Aws sagemaker deployed model that takes an image at endpoint
so i have deployed the “Salesforce/blip-image-captioning-base” model on aws sagemaker, i am having trouble with the last part, i don’t know what should be the request format for the json so that i can get the response from the api endpoint on sagemaker.data = {
    "inputs": {
        "image": "https://images.unsplash.com/photo-1481349518771-20055b2a7b24?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxzZWFyY2h8NHx8cmFuZG9tfGVufDB8fDB8fHww&w=1000&q=80"
    }
}

predictor.predict(data)this is what i am executing and i am getting this exception:ModelError                                Traceback (most recent call last)in5 }6----> 7 predictor.predict(data)/opt/conda/lib/python3.7/site-packages/sagemaker/base_predictor.py in predict(self, data, initial_args, target_model, target_variant, inference_id)165             data, initial_args, target_model, target_variant, inference_id166         )→ 167         response = self.sagemaker_session.sagemaker_runtime_client.invoke_endpoint(**request_args)168         return self._handle_response(response)169/opt/conda/lib/python3.7/site-packages/botocore/client.py in _api_call(self, *args, **kwargs)528                 )529             # The “self” in this scope is referring to the BaseClient.→ 530             return self._make_api_call(operation_name, kwargs)531532         _api_call.name= str(py_operation_name)/opt/conda/lib/python3.7/site-packages/botocore/client.py in _make_api_call(self, operation_name, api_params)962             error_code = parsed_response.get(“Error”, {}).get(“Code”)963             error_class = self.exceptions.from_code(error_code)→ 964             raise error_class(parsed_response, operation_name)965         else:966             return parsed_responseModelError: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received client error (400) from primary with message "{“code”: 400,“type”: “InternalServerException”,“message”: “Incorrect format used for image. Should be an url linking to an image, a local path, or a PIL image.”}
2023-06-25T14:38:17Z
if run this code instead:predictor.predict({
    "inputs":"https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg",
})i get this error instead:ModelError: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received client error (400) from primary with message "{“code”: 400,“type”: “InternalServerException”,“message”: “\u0027NoneType\u0027 object is not callable”}does anyone have any idea how to deal with endpoints that require images in huggingface models?
2023-07-18T14:02:55Z
Did you ever find a solution to this? I am running into the same issue.
2023-07-18T14:14:49Z
Hello, yes - the solution was found here:huggingface.coSalesforce/blip-image-captioning-base · Input for calling predictor.predict()...Hi would like to call predictor.predict() on Sagemaker but I haven't been able to figure out or find how the input should be structured. Is there anyone who could provide me with an example?
2024-02-14T23:38:22Z
did anyone ever figure out how to make the endpoint work?