As per the documentation of HTTP API
model/train would return 200 Zipped Rasa model
My question is instead of storing the zipped Model inside the models directory i would like to get this model and push it some where like an S3 bucket.
what if i write a code like
model = requests.post(‘http://localhost:8002/model/train’,headers=headers,data=json.dumps(data)).content
what does model var would hold ? name of the model or the model itself
If i print the model variable it would return something like a binary string b’\x1f\x8b\x08\x08\x99\xb7\xa5]\x02\xffcore-20191015-174209.tar\x00\xec\xbdY\x8f\xabZ\xba…’ which i cant figure out.
Is this model name or can i be able to convert it some format like pickle and be used to load the latest trained model??