Delete app.py

app.py

@@ -1,26 +0,0 @@
-import gradio as gr
-
-from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
-import torch
-from peft import LoraConfig, PeftModel
-
-base_model_name = "microsoft/phi-2"
-new_model = "./checkpoint-360"
-
-model = AutoModelForCausalLM.from_pretrained( "microsoft/phi-2", trust_remote_code=True)
-model.config.use_cache = False
-model.load_adapter(new_model)
-
-tokenizer = AutoTokenizer.from_pretrained(base_model_name, trust_remote_code=True)
-tokenizer.pad_token = tokenizer.eos_token
-tokenizer.padding_side = "right"
-
-def QLoRA_Chatgpt(prompt):
-    print(prompt)
-    pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200)
-    result = pipe(f"<s>[INST] {prompt} [/INST]")
-    return(result[0]['generated_text'])
-    # return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=QLoRA_Chatgpt, inputs=gr.Textbox("how can help you today", label='prompt'), outputs=gr.Textbox(label='Generated-output'))
-iface.launch(share=True)