comment out translation due to google translate package conflict on huggingface

app.py

@@ -3,7 +3,7 @@ from transformers import pipeline
 import gradio as gr
 import os
 from pytube import YouTube
-from google_trans_new import google_translator
+# from googletrans import Translator
 
 
 # use model with improved learning rate which yielded better performance
@@ -21,11 +21,11 @@ def transcribe_url_yt(yt_url):
     text = pipe(audio)["text"]
     # remove stored audio file from disk
     os.remove(audio)
-    # text translation
-    translator = google_translator()
-    translation = translator.translate(text, lang_tgt='en')
+    # # text translation
+    # translator = Translator()
+    # translation = translator.translate(text, src='lt')
 
-    return text, translation, title, thumbnail
+    return text, title, thumbnail #, translation.text
 
 def transcribe_microphone(audio):
     text = pipe(audio)["text"]
@@ -34,19 +34,19 @@ def transcribe_microphone(audio):
 with gr.Blocks() as url:
     with gr.Row():
         with gr.Column():
-            yt_url = gr.Textbox(label="Paste YouTube link to lithuanian news video \n (recommended test link https://www.youtube.com/watch?v=9JsBg3pTp8I):")
+            yt_url = gr.Textbox(label="Paste YouTube link to e.g. lithuanian news video \n (recommended test link https://www.youtube.com/watch?v=9JsBg3pTp8I):")
             transcribe_btn = gr.Button(value="Transcribe")
         with gr.Column():
-            news_text = gr.Textbox(label="First paragraph of transcribed News:")
-        with gr.Column():
-            translated_text = gr.Textbox(label="First paragraph translation into English:")
+            news_text = gr.Textbox(label="Transcribed first paragraph of video:")
+        # with gr.Column():
+        #     translated_text = gr.Textbox(label="First paragraph translation into English:")
     with gr.Row():
         with gr.Column():
-            yt_title = gr.Textbox(label="Title of the News Video")
+            yt_title = gr.Textbox(label="Title of the (News) Video")
         with gr.Column():
             yt_thumbnail = gr.Image()
     
-    transcribe_btn.click(transcribe_url_yt, inputs=yt_url, outputs=[news_text, translated_text, yt_title, yt_thumbnail])
+    transcribe_btn.click(transcribe_url_yt, inputs=yt_url, outputs=[news_text, yt_title, yt_thumbnail])#, translated_text])
 
 with gr.Blocks() as mike:
     with gr.Column():
@@ -54,16 +54,16 @@ with gr.Blocks() as mike:
         transcribe_btn = gr.Button(value="Transcribe")
     with gr.Column():
         text = gr.Textbox(label="Transcription:")
-    with gr.Column():
-        translated_text = gr.Textbox(label="First paragraph translation into English:")
+    # with gr.Column():
+    #     translated_text = gr.Textbox(label="First paragraph translation into English:")
 
-    transcribe_btn.click(transcribe_microphone, inputs=mike_input, outputs=[text, translated_text])
+    transcribe_btn.click(transcribe_microphone, inputs=mike_input, outputs=[text])
 
 with gr.Blocks() as demo:
     gr.Markdown(
         """
     # Whisper Model fine-tuned to transcribe Lithuanian
-    Real time demo that can either transcribe a Lithuanian News video YouTube URL to text or directly from microphone input.
+    Real time demo that can either transcribe from e.g. a Lithuanian News video YouTube URL to text or directly from microphone input.
     """
     )
     gr.TabbedInterface([url, mike], ["Transcribe Youtube-URL", "Transcribe Audio"])