fix: audio interface

app.py

@@ -8,37 +8,27 @@ forced_decoder_ids = processor.get_decoder_prompt_ids(language="fa", task="trans
 
 
 def transcribe(audio):
-    print(audio)
     if audio is None:
         return "No audio input provided. Please record or upload an audio file."
 
-    sample_rate, array = audio
-    sr = 16000
+    # audio is now a file path, not a tuple
+    try:
+        array, sample_rate = librosa.load(audio, sr=16000)
+    except Exception as e:
+        return f"Error loading audio file: {str(e)}"
+
+    # The rest of the function remains the same
     array = librosa.to_mono(array)
-    array = librosa.resample(array, orig_sr=sample_rate, target_sr=16000)
-    input_features = processor(array, sampling_rate=sr, return_tensors="pt").input_features
+    input_features = processor(array, sampling_rate=sample_rate, return_tensors="pt").input_features
 
     # generate token ids
-    predicted_ids = model.generate(input_features)
+    predicted_ids = model.generate(input_features, forced_decoder_ids=forced_decoder_ids)
     # decode token ids to text
     transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
-    return transcription
-
-
-# input_audio = gr.Audio(
-#     sources=["microphone"],
-#     waveform_options=gr.WaveformOptions(
-#         waveform_color="#01C6FF",
-#         waveform_progress_color="#0066B4",
-#         skip_length=2,
-#         show_controls=True,
-#     ),
-# )
-# demo = gr.Interface(
-#     fn=reverse_audio,
-#     inputs=input_audio,
-#     outputs="text"
-# )
+    print(transcription)
+    return transcription[0]  # Return the first (and only) transcription
+
+
 demo = gr.Interface(
     fn=transcribe,
     inputs=[gr.Audio(sources=["microphone"], type="filepath")],