Update app.py

app.py

@@ -13,7 +13,7 @@ asr_pipe_whisper = pipeline(task="automatic-speech-recognition", model="openai/w
 def transcribeFile(inputlang, audio_path : str) -> str:
     #transcription = asr_pipe_audio2Text_Ge(audio_path)
     #transcription = asr_pipe_whisper(audio_path, max_new_tokens=256, generate_kwargs={"task":"transcribe"})
-    if inputlang == "English":
+    if inputlang == "Auto Detect":
         transcription = asr_pipe_whisper(audio_path, chunk_length_s=25, stride_length_s=(5, 0), generate_kwargs={"task":"transcribe"})
     elif inputlang == "German":
         transcription = asr_pipe_audio2Text_Ge(audio_path, chunk_length_s=25, stride_length_s=(5, 0))    
@@ -39,7 +39,7 @@ def transcribeFileMulti(inputlang, audio_path : str) -> str:
 app1 = gr.Interface(
     fn=transcribeFile,
     #inputs=gr.inputs.Audio(label="Upload audio file", type="filepath"),
-    inputs=[gr.Radio(["English", "German"], value="German", label="Source Language", info="Select the language of the speech you want to transcribe"),
+    inputs=[gr.Radio(["Auto Detect", "German"], value="Auto Detect", label="Source Language", info="Select the language of the speech you want to transcribe"),
                      gr.Audio(source="upload", type="filepath",label="Upload audio file")],     
     outputs="text",
     title=title
@@ -48,7 +48,7 @@ app1 = gr.Interface(
 
 app2 = gr.Interface(
     fn=transcribeFileMulti,
-    inputs=[gr.Radio(["English", "German"], value="German", label="Source Language", info="Select the language of the speech you want to transcribe"),
+    inputs=[gr.Radio(["Auto Detect", "German"], value="Auto Detect", label="Source Language", info="Select the language of the speech you want to transcribe"),
                      gr.Audio(source="microphone", type="filepath")], 
     outputs="text",
     title=title