Spaces:
Running
Running
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import spaces
|
2 |
+
import gradio as gr
|
3 |
+
from panna import CLIPInterrogator
|
4 |
+
|
5 |
+
model = CLIPInterrogator()
|
6 |
+
css = """
|
7 |
+
#col-container {
|
8 |
+
margin: 0 auto;
|
9 |
+
max-width: 580px;
|
10 |
+
}
|
11 |
+
"""
|
12 |
+
|
13 |
+
@spaces.GPU
|
14 |
+
def infer(image, best_max_flavors):
|
15 |
+
image = image.convert('RGB')
|
16 |
+
return model.image2text([image], best_max_flavors=best_max_flavors)[0]
|
17 |
+
|
18 |
+
|
19 |
+
with gr.Blocks(css=css) as demo:
|
20 |
+
with gr.Column(elem_id="col-container"):
|
21 |
+
gr.Markdown("# CLIP Interrogator.")
|
22 |
+
input_image = gr.Image(type='pil')
|
23 |
+
with gr.Row():
|
24 |
+
flavor_input = gr.Slider(minimum=2, maximum=48, step=2, value=32, label='best mode max flavors')
|
25 |
+
run_button = gr.Button("Submit")
|
26 |
+
output_text = gr.Textbox(label="Description Output")
|
27 |
+
run_button.click(fn=infer, inputs=[input_image, flavor_input], outputs=[output_text], concurrency_limit=10)
|
28 |
+
demo.launch(server_name="0.0.0.0")
|