kyusonglee/basic_nlp repository overview

POST http://cm-0.tepper.cmu.edu:6000/v1/embedding
Header={ authorization:convmind, Content-Type:application/json}
body={"sentences": ["This framework generates embeddings for each input sentence"]}

POST http://cm-0.tepper.cmu.edu:6000/v1/base64_embedding
Header={ authorization:convmind, Content-Type:application/json}
body={"sentences": ["This framework generates embeddings for each input sentence"]}

import base64
import numpy as np

dfloat32 = np.dtype('>f4')

def decode_float_list(base64_string):
   bytes = base64.b64decode(base64_string)
   return np.frombuffer(bytes, dtype=dfloat32).tolist()

def encode_array(arr):
   base64_str = base64.b64encode(np.array(arr).astype(dfloat32)).decode("utf-8")
   return base64_str

{"results":["Bc/V................"]}

POST http://cm-0.tepper.cmu.edu:6000/v1/similarity_search
Header={ authorization:convmind, Content-Type:application/json}
body={"corpus":["A man is eating a food.",
          "A man is eating a piece of bread.",
          "A man is eating pasta.",
          "The girl is carrying a baby.",
          "The baby is carried by the woman",
          "A man is riding a horse.",
          "A man is riding a white horse on an enclosed ground.",
          "A monkey is playing drums.",
          "Someone in a gorilla costume is playing a set of drums.",
          "A cheetah is running behind its prey.",
          "A cheetah chases prey on across a field."
          ],
	"queries":["A man is eating pasta.", "Someone in a gorilla costume is playing a set of drums.", "A cheetah chases prey on across a field."]
}