Update app.py

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+import torch
+import pandas as pd
+from datasets import Dataset, load_dataset
+from peft import LoraConfig, PeftModel, prepare_model_for_kbit_training, get_peft_model
+from transformers import (AutoTokenizer, BitsAndBytesConfig, TrainingArguments, AutoModelForSequenceClassification, Trainer, EarlyStoppingCallback, DataCollatorWithPadding)
+import bitsandbytes as bnb
+import evaluate
+import numpy as np
+import random
 
-def greet(name):
-    return "Hello " + name + "!!"
+def process(model, dataset):
+    dataset_imdb = load_dataset(dataset)
+    return "Done"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo = gr.Interface(fn=process, inputs=["model", "dataset"], outputs="text")
 demo.launch()