Update app.py

app.py

@@ -55,13 +55,20 @@ def convert_mp4_to_mp3(mp4_path, mp3_path):
 # Transcribe audio
 def transcribe_audio(audio_path):
     try:
+        if not os.path.exists(audio_path):
+            raise FileNotFoundError(f"Audio file not found: {audio_path}")
+
+        # Read the audio file and prepare inputs for Whisper
         inputs = ffmpeg_read(audio_path, whisper_pipeline.feature_extractor.sampling_rate)
         inputs = {"array": inputs, "sampling_rate": whisper_pipeline.feature_extractor.sampling_rate}
+        
+        # Perform transcription using Whisper
         result = whisper_pipeline(inputs, batch_size=BATCH_SIZE, return_timestamps=False)
         return result["text"]
     except Exception as e:
         return f"Error during transcription: {e}"
 
+
 # Classify the sentence to the correct SOAP section
 def classify_sentence(sentence):
     similarities = {section: util.pytorch_cos_sim(embedder.encode(sentence), soap_embeddings[section]) for section in soap_prompts.keys()}