Update vocca_ai/ai_response.py

vocca_ai/ai_response.py

@@ -1,6 +1,6 @@
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
-# Load a high-quality summarization model
+
 model_name = "google/flan-t5-large"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
@@ -15,7 +15,7 @@ def generate_call_summary(transcript):
 
     return tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-# Example Usage
+
 if __name__ == "__main__":
     sample_text = "Patient: Hi, I need to schedule an appointment as soon as possible. I’ve been feeling really weak and dizzy for the past few days."
     print(f"Call Summary: {generate_call_summary(sample_text)}")