mirror of
https://github.com/wassname/Clover-Edition.git
synced 2026-09-09 11:13:26 +08:00
got cached version working
This commit is contained in:
+27
-5
@@ -7,6 +7,9 @@ from generator.web.web_generator import *
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import tensorflow as tf
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import textwrap
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CRED_FILE = "./AI-Adventure-2bb65e3a4e2f.json"
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prompt = "You enter a dungeon with your trusty sword and shield. You are searching for the evil necromancer who killed your family. You've heard that he resides at the bottom of the dungeon, guarded by legions of the undead. You enter the first door and see"
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# Set the key
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def console_print(str):
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@@ -15,8 +18,7 @@ def console_print(str):
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def play_unconstrained():
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generator = WebGenerator("./AI-Adventure-2bb65e3a4e2f.json")
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prompt = "You enter a dungeon with your trusty sword and shield. You are searching for the evil necromancer who killed your family. You've heard that he resides at the bottom of the dungeon, guarded by legions of the undead. You enter the first door and see"
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generator = WebGenerator(CRED_FILE)
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story_manager = UnconstrainedStoryManager(generator, prompt)
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console_print(str(story_manager.story))
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@@ -26,9 +28,9 @@ def play_unconstrained():
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result = story_manager.act(action)
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console_print(action + result)
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def play_constrained():
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generator = WebGenerator("./AI-Adventure-2bb65e3a4e2f.json")
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prompt = "You enter a dungeon with your trusty sword and shield. You are searching for the evil necromancer who killed your family. You've heard that he resides at the bottom of the dungeon, guarded by legions of the undead. You enter the first door and see"
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generator = WebGenerator(CRED_FILE)
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story_manager = ConstrainedStoryManager(generator, prompt)
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console_print(str(story_manager.story))
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@@ -47,8 +49,28 @@ def play_constrained():
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console_print(result)
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def play_cached():
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generator = WebGenerator(CRED_FILE)
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story_manager = CachedStoryManager(generator, 0, 0, CRED_FILE)
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console_print(str(story_manager.story))
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possible_actions = story_manager.get_possible_actions()
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while (True):
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console_print("\nOptions:")
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for i, action in enumerate(possible_actions):
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console_print(str(i) + ") " + action)
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result = None
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while(result == None):
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action_choice = input("Which action do you choose? ")
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print("\n")
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result, possible_actions = story_manager.act(action_choice)
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console_print(result)
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if __name__ == '__main__':
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play_constrained()
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play_cached()
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@@ -6,19 +6,25 @@ import json
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from flask import Flask, render_template, request, abort
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from story.story_manager import *
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from generator.web.web_generator import *
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from other.caching import *
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from other.cacher import *
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app = Flask(__name__)
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app.secret_key = '#d\xe0\xd1\xfb\xee\xa4\xbb\xd0\xf0/e)\xb5g\xdd<`\xc7\xa5\xb0-\xb8d0S'
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GOOGLE_CRED_LOCATION = "./AI-Adventure-2bb65e3a4e2f.json"
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# Initializes everything for a session
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def story_init(session, seed):
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pass
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# Routes to index
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@app.route('/')
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def root():
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seed = -1
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data = {'seed': seed}
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return render_template('index.html', data=data)
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# Starts an adventure with a specific seed
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@app.route('/<seed>')
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def rootseed(seed):
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if seed == "":
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@@ -29,104 +35,23 @@ def rootseed(seed):
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session["seed"] = seed
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return render_template('index.html', data=data)
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# Starts an adventure
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@app.route('/index.html')
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def index():
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data = {'seed': -1}
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return render_template('index.html', data=data)
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# Shows about. (Should also link to paper when published)
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@app.route('/about.html')
