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import s23_openai_clip
import gradio as gr
import zipfile
# query_text = "dogs on the grass"
image_path = "./Images"
captions_path = "."
with zipfile.ZipFile('flickr8k.zip', 'r') as zip_ref:
zip_ref.extractall('Images')
_, valid_df = make_train_valid_dfs()
model, image_embeddings = get_image_embeddings(valid_df, "best.pt")
def greet(query_text):
return inference_CLIP2(query_text)
gallery = gr.Gallery(
label="Generated images", show_label=True, elem_id="gallery",
columns=[3], rows=[3], object_fit="contain", height="auto")
# btn = gr.Button("Generate images", scale=0)
demo = gr.Interface(fn=greet, inputs="text",
outputs=gallery)
demo.launch("debug") |