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import gradio as gr
import requests, json
import os
import io
import IPython.display
from PIL import Image
#import base64
#Image-to-text endpoint
def get_completion(inputs, parameters=None, ENDPOINT_URL="http://internal-aws-prod-internal-revproxy-alb-11660607.us-west-1.elb.amazonaws.com/rev-proxy/huggingface/itt"):
headers = {
"Authorization": f"Bearer {HF_TOKENS}",
"Content-Type": "application/json"
}
data = { "inputs": inputs }
if parameters is not None:
data.update({"parameters": parameters})
response = requests.request("POST",
ENDPOINT_URL,
headers=headers,
data=json.dumps(data))
return json.loads(response.content.decode("utf-8"))
def image_to_base64_str(pil_image):
byte_arr = io.BytesIO()
pil_image.save(byte_arr, format='PNG')
byte_arr = byte_arr.getvalue()
return str(base64.b64encode(byte_arr).decode('utf-8'))
def captioner(image):
base64_image = image_to_base64_str(image)
result = get_completion(base64_image)
return result[0]['generated_text']
gr.close_all()
demo = gr.Interface(fn=captioner,
inputs=[gr.Image(label="Upload image", type="pil")],
outputs=[gr.Textbox(label="Caption")],
title="Image Captioning with BLIP",
description="Caption any image using the BLIP model",
allow_flagging="never")
#demo = gr.Interface(fn=captioner,
# inputs=[gr.Image(label="Upload image", type="pil")],
#// outputs=[gr.Textbox(label="Caption")],
# // title="Image Captioning with BLIP",
# // description="Caption any image using the BLIP model",
# // allow_flagging="never",
# // examples=["christmas_dog.jpeg", "bird_flight.jpeg", "cow.jpeg"])
demo.launch() |