Spaces:
Runtime error
Runtime error
SaintJagh
commited on
Commit
·
0962232
1
Parent(s):
27c9c6f
Add application file
Browse files
app.py
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import torch
|
2 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
3 |
+
from peft import PeftModel
|
4 |
+
import gradio as gr
|
5 |
+
|
6 |
+
BASE_MODEL = "PartAI/Dorna-Llama3-8B-Instruct"
|
7 |
+
LORA_PATH = "./dorna-diabetes-finetuned" # این پوشه رو آپلود میکنی توی اسپیس
|
8 |
+
|
9 |
+
tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL)
|
10 |
+
|
11 |
+
base_model = AutoModelForCausalLM.from_pretrained(
|
12 |
+
BASE_MODEL,
|
13 |
+
device_map="auto",
|
14 |
+
torch_dtype=torch.float16,
|
15 |
+
)
|
16 |
+
|
17 |
+
model = PeftModel.from_pretrained(base_model, LORA_PATH)
|
18 |
+
|
19 |
+
def generate_response(prompt):
|
20 |
+
input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(model.device)
|
21 |
+
with torch.no_grad():
|
22 |
+
output = model.generate(
|
23 |
+
input_ids=input_ids,
|
24 |
+
max_new_tokens=200,
|
25 |
+
do_sample=True,
|
26 |
+
temperature=0.7,
|
27 |
+
top_p=0.9,
|
28 |
+
)
|
29 |
+
return tokenizer.decode(output[0], skip_special_tokens=True)
|
30 |
+
|
31 |
+
gr.Interface(fn=generate_response, inputs="text", outputs="text", title="Dorna-Llama3 LoRA").launch()
|