Correcting app.py error

app.py

@@ -5,12 +5,15 @@ local_model_name = "wav2vec2_model_pipeline"
 speech_recognizer = pipeline("automatic-speech-recognition", model = local_model_name)
 
 def greet_and_transcribe(name, intensity, input_audio):
-    input_audio_rs = librosa.resample(
-        input_audio[1].astype(float),
-        orig_sr=input_audio[0],
-        target_sr=speech_recognizer.feature_extractor.sampling_rate)
-    transcribed_audio = speech_recognizer(input_audio_rs)["text"]
-    return "Hello, " + name + "!" * int(intensity), transcribed_audio
+    try:
+        input_audio_rs = librosa.resample(
+            input_audio[1].astype(float),
+            orig_sr=input_audio[0],
+            target_sr=speech_recognizer.feature_extractor.sampling_rate)
+        transcribed_audio = speech_recognizer(input_audio_rs)["text"]
+        return "Hello, " + name + "!" * int(intensity), transcribed_audio
+    except Exception as err:
+        return "Hello, " + name + "!" * int(intensity), err
 
 demo = gr.Interface(
     title="A simple audio transcribing model",
@@ -21,9 +24,7 @@ demo = gr.Interface(
         gr.Text(placeholder="input your name here"),
         gr.Slider(minimum=1, maximum=5, value=3),
         gr.Audio()],
-    outputs=["text", "text"],
-    cache_examples="lazy",
-    allow_flagging="auto",
-    # article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+    outputs=[gr.Text(label="Greeting"), gr.Text(label="Transcribed output")],
+    allow_flagging="auto"
 )
 demo.launch(share=True)

wav2vec2_model_pipeline/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ecc0894f391d5a74a066563afb948f12e0b60118d6958a62276bbb062546149d
+oid sha256:4555726530352261d56919d55eae9002a57ba5c78a6f9d1fbe384ba838b30c61
 size 377611120