delete file

app copy.py

@@ -1,43 +0,0 @@
-import gradio as gr
-import spaces
-
-import os
-import gc
-import random
-import warnings
-
-warnings.filterwarnings("ignore")
-
-import numpy as np
-import pandas as pd
-
-pd.set_option("display.max_rows", 500)
-pd.set_option("display.max_columns", 500)
-pd.set_option("display.width", 1000)
-from tqdm.auto import tqdm
-
-import torch
-import torch.nn as nn
-import tokenizers
-import transformers
-
-print(f"tokenizers.__version__: {tokenizers.__version__}")
-print(f"transformers.__version__: {transformers.__version__}")
-print(f"torch.__version__: {torch.__version__}")
-print(f"torch cuda version: {torch.version.cuda}")
-from transformers import AutoTokenizer, AutoConfig
-from transformers import BitsAndBytesConfig, AutoModelForCausalLM, MistralForCausalLM
-from peft import LoraConfig, get_peft_model
-
-
-title = "H2O AI Predict the LLM"
-
-zero = torch.Tensor([0]).cuda()
-print(zero.device) # <-- 'cpu' 🤔
-
-@spaces.GPU
-def greet(n):
-    print(zero.device) # <-- 'cuda:0' 🤗
-    return f"Hello {zero + n} Tensor"
-
-gr.Interface(fn=greet, inputs=gr.Number(), outputs=gr.Text()).launch()