Update app.py

app.py

@@ -1,6 +1,8 @@
 import gradio as gr
 from transformers import pipeline
 
+demo = gr.Blocks()
+
 pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-english")
 
 pipe2 = pipeline("summarization", model="facebook/bart-large-cnn")
@@ -27,4 +29,12 @@ file_transcribe = gr.Interface(
     allow_flagging="never",
 )
 
-iface.launch()
+with demo:
+    gr.TabbedInterface(
+        [mic_transcribe,
+         file_transcribe],
+        ["Transcribe Microphone",
+         "Transcribe Audio File"],
+    )
+demo.launch(share=True, 
+            server_port=int(os.environ['PORT1']))