update app output as gallery
Browse files
app.py
CHANGED
@@ -1,18 +1,24 @@
|
|
1 |
-
|
2 |
-
|
3 |
import s23_openai_clip
|
4 |
import gradio as gr
|
5 |
|
6 |
|
|
|
|
|
|
|
|
|
7 |
_, valid_df = make_train_valid_dfs()
|
8 |
model, image_embeddings = get_image_embeddings(valid_df, "best.pt")
|
9 |
|
10 |
-
query_text = "dogs on the grass"
|
11 |
|
12 |
|
13 |
def greet(query_text):
|
14 |
-
return
|
15 |
|
16 |
|
17 |
-
|
|
|
|
|
|
|
|
|
|
|
18 |
demo.launch("debug")
|
|
|
|
|
|
|
1 |
import s23_openai_clip
|
2 |
import gradio as gr
|
3 |
|
4 |
|
5 |
+
# query_text = "dogs on the grass"
|
6 |
+
image_path = "./Images"
|
7 |
+
|
8 |
+
!unzip flickr8k.zip
|
9 |
_, valid_df = make_train_valid_dfs()
|
10 |
model, image_embeddings = get_image_embeddings(valid_df, "best.pt")
|
11 |
|
|
|
12 |
|
13 |
|
14 |
def greet(query_text):
|
15 |
+
return inference_CLIP2(query_text)
|
16 |
|
17 |
|
18 |
+
gallery = gr.Gallery(
|
19 |
+
label="Generated images", show_label=True, elem_id="gallery",
|
20 |
+
columns=[3], rows=[3], object_fit="contain", height="auto")
|
21 |
+
# btn = gr.Button("Generate images", scale=0)
|
22 |
+
demo = gr.Interface(fn=greet, inputs="text",
|
23 |
+
outputs=gallery)
|
24 |
demo.launch("debug")
|