added russian language

app.py

@@ -7,7 +7,8 @@ wav2vec_models = {
     "en" : pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-960h"),
     "fr" : pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-french"),
     "es" : pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-spanish"),
-    "it" : pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-italian")
+    "it" : pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-italian"),
+    "ru" : pipeline("automatic-speech-recognition", model="anton-l/wav2vec2-large-xlsr-53-russian")
 }
 whisper_model = whisper.load_model("base")
 
@@ -36,12 +37,13 @@ examples = [["en", None, "english_sentence.flac"],
             ["es", None, "momiasartesecretodelantiguoegipto-nationalgeographicespana-ivoox73191074.mp3000.mp3"],
             ["es", None, "millonarioscohetesrepresentaestanuev-xataka-ivoox73148634.mp3000.mp3"],
             ["it", None, "Ansa_voice_barbero_no_sigla.mp3000.mp3"],
-            ["it", None, "A304176327.mp3000.mp3"]]
+            ["it", None, "A304176327.mp3000.mp3"],
+            ["ru", None, "ekonomika-s-nikitoy-krichevskim-21-07-2021-podcast6127-serie444725.mp3000.mp3"]]
 
 gr.Interface(
     fn=transcribe_audio,
     inputs=[
-        gr.Radio(label="Language", choices=["en", "fr", "es","it"], value="en"),
+        gr.Radio(label="Language", choices=["en", "fr", "es","it", "ru"], value="en"),
         gr.Audio(source="microphone", type="filepath", optional=True),
         gr.Audio(source="upload", type="filepath", optional=True),
     ],