spitfire1970/chess_player_similarity

• this inference endpoint has three sub endpoints defined by the dictionary in the class constructor.
• all requests sent should be of the form {"inputs": data} where the data is another JSON/dictionary/js object.
• the data must be of the form {"num_endpoint": int} where int is:
      0 (for testing endpoint)
      1 for creating user
      2 for the model's move
• to create user embeddings, specify additional fields in data:
      "username" : chess.com username
      "pgn_content": a sinlge pgn consisting of multiple games played by the user
      "games_per_player": specify how many games in the pgn file
• to get an ai_move, specify additional fields in data:
      "pgn_string" : pgn of game so far
      "color": "white" if model is playing with white pieces else "black"
      "player_centroid": player_centroid as python list generated by endpoint 1
• the pytorch model definitions are in the encoder folder, and the model weights are in the *.pt file(s).