File size: 701 Bytes
c6a1f1b f48b20b de259b5 f48b20b a964b00 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
import gradio as gr
# gr.Interface.load("prasanna2003/blip-image-captioning").launch()
from PIL import Image
import requests
import gradio as gr
from transformers import BlipProcessor, BlipForConditionalGeneration
model_id = "prasanna2003/blip-image-captioning"
model = BlipForConditionalGeneration.from_pretrained(model_id)
processor = BlipProcessor.from_pretrained(model_id)
def launch(input):
image = Image.open(requests.get(input, stream=True).raw).convert('RGB')
inputs = processor(image, return_tensors="pt")
out = model.generate(**inputs)
return processor.decode(out[0], skip_special_tokens=True)
iface = gr.Interface(launch, inputs="text", outputs="text")
iface.launch() |