adding Gradio Client to call seamless_mt

app.py

@@ -11,6 +11,9 @@ import dotenv
 from transformers import AutoProcessor, SeamlessM4TModel
 import torchaudio
 dotenv.load_dotenv()
+from gradio_client import Client
+
+client = Client("https://facebook-seamless-m4t.hf.space/--replicas/frq8b/")
 
 
 AUDIO_SAMPLE_RATE = 16000.0
@@ -251,7 +254,7 @@ iface = gr.Interface(
     inputs=[
         gr.Textbox(label="Input Text"),
         gr.Image(label="Upload Image"),
-        gr.Audio(sources="microphone"),
+        gr.Audio(label="talk", type="filepath", sources="microphone", visible=False),
     ],
     outputs=[gr.Markdown(label="Output Text")],
     title="👋🏻Welcome to ⚕🗣️😷MultiMed - Access Chat ⚕🗣️😷",