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def about():
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return render_template('about.html')
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# generator = WebGenerator("./AI-Adventure-2bb65e3a4e2f.json")
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# prompt = "You enter a dungeon with your trusty sword and shield. You are searching for the evil necromancer who killed your family. You've heard that he resides at the bottom of the dungeon, guarded by legions of the undead. You enter the first door and see"
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# story_manager = ConstrainedStoryManager(generator, prompt)
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#
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# console_print(str(story_manager.story))
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# possible_actions = story_manager.get_possible_actions()
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# while (True):
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# console_print("\nOptions:")
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# for i, action in enumerate(possible_actions):
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# console_print(str(i) + ") " + action)
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#
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# result = None
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# while(result == None):
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# action_choice = input("Which action do you choose? ")
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# print("\n")
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# result, possible_actions = story_manager.act(action_choice)
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#
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# console_print(result)
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def story_init(session, seed):
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session["seed"] = seed
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prompt_num = 0
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session["prompt_num"] = prompt_num
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session["generator"] = WebGenerator(GOOGLE_CRED_LOCATION)
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first_story = retrieve_from_cache(seed, prompt_num, [], "story")
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if prompt is None:
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prompt = prompts[prompt_num]
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response = generate_story_block(prompt, local=RUN_LOCAL)
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cache_file(seed, prompt_num, [], response, "story")
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session["story_manager"] = ConstrainedStoryManager(session["generator"], prompt)
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session["initialized"] = True
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@app.route('/generate', methods=['POST'])
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# Bread and butter of app, updates story and returns based on choice
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@app.route('/choose', methods=['POST'])
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def story_request():
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print("****Generating Story****")
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seed = request.form["seed"]
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prompt_num = int(request.form["prompt_num"])
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gen_actions = request.form["actions"]
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pass
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if "initialized" not in session:
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story_init(session, seed, prompt_num)
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print("Session Seed is ", session["seed"])
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if int(seed) < 0 or int(seed) > 100:
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abort(404)
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if gen_actions == "true":
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#prompt = request.form["prompt"]
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choices = json.loads(request.form["choices"])
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#print("Getting response for seed ", seed, " prompt_num ", prompt_num, " and choices ", choices)
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action_results = retrieve_from_cache(seed, prompt_num, choices, "choices")
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if action_results is not None:
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response = action_results
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else:
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last_action_result = request.form["last_action_result"]
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prompt = continuing_prompts[prompt_num] + last_action_result
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#print("\n\nAction prompt is \n ", prompt)
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action_results = [generate_action_result(prompt, phrase, local=RUN_LOCAL) for phrase in phrases]
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response = json.dumps(action_results)
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cache_file(seed, prompt_num, choices, response, "choices")
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else:
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result = retrieve_from_cache(seed, prompt_num, [], "story")
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if result is not None:
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response = result
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else:
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prompt = prompts[prompt_num]
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response = generate_story_block(prompt, local=RUN_LOCAL)
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cache_file(seed, prompt_num, [], response, "story")
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return response
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8080)
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+264
@@ -0,0 +1,264 @@
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# Copyright 2018 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# [START gae_python37_render_template]
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import datetime
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from flask import g
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import os
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import googleapiclient.discovery
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from utils import *
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from google.cloud import storage
