update speech2text module

app.py

@@ -1,7 +1,5 @@
 import gradio as gr
 from transformers import pipeline
-
-import gradio as gr
 from transformers.file_utils import cached_path, hf_bucket_url
 import os, zipfile
 from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
@@ -107,16 +105,17 @@ with gr.Blocks() as demo:
             translate_to_english.click(lambda text: translate_vi2en(text), inputs=vietnamese, outputs=english)
             gr.Examples(examples=vi_example_text,
                         inputs=[vietnamese])
-        with gr.TabItem("Speech2text translation: Vietnamese voice to English"):
-            with gr.Row():
-                inputs = gr.inputs.Audio(label="Input Audio", type="file")
-                outputs =  gr.outputs.Textbox(label="Output Text")
-                title = "Speech to text and translate Vietnamese to English"
-                description = "Gradio demo for a wav2vec2-base-vietnamese-250h and Helsinki-NLP/opus-mt-vi-en"
-                iface = gr.Interface(inference,
-                            inputs,
-                            outputs, 
-                            title=title,
-                            description=description,
-                            examples=vi_example_voice)
-                iface.launch()
+        with gr.TabItem("Speech2text and translation"):
+            inputs = gr.inputs.Audio(label="Input Audio", type="file")
+            outputs =  gr.outputs.Textbox(label="Output Text")
+            title = "Speech to text and translate Vietnamese to English"
+            description = "Gradio demo for a wav2vec2-base-vietnamese-250h and Helsinki-NLP/opus-mt-vi-en"
+            gr.Interface(inference,
+                        inputs,
+                        outputs, 
+                        title=title,
+                        description=description,
+                        examples=vi_example_voice)
+
+if __name__ == "__main__":
+    demo.launch()