Create app_multi_In.py

app_multi_In.py

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+import os
+import gradio as gr
+from transformers import pipeline
+
+title = "Transcribe speech several languages"
+
+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 = 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"),
+    outputs="text",
+    title=title
+)
+
+
+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"),
+                     gr.Audio(source="microphone", type="filepath")], 
+    outputs="text",
+    title=title
+)
+
+
+demo = gr.TabbedInterface([app1, app2], ["Audio File", "Microphone"])
+
+if __name__ == "__main__":
+    demo.launch()