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from google import cloud
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import json
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from flask import Flask, render_template, request, abort
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from flask import Response
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import requests
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import pdb
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import sys
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import gpt2.src.encoder as encoder
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# App Info
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phrases = [" You attack", " You use", " You tell", " You go"]
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prompts = [
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"You enter a dungeon with your trusty sword and shield. You are searching for the evil necromancer who killed your family. You've heard that he resides at the bottom of the dungeon, guarded by legions of the undead. You enter the first door and see"]
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continuing_prompts = [
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"You are in a dungeon with your sword and shield. You are on a quest to defeat the necromancer. This dungeon is full of zombie and skeletons."]
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app = Flask(__name__)
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# Encoder Info
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encoder_path = 'gpt2/models/117M'
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enc = encoder.get_encoder(encoder_path)
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# Model/Cache Info
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project = "ai-adventure"
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model = "generator_v1"
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version = "version2"
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os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = "./AI-Adventure-2bb65e3a4e2f.json"
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storage_client = storage.Client()
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bucket = storage_client.get_bucket("dungeon-cache")
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def predict(context_tokens):
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service = googleapiclient.discovery.build('ml', 'v1')
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name = 'projects/{}/models/{}'.format(project, model)
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instance = context_tokens
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if version is not None:
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name += '/versions/{}'.format(version)
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response = service.projects().predict(
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name=name,
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body={'instances': [{'context': instance}]}
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).execute()
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if 'error' in response:
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raise RuntimeError(response['error'])
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return response['predictions']
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def generate(prompt):
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while (True):
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context_tokens = enc.encode(prompt)
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try:
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pred = predict(context_tokens)
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pred = pred[0]["output"][len(context_tokens):]
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output = enc.decode(pred)
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return output
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except:
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print("generate request failed, trying again")
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continue
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def generate_story_block(prompt):
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block = generate(prompt)
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block = cut_trailing_sentence(block)
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block = story_replace(block)
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return block
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def generate_action_result(prompt, phrase):
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action = phrase + generate(prompt + phrase)
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action_result = cut_trailing_sentence(action)
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action_result = story_replace(action_result)
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action = first_sentence(action)
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return action, action_result
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@app.route('/')
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def root():
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seed = -1
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data = {'seed': seed}
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return render_template('index.html', data=data)
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@app.route('/<seed>')
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def rootseed(seed):
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if seed == "":
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seed = -1
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else:
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seed = int(seed)
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data = {'seed': seed}
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return render_template('index.html', data=data)
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@app.route('/index.html')
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def index():
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data = {'seed': -1}
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return render_template('index.html', data=data)
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@app.route('/about.html')
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def about():
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return render_template('about.html')
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def cache_file(seed, prompt_num, choices, response, tag):
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blob_file_name = "prompt" + str(prompt_num) + "/seed" + str(seed) + "/" + tag
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for action in choices:
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blob_file_name = blob_file_name + str(action)
