Updated app.py: added examples

app.py

@@ -3,10 +3,14 @@ from transformers import pipeline, Wav2Vec2ProcessorWithLM
 import os
 
 def transcribe(audio, model_id, model_revison):
-    # load processor
-    p = Wav2Vec2ProcessorWithLM.from_pretrained(model_id, revision=model_revison)
-    # load eval pipeline
-    asr = pipeline("automatic-speech-recognition", model=model_id, tokenizer=p.tokenizer, feature_extractor=p.feature_extractor, decoder=p.decoder, token=os.getenv('HF_TOKEN'))
+    if model_revison != "main":
+        # load processor
+        p = Wav2Vec2ProcessorWithLM.from_pretrained(model_id, revision=model_revison)
+        # load eval pipeline
+        asr = pipeline("automatic-speech-recognition", model=model_id, tokenizer=p.tokenizer, feature_extractor=p.feature_extractor, decoder=p.decoder, token=os.getenv('HF_TOKEN'))
+    else:
+        # load eval pipeline
+        asr = pipeline("automatic-speech-recognition", model=model_id, token=os.getenv('HF_TOKEN'))
 
     text = asr(audio)["text"]
     return text
@@ -24,9 +28,20 @@ asr_app = gr.Interface(
         ),
         gr.Radio(["main","lm"])
     ],
+    examples=[
+        ["./examples/CV/hausa/common_voice_ha_32885169.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-hausa-500hr-v0", "lm"],
+        ["./examples/CV/hausa/common_voice_ha_29417456.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-hausa-500hr-v0", "lm"],
+        ["./examples/CV/hausa/common_voice_ha_28554827.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-hausa-500hr-v0", "main"],
+        ["./examples/CV/igbo/common_voice_ig_31594237.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-igbo-500hr-v0", "lm"],
+        ["./examples/CV/igbo/common_voice_ig_30710992.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-igbo-500hr-v0", "lm"],
+        ["./examples/CV/igbo/common_voice_ig_30692048.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-igbo-500hr-v0", "main"],
+        ["./examples/CV/yoruba/common_voice_yo_36914062.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-yoruba-500hr-v0", "lm"],
+        ["./examples/CV/yoruba/common_voice_yo_36841367.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-yoruba-500hr-v0", "lm"],
+        ["./examples/CV/yoruba/common_voice_yo_36526475.wav", "asr-africa/wav2vec2-xls-r-1b-naijavoices-yoruba-500hr-v0", "main"]
+    ],
     outputs="text",
     title="NaijaVoices ASR",
     description="Realtime demo for Hausa, Igbo and Yoruba speech recognition using a fine-tuned Wav2Vec2-XLS-R 1B model.",
 )
 
-asr_app.launch(share=True)
+asr_app.launch()