Update app.py

app.py

@@ -51,7 +51,7 @@ app = Flask(__name__)
 # Use whisper-small for faster processing and better speed
 device = "cuda" if torch.cuda.is_available() else "cpu"
 asr_model = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if device == "cuda" else -1)
-
+print(query_salesforce_data(sf))
 def query_salesforce_data(sf):
     # Example of querying a customer record
     try:
@@ -79,7 +79,6 @@ prompts = {
 
 for key, text in prompts.items():
     generate_audio_prompt(text, f"{key}.mp3")
-    query_salesforce_data(sf)
 
 # Symbol mapping for proper recognition
 SYMBOL_MAPPING = {