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blob = bucket.blob(blob_file_name)
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blob.upload_from_string(response)
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print("File ", blob_file_name, " cached")
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def retrieve_from_cache(seed, prompt_num, choices, tag):
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blob_file_name = "prompt" + str(prompt_num) + "/seed" + str(seed) + "/" + tag
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for action in choices:
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blob_file_name = blob_file_name + str(action)
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blob = bucket.blob(blob_file_name)
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if blob.exists(storage_client):
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result = blob.download_as_string().decode("utf-8")
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print(blob_file_name, " found in cache")
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else:
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result = None
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print(blob_file_name, " not found in cache")
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return result
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@app.route('/generate', methods=['POST'])
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def story_request():
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print("****Generating Story****")
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seed = request.form["seed"]
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prompt_num = int(request.form["prompt_num"])
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gen_actions = request.form["actions"]
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if int(seed) < 0 or int(seed) > 100:
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print("Invalid seed: " + seed)
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abort(404)
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if gen_actions == "true":
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# prompt = request.form["prompt"]
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choices = json.loads(request.form["choices"])
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print("Getting response for seed ", seed, " prompt_num ", prompt_num, " and choices ", choices)
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action_results = retrieve_from_cache(seed, prompt_num, choices, "choices")
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if action_results is not None:
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response = action_results
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else:
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last_action_result = request.form["last_action_result"]
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prompt = continuing_prompts[prompt_num] + last_action_result
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print("\n\nAction prompt is \n ", prompt)
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action_results = [generate_action_result(prompt, phrase) for phrase in phrases]
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response = json.dumps(action_results)
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cache_file(seed, prompt_num, choices, response, "choices")
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else:
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print("Getting response for seed ", seed, " prompt_num ", prompt_num)
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result = retrieve_from_cache(seed, prompt_num, [], "story")
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if result is not None:
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response = result
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else:
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prompt = prompts[prompt_num]
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response = generate_story_block(prompt)
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cache_file(seed, prompt_num, [], response, "story")
|
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|
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print("\nGenerated response is: \n", response)
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print("")
|
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return response
|
||||
|
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|
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def generate_cache():
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start_seed = int(sys.argv[1])
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end_seed = int(sys.argv[2])
|
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|
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# Generate story sections
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prompt_num = 0
|
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action_queue = []
|
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prompt = prompts[prompt_num]
|
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for seed in range(start_seed, end_seed):
|
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result = retrieve_from_cache(seed, prompt_num, [], "story")
|
||||
if result is not None:
|
||||
response = result
|
||||
else:
|
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prompt = prompts[prompt_num]
|
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# print("\n Story prompt is ", prompt)
|
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response = generate_story_block(prompt)
|
||||
# print("\n Story response is ", response)
|
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cache_file(seed, prompt_num, [], response, "story")
|
||||
|
||||
action_queue.append([seed, 0, [], response])
|
||||
|
||||
while (True):
|
||||
|
||||
next_gen = action_queue.pop(0)
|
||||
seed = next_gen[0]
|
||||
prompt_num = next_gen[1]
|
||||
choices = next_gen[2]
|
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last_action_result = next_gen[3]
|
||||
|
||||
action_results = retrieve_from_cache(seed, prompt_num, choices, "choices")
|
||||
|
||||
if action_results is not None:
|
||||
response = action_results
|
||||
|
||||
else:
|
||||
if len(choices) is 0:
|
||||
prompt = prompts[prompt_num] + last_action_result
|
||||
else:
|
||||
prompt = continuing_prompts[prompt_num] + last_action_result
|
||||
# print("\n\n Action prompt is \n ", prompt)
|
||||
action_results = [generate_action_result(prompt, phrase) for phrase in phrases]
|
||||
response = json.dumps(action_results)
|
||||
|
||||
# print("\n\n Action
|
||||
cache_file(seed, prompt_num, choices, response, "choices")
|
||||
|
||||
un_jsoned = json.loads(response)
|
||||
for j in range(4):
|
||||
new_choices = choices[:]
|
||||
new_choices.append(j)
|
||||
action_queue.append([seed, 0, new_choices, un_jsoned[j][1]])
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
if (len(sys.argv) > 1):
|
||||
generate_cache()
|
||||
else:
|
||||
app.run(host='0.0.0.0', port=8080)
|
||||
|
