation,
-    inputs=gr.Audio(source="microphone", type="filepath"),
+    inputs=gr.Audio(type="filepath"),
     outputs=gr.Audio(label="Generated Speech", type="numpy"),
     title=title,
     description=description,
@@ -68,9 +68,9 @@ mic_translate = gr.Interface(
 
 file_translate = gr.Interface(
     fn=speech_to_speech_translation,
-    inputs=gr.Audio(source="upload", type="filepath"),
+    inputs=gr.Audio(type="filepath"),
     outputs=gr.Audio(label="Generated Speech", type="numpy"),
-    examples=[["./example.wav"]],
+    examples=[["/content/drive/MyDrive/test_2.wav"]],
     title=title,
     description=description,
 )