Create app.py

app.py

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+import gradio as gr
+
+whisper_to_gpt = gr.Blocks.load(name="spaces/fffiloni/whisper-to-chatGPT")
+tts = gr.Interface.load(name="spaces/StevenLimcorn/fastspeech2-TTS")
+
+def infer(audio):
+    gpt_response = whisper_to_gpt(audio, "translate", fn_index=1)
+    audio_response = tts(gpt_response, "Fastspeech2 + Melgan", fn_index=0)
+    return audio_response
+
+inputs = gr.Audio(source="microphone",type="filepath")
+outputs = gr.Audio()
+
+demo = gr.Interface(fn=infer, inputs=inputs, outputs=outputs)
+demo.launch()
+