Update app.py

app.py

@@ -6,6 +6,7 @@ from transformers import pipeline
 from transformers.pipelines.audio_utils import ffmpeg_read
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 from flores200_codes import flores_codes
+from gradio.components import Audio, Dropdown, Radio, Textbox
 
 import tempfile
 import os
@@ -150,12 +151,12 @@ lang_codes = list(flores_codes.keys())
 mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.inputs.Audio(source="microphone", type="filepath", optional=True),
-        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
-        gr.inputs.Dropdown(lang_codes, default='English', label='Source Language'),
-        gr.inputs.Dropdown(lang_codes, default='French', label='Target Language'),
+        Audio(source="microphone", type="filepath", optional=True),
+        Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+        Dropdown(lang_codes, default='English', label='Source'),
+        Dropdown(lang_codes, default='French', label='Target'),
     ],
-    outputs=["text", "text"],
+    outputs=[Textbox(label="Transcribed Text"), Textbox(label="Translated Text")],
     layout="horizontal",
     theme="huggingface",
     title="Whisper Large V2: Transcribe Audio",
@@ -170,12 +171,12 @@ mf_transcribe = gr.Interface(
 file_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Audio file"),
-        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
-        gr.inputs.Dropdown(lang_codes, default='English', label='Source'),
-        gr.inputs.Dropdown(lang_codes, default='French', label='Target'),
+        Audio(source="upload", type="filepath", optional=True, label="Audio file"),
+        Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+        Dropdown(lang_codes, default='English', label='Source'),
+        Dropdown(lang_codes, default='French', label='Target'),
     ],
-    outputs="text",
+    outputs=[Textbox(label="Transcribed Text"), Textbox(label="Translated Text")],
     layout="horizontal",
     theme="huggingface",
     title="Whisper Large V2: Transcribe Audio",
@@ -190,12 +191,12 @@ file_transcribe = gr.Interface(
 yt_transcribe = gr.Interface(
     fn=yt_transcribe,
     inputs=[
-        gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
-        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
-        gr.inputs.Dropdown(lang_codes, default='English', label='Source Language'),
-        gr.inputs.Dropdown(lang_codes, default='French', label='Target Language'),
+        Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
+        Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+        Dropdown(lang_codes, default='English', label='Source Language'),
+        Dropdown(lang_codes, default='French', label='Target Language'),
     ],
-    outputs=["html", "text", "translated_text"],
+    outputs=[Textbox(label="html"), Textbox(label="Transcribed Text"), Textbox(label="Translated Text")],
     layout="horizontal",
     theme="huggingface",
     title="Whisper Large V2: Transcribe YouTube",