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import gradio as gr | |
from PIL import Image | |
import requests | |
import io | |
import base64 | |
import imghdr | |
def call(input_image): | |
buffer = io.BytesIO() | |
input_image.save(buffer, format='PNG') # You can choose the format | |
base64_string = base64.b64encode(buffer.getvalue()).decode('utf-8') | |
# Decode the base64 string to binary data | |
image_data = base64.b64decode(base64_string) | |
# Detect the image type | |
image_type = imghdr.what(None, image_data) | |
# Map the image type to a MIME type | |
mime_type = f"image/{image_type}" if image_type else "application/octet-stream" | |
# Create the data URL | |
data_url = f"data:{mime_type};base64,{base64_string}" | |
url = 'https://matthewfarant-business-card-scanner.hf.space/api/scan' | |
headers = { | |
'accept': 'application/json', | |
'X-API-Key': 'sk-3a85ec28-b262-448f-9736-a4717740c8b6', | |
'Content-Type': 'application/json' | |
} | |
data = { | |
'url': data_url | |
} | |
response = requests.post(url, headers=headers, json=data) | |
if response.status_code == 200: | |
return response.json() | |
else: | |
response.raise_for_status() | |
app = gr.Interface(fn=call, inputs=gr.Image(type = 'pil'), outputs="textbox") | |
if __name__ == "__main__": | |
app.launch() |