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import requests
import gradio as gr
import openai
openai.api_key = "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"
def infer(im):
im.save("converted.png")
url = "https://ajax.thehive.ai/api/demo/classify?endpoint=text_recognition"
files = {
"image": ("converted.png", open("converted.png", "rb"), "image/png"),
"model_type": (None, "detection"),
"media_type": (None, "photo"),
}
headers = {"referer": "https://thehive.ai/"}
res = requests.post(url, headers=headers, files=files)
text = ""
blocks = []
for output in res.json()["response"]["output"]:
text += output["block_text"]
for poly in output["bounding_poly"]:
blocks.append({
"text": "".join([c["class"] for c in poly["classes"]]),
"rect": poly["dimensions"]
})
return blocks
iface = gr.Interface(fn=infer,
title="Mariam - Beta",
description=" La maj du siècle. ",
inputs=[gr.Image(type="pil")],
outputs=gr.Text(),
).launch() |