tabbed app add

app.py

@@ -4,17 +4,35 @@ import time
 
 # p = pipeline("automatic-speech-recognition", model="/Users/mkesavan/aidev/speechAI-trials/xlsr-wave2vec/wav2vec2-large-xls-r-300m-tamil-colab/checkpoint-1600")
 
-p = pipeline("automatic-speech-recognition", model="kmknair/wav2vec2-xlsr-tamil")
+# combining Tamil and arabic
 
-def transcribe(audio, state=""):
+p_ta = pipeline("automatic-speech-recognition", model="kmknair/wav2vec2-xlsr-tamil")
+p_ar = pipeline("automatic-speech-recognition", model="kmknair/wav2vec2-xlsr-arabic")
+
+
+def transcribe_ta(audio):    
+    text = p_ta(audio)["text"]
+    return text
+
+def transcribe_ta_stream(audio, state=""):
     time.sleep(2)
-    text = p(audio)["text"]
+    text = p_ta(audio)["text"]
     state += text + " " 
     return state, state
 
+def transcribe_ar(audio):    
+    text = p_ar(audio)["text"]
+    return text
+
+def transcribe_ar_stream(audio, state=""):
+    time.sleep(2)
+    text = p_ar(audio)["text"]
+    state += text + " " 
+    return state, state
 
-gr.Interface(
-    fn=transcribe,
+# transcribe Tamil stream
+ta_tr_stream_tab = gr.Interface(
+    fn=transcribe_ta_stream,
     inputs=[
         gr.Audio(source="microphone", type="filepath", streaming=True),
         "state"
@@ -23,4 +41,46 @@ gr.Interface(
     "textbox",
     "state"
     ],
-    live=True).launch()
+    live=True)
+# transcribe Arabic stream
+ar_tr_stream_tab = gr.Interface(
+    fn=transcribe_ar_stream,
+    inputs=[
+        gr.Audio(source="microphone", type="filepath", streaming=True),
+        "state"
+    ],
+    outputs=[
+    "textbox",
+    "state"
+    ],
+    live=True)
+
+# transcribe Tamil file
+ta_tr_file_tab = gr.Interface(
+    fn=transcribe_ta,
+    inputs=[
+        gr.Audio(source="microphone", type="filepath")
+    ],
+    outputs="text")
+
+# transcribe Arabic file
+ar_tr_file_tab = gr.Interface(
+    fn=transcribe_ar,
+    inputs=[    
+        gr.Audio(source="microphone", type="filepath")
+    ],
+    outputs="text")    
+
+
+tabs = gr.TabbedInterface(
+    [ta_tr_stream_tab, ar_tr_stream_tab,ta_tr_file_tab, ar_tr_file_tab],
+    [
+        "Tamil Live Transcription",
+        "Arabic Live Transcription",
+        "Tamil File Transcription",
+        "Arabic File Transcription",
+    ]
+)
+
+if __name__ == "__main__":
+    tabs.launch()