Update app.py

app.py

@@ -112,40 +112,6 @@ def transcribe(audio_filepath, src_lang, tgt_lang, pnc):
 					output_text = hyps[0].text
 
 	return output_text
-
-import torch
-from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
-
-torch.random.manual_seed(0)
-
-model = AutoModelForCausalLM.from_pretrained(
-    "microsoft/Phi-3-mini-128k-instruct", 
-    device_map="auto", 
-    torch_dtype="auto", 
-    trust_remote_code=True, 
-)
-tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-128k-instruct")
-
-messages = [
-    {"role": "user", "content": str(output_text)},
-]
-
-pipe = pipeline(
-    "text-generation",
-    model=model,
-    tokenizer=tokenizer,
-)
-
-generation_args = {
-    "max_new_tokens": 500,
-    "return_full_text": True,
-    "temperature": 0.0,
-    "do_sample": False,
-}
-
-output_text = pipe(messages, **generation_args)
-print(output[0]['generated_text'])
-    
 	
 with gr.Blocks(
 	title="myAlexa",