Update app.py

app.py

@@ -7,14 +7,14 @@ from TTS.api import TTS  # Coqui TTS library
 import PyPDF2
 
 # Initialize Models
-stt_model = pipeline("automatic-speech-recognition", model="openai/whisper-tiny")
-embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
+stt_model = pipeline("automatic-speech-recognition", model="openai/whisper-tiny")  # Fast STT model
+embedding_model = SentenceTransformer("paraphrase-MiniLM-L6-v2")  # Optimized embedding model
 
-gpt_model_name = "google/flan-t5-small"  # Switched to a smaller model for faster loading
+gpt_model_name = "google/flan-t5-small"  # Lightweight question generation model
 gpt_tokenizer = AutoTokenizer.from_pretrained(gpt_model_name)
 gpt_model = AutoModelForSeq2SeqLM.from_pretrained(gpt_model_name)
 
-tts_model = TTS(model_name="tts_models/en/ljspeech/glow-tts", progress_bar=False, gpu=False)  # Updated TTS model to avoid errors
+tts_model = TTS(model_name="tts_models/en/ljspeech/glow-tts", progress_bar=False, gpu=False)  # Efficient TTS model
 
 # Parse PDF and create resume content
 def parse_resume(pdf):