I trained a model using google cloud auto ml. Then I proceeded to build an app using streamlit that can make predictions using the python client code provided by Google AutoML. But I get the error ValueError: Protocol message FieldDescriptorProto has no "proto3_optional" field
.
Below is the code snippet
uploaded_file = st.file_uploader("Choose an image...", type="jpg")
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image, caption='Uploaded Image.', use_column_width=True)
st.write("")
st.write("Classifying...")
from google.cloud import automl_v1beta1
from google.cloud import service_pb2
from google.cloud import vision
from google.cloud.vision import types
import base64
from google.cloud import automl
def list_model_evaluations(project_id, model_id):
from google.cloud import automl
project_id = "xxxx"
model_id = "xxxx"
client = automl.AutoMlClient()
model_full_id = client.model_path(project_id, "us-central1", model_id)
print("List of model evaluations:")
for evaluation in client.list_model_evaluations(parent=model_full_id, filter=""):
print("Model evaluation name: {}".format(evaluation.name))
print(
"Model annotation spec id: {}".format(
evaluation.annotation_spec_id
)
)
print("Create Time: {}".format(evaluation.create_time))
print(
"Evaluation example count: {}".format(
evaluation.evaluated_example_count
)
)
print(
"Classification model evaluation metrics: {}".format(
evaluation.classification_evaluation_metrics
)
)
Help will be greatly appreciated.
Probably you have some dependency incompatibility which seems quite common with protobuf. I presume you have something like 'protobuf==xx.yy.zz' in your requirements.txt file (or whatever file of dependencies you have) - can you please swap it just for 'protobuf'.