Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,10 +1,18 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
GK=0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
|
| 4 |
def greet(name):
|
| 5 |
global GK
|
| 6 |
while True:
|
| 7 |
GK+=1
|
|
|
|
| 8 |
yield f"namber is {GK}"
|
| 9 |
|
| 10 |
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
GK=0
|
| 3 |
+
from transformers import AutoTokenizer,VitsModel
|
| 4 |
+
import torch
|
| 5 |
+
token=os.environ.get("key_")
|
| 6 |
+
tokenizer = AutoTokenizer.from_pretrained("wasmdashai/vits-ar-sa-huba",token=token)
|
| 7 |
+
#device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 8 |
+
model_vits=VitsModel.from_pretrained("wasmdashai/vits-ar-sa-huba",token=token)#.to(device)
|
| 9 |
+
|
| 10 |
|
| 11 |
def greet(name):
|
| 12 |
global GK
|
| 13 |
while True:
|
| 14 |
GK+=1
|
| 15 |
+
model_vits=VitsModel.from_pretrained("wasmdashai/vits-ar-sa-huba",token=token)#.to(device)
|
| 16 |
yield f"namber is {GK}"
|
| 17 |
|
| 18 |
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
|