Roboflow project workspace's workflow

[151_Hitesh_kamwal_J]

i was trying to use workflow using inference_sdk when my py script send the request to the API it return “Exception has occurred: HTTPCallErrorError”

api_message=‘None’,status_code=405)

it would be helpful if anyone can help it

below is my code py code:

from inference_sdk import *
import cv2
from matplotlib import pyplot as plt
import base64
import json
import numpy as np
client = InferenceHTTPClient(
api_url=“detect.roboflow.com/infer/workflows/school-xcwwx/d239049c-f89d-45fe-ae7e-13c767685aef”,
api_key=“”
)
def image_to_base64(image_path):
with open(image_path, “rb”) as image_file:
encoded_image = base64.b64encode(image_file.read())
return encoded_image.decode(‘utf-8’) # Convert bytes to a UTF-8 encoded string

imahepath = “temp_image/uplode214321.jpeg”
image = image_to_base64(imahepath)

image = cv2.imread(“temp_image/uplode214321.jpeg”)

data={
“version”: “1.0”,
“inputs”: [
{
“type”: “InferenceImage”,
“name”: {“image”: image},
}
],
“steps”: [
{
“type”: “ObjectDetectionModel”,
“name”: “step_1”,
“image”: “$inputs.image”,
“model_id”: “panextraction/2”,
“confidence”: 0.5,
“iou_threshold”: 0.4
},
{
“type”: “Crop”,
“name”: “step_2”,
“image”: “$inputs.image”,
“detections”: “$steps.step_1.predictions”
},
{
“type”: “OCRModel”,
“name”: “step_3”,
“image”: “$steps.step_2.crops”
}
],
“outputs”: [
{
“type”: “JsonField”,
“name”: “predictions”,
“selector”: “$steps.step_1.predictions”
},
{
“type”: “JsonField”,
“name”: “crops”,
“selector”: “$steps.step_2.crops”
},
{
“type”: “JsonField”,
“name”: “ocr”,
“selector”: “$steps.step_3.result”
},
{
“type”: “JsonField”,
“name”: “ocr_parents”,
“selector”: “$steps.step_3.parent_id”
}
]
}
specification={
“specification”: {
“version”: “1.0”,
“inputs”: data[“inputs”],
“steps”: data[“steps”],
“outputs”: data[“outputs”]
}},

client.configure(
InferenceConfiguration(output_visualisation_format=VisualisationResponseFormat.NUMPY)
)

jstring=specification[0][“specification”]
license_plate_result_1 = client.infer_from_workflow(
specification=jstring,
# images={“image”: image}
)

plt.title(f"Recognised plate: {license_plate_result_1[‘recognised_plates’]}")
plt.imshow(license_plate_result_1[“crops”][0][“value”][:, :, ::-1])
plt.show()

• Project Type: ObjectDetectionModel
• Operating System & Browser: Windows 10 & Chrom
• Project Universe Link or Workspace/Project ID: universe link