Update app.py

app.py

@@ -2,16 +2,24 @@ import os
 import gradio as gr
 from transformers import pipeline
 
-title = "Transcribe speech in German"
+title = "Transcribe speech several languages"
 
-pipeline = pipeline(task="automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-german")
-#pipeline = pipeline(task="automatic-speech-recognition", model="openai/whisper-large")
+pipelineGE = pipeline(task="automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-german")
+pipelineEN = pipeline(task="automatic-speech-recognition", model="openai/whisper-large")
 
 def transcribeFile(audio_path : str) -> str:
-    transcription = pipeline(audio_path)
+    transcription = pipelineGE(audio_path)
+    return transcription["text"]
+
+def transcribeFileMulti(inputlang, audio_path : str) -> str:
+    if inputlang == "English":
+        transcription = pipelineEN(audio_path)
+    elif inputlang == "German":
+        transcription = pipelineGE(audio_path)
     return transcription["text"]
 
 
+    
 app1 = gr.Interface(
     fn=transcribeFile,
     inputs=gr.inputs.Audio(label="Upload audio file", type="filepath"),
@@ -21,8 +29,9 @@ app1 = gr.Interface(
 
 
 app2 = gr.Interface(
-    fn=transcribeFile,
-    inputs=gr.Audio(source="microphone", type="filepath"), 
+    fn=transcribeFileMulti,
+    inputs=[gr.Radio(["English", "German"], label="Source Language", info="Select the language of the speech you want to transcribe"),
+                     gr.Audio(source="microphone", type="filepath")], 
     outputs="text",
     title=title
 )