Create app.py

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+
+from transformers import pipeline
+
+s2t=gr.Interface.load('huggingface/facebook/s2t-medium-librispeech-asr')
+
+grammar = gr.Interface.load('huggingface/prithivida/grammar_error_correcter_v1')
+
+
+def out(audio1,audio2):
+  if (audio1==None) and (audio2==None):
+    return "no audio","no audio"
+  elif audio2==None:
+
+    x=s2t(audio1)
+    return s2t(audio1), grammar(x)
+  else:
+    x=s2t(audio2)
+    return s2t(audio2), grammar(x)
+
+iface = gr.Interface(
+  fn=out, 
+  inputs=[gr.inputs.Audio(source="upload", type="filepath", label=None, optional=True),                                           
+          gr.inputs.Audio(source="microphone", type="filepath", label=None, optional=True)],
+  #inputs= gr.inputs.Audio(source="microphone", type="filepath", label=None, optional=True),
+  outputs=['text','text']
+)
+
+iface.launch(debug=True)