updated req.txt and app.py

app.py

@@ -1,5 +1,5 @@
 from transformers import pipeline
-from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 from peft import PeftModel, PeftConfig
 import gradio as gr
 import torch
@@ -13,7 +13,7 @@ model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype=torch.bfloa
 model = PeftModel.from_pretrained(model, peft_model_path)
 tokenizer = AutoTokenizer.from_pretrained(base_model)
 
-pipeline = transformers.pipeline(
+pipeline = pipeline(
     "text-generation",
     model=model,
     tokenizer=tokenizer,