Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -1,10 +1,12 @@
|
|
1 |
import gradio as gr
|
2 |
from gradio_client import Client
|
3 |
-
|
4 |
from PIL import Image
|
5 |
import io
|
6 |
import base64
|
7 |
|
|
|
|
|
8 |
def convert_base64_to_img(image_string):
|
9 |
# Split the input string to separate the metadata header and the base64-encoded data
|
10 |
header, encoded_data = image_string.split(",", 1)
|
@@ -25,7 +27,7 @@ def convert_base64_to_img(image_string):
|
|
25 |
|
26 |
def infer(image_string, question):
|
27 |
image_in = convert_base64_to_img(image_string)
|
28 |
-
client = Client("https://fffiloni-moondream1.hf.space/")
|
29 |
result = client.predict(
|
30 |
image_in, # filepath in 'image' Image component
|
31 |
question, # str in 'Question' Textbox component
|
|
|
1 |
import gradio as gr
|
2 |
from gradio_client import Client
|
3 |
+
import os
|
4 |
from PIL import Image
|
5 |
import io
|
6 |
import base64
|
7 |
|
8 |
+
hf_token = os.environ.get("KF_TKN")
|
9 |
+
|
10 |
def convert_base64_to_img(image_string):
|
11 |
# Split the input string to separate the metadata header and the base64-encoded data
|
12 |
header, encoded_data = image_string.split(",", 1)
|
|
|
27 |
|
28 |
def infer(image_string, question):
|
29 |
image_in = convert_base64_to_img(image_string)
|
30 |
+
client = Client("https://fffiloni-moondream1.hf.space/", hf_token=hf_token)
|
31 |
result = client.predict(
|
32 |
image_in, # filepath in 'image' Image component
|
33 |
question, # str in 'Question' Textbox component
|