Update app.py

app.py

@@ -9,11 +9,11 @@ from waitress import serve
 
 app = Flask(__name__)
 
-# Load Whisper ASR Model for Better Speed & Accuracy
+# 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)  # Small model for faster inference
+asr_model = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=0 if device == "cuda" else -1)
 
-# Function to generate voice prompts
+# Function to generate audio prompts
 def generate_audio_prompt(text, filename):
     tts = gTTS(text=text, lang="en")
     tts.save(os.path.join("static", filename))
@@ -54,8 +54,8 @@ def convert_to_wav(input_path, output_path):
 # Function to check if audio contains actual speech
 def is_silent_audio(audio_path):
     audio = AudioSegment.from_wav(audio_path)
-    nonsilent_parts = detect_nonsilent(audio, min_silence_len=300, silence_thresh=audio.dBFS-16)  # Reduced silence duration
-    return len(nonsilent_parts) == 0
+    nonsilent_parts = detect_nonsilent(audio, min_silence_len=500, silence_thresh=audio.dBFS-16)  # Reduced silence duration
+    return len(nonsilent_parts) == 0  # If no speech detected
 
 @app.route("/")
 def index():