||||
# [START gae_python37_render_template]
|
||||
+34
-25
@@ -1,35 +1,44 @@
|
||||
from google.cloud import storage
|
||||
|
||||
# Model/Cache Info
|
||||
storage_client = storage.Client()
|
||||
bucket = storage_client.get_bucket("dungeon-cache")
|
||||
import os
|
||||
|
||||
|
||||
def cache_file(seed, prompt_num, choices, response, tag):
|
||||
class cacher():
|
||||
|
||||
blob_file_name = "prompt" + str(prompt_num) + "/seed" + str(seed) + "/" + tag
|
||||
for action in choices:
|
||||
blob_file_name = blob_file_name + str(action)
|
||||
blob = bucket.blob(blob_file_name)
|
||||
def __init__(self, credentials_file):
|
||||
# Model/Cache Info
|
||||
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credentials_file
|
||||
self.storage_client = storage.Client()
|
||||
self.bucket = self.storage_client.get_bucket("dungeon-cache")
|
||||
pass
|
||||
|
||||
blob.upload_from_string(response)
|
||||
def cache_file(self, seed, prompt_num, choices, response, tag, print_result=False):
|
||||
|
||||
print("File ", blob_file_name, " cached")
|
||||
blob_file_name = "prompt" + str(prompt_num) + "/seed" + str(seed) + "/" + tag
|
||||
for action in choices:
|
||||
blob_file_name = blob_file_name + str(action)
|
||||
blob = self.bucket.blob(blob_file_name)
|
||||
|
||||
blob.upload_from_string(response)
|
||||
|
||||
if print_result: print("File ", blob_file_name, " cached")
|
||||
|
||||
def retrieve_from_cache(self, seed, prompt_num, choices, tag, print_result=False):
|
||||
blob_file_name = "prompt" + str(prompt_num) + "/seed" + str(seed) + "/" + tag
|
||||
|
||||
for action in choices:
|
||||
blob_file_name = blob_file_name + str(action)
|
||||
|
||||
blob = self.bucket.blob(blob_file_name)
|
||||
|
||||
if blob.exists(self.storage_client):
|
||||
result = blob.download_as_string().decode("utf-8")
|
||||
if print_result: print(blob_file_name, " found in cache")
|
||||
else:
|
||||
result = None
|
||||
if print_result: print(blob_file_name, " not found in cache")
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def retrieve_from_cache(seed, prompt_num, choices, tag):
|
||||
blob_file_name = "prompt" + str(prompt_num) + "/seed" + str(seed) + "/" + tag
|
||||
|
||||
for action in choices:
|
||||
blob_file_name = blob_file_name + str(action)
|
||||
|
||||
blob = bucket.blob(blob_file_name)
|
||||
|
||||
if blob.exists(storage_client):
|
||||
result = blob.download_as_string().decode("utf-8")
|
||||
print(blob_file_name, " found in cache")
|
||||
else:
|
||||
result = None
|
||||
print(blob_file_name, " not found in cache")
|
||||
|
||||
return result
|
||||
|
||||
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+57
-42
@@ -1,5 +1,9 @@
|
||||
from story.utils import *
|
||||
from other.cacher import *
|
||||
import json
|
||||
|
||||
prompts = [
|
||||
"You enter a dungeon with your trusty sword and shield. You are searching for the evil necromancer who killed your family. You've heard that he resides at the bottom of the dungeon, guarded by legions of the undead. You enter the first door and see"]
|
||||
|
||||
class Story():
|
||||
|
||||
@@ -32,27 +36,36 @@ class Story():
|
||||
return "".join(story_list)
|
||||
|
||||
|
||||
class UnconstrainedStoryManager():
|
||||
class StoryManager():
|
||||
|
||||
def __init__(self, generator, story_prompt):
|
||||
self.generator = generator
|
||||
self.story_prompt = story_prompt
|
||||
self.action_phrases = ["You attack", "You tell", "You use", "You go"]
|
||||
|
||||
block = self.generator.generate(story_prompt)
|
||||
def init_story(self):
|
||||
block = self.generator.generate(self.story_prompt)
|
||||
block = cut_trailing_sentence(block)
|
||||
block = story_replace(block)
|
||||
story_start = story_prompt + block
|
||||
|
||||
story_start = self.story_prompt + block
|
||||
self.story = Story(story_start)
|
||||
|
||||
def act(self, action_choice):
|
||||
|
||||
result = self.generate_result(action_choice)
|
||||
self.story.add_to_story(action_choice, result)
|
||||
return result
|
||||
return story_start
|
||||
|
||||
def story_context(self):
|
||||
return self.story.latest_result()
|
||||
|
||||
|
||||
class UnconstrainedStoryManager(StoryManager):
|
||||
|
||||
def __init__(self, generator, story_prompt):
|
||||
super().__init__(generator, story_prompt)
|
||||
self.init_story()
|
||||
|
||||
def act(self, action_choice):
|
||||
result = self.generate_result(action_choice)
|
||||
self.story.add_to_story(action_choice, result)
|
||||
return result
|
||||
|
||||
def generate_result(self, action):
|
||||
block = self.generator.generate(self.story_context() + action)
|
||||
block = cut_trailing_sentence(block)
|
||||
@@ -60,16 +73,12 @@ class UnconstrainedStoryManager():
|
||||
return block
|
||||
|
||||
|
||||
class ConstrainedStoryManager():
|
||||
class ConstrainedStoryManager(StoryManager):
|
||||
|
||||
def __init__(self, generator, story_prompt):
|
||||
self.generator = generator
|
||||
self.action_phrases = ["You attack", "You tell", "You use", "You go"]
|
||||
block = self.generator.generate(story_prompt)
|
||||
block = cut_trailing_sentence(block)
|
||||
block = story_replace(block)
|
||||
story_start = story_prompt + block
|
||||
self.story = Story(story_start)
|
||||
super().__init__(generator, story_prompt)
|
||||
|
||||
self.init_story()
|
||||
self.possible_action_results = None
|
||||
|
||||
def get_possible_actions(self):
|
||||
@@ -95,9 +104,6 @@ class ConstrainedStoryManager():
|
||||
self.possible_action_results = self.get_action_results()
|
||||
return result, self.get_possible_actions()
|
||||
|
||||
def story_context(self):
|
||||
return self.story.latest_result()
|
||||
|
||||
def get_action_results(self):
|
||||
return [self.generate_action_result(self.story_context(), phrase) for phrase in self.action_phrases]
|
||||
|
||||
@@ -112,17 +118,26 @@ class ConstrainedStoryManager():
|
||||
return action, result
|
||||
|
||||
|
||||
class CachedStoryManager():
|
||||
class CachedStoryManager(ConstrainedStoryManager):
|
||||
|
||||
def __init__(self, generator, prompt_num, seed):
|
||||
# self.generator = generator
|
||||
# self.action_phrases = ["You attack", "You tell", "You use", "You go"]
|
||||
# block = self.generator.generate(story_prompt)
|
||||
# block = cut_trailing_sentence(block)
|
||||
# block = story_replace(block)
|
||||
# story_start = story_prompt + block
|
||||
# self.story = Story(story_start)
|
||||
# self.possible_action_results = None
|
||||
def __init__(self, generator, prompt_num, seed, credentials_file):
|
||||
self.cacher = cacher(credentials_file)
|
||||
prompt = prompts[prompt_num]
|
||||
super().__init__(generator, prompt)
|
||||
self.seed = seed
|
||||
self.prompt_num = prompt_num
|
||||
self.choices = []
|
||||
|
||||
result = self.cacher.retrieve_from_cache(seed, prompt_num, [], "story")
|
||||
if result is not None:
|
||||
story_start = result
|
||||
self.story = Story(story_start)
|
||||
else:
|
||||
|
||||
story_start = self.init_story()
|
||||
self.cacher.cache_file(seed, prompt_num, [], story_start, "story")
|
||||
|
||||
self.possible_action_results = None
|
||||
|
||||
def get_possible_actions(self):
|
||||
if self.possible_action_results is None:
|
||||
@@ -142,23 +157,23 @@ class CachedStoryManager():
|
||||
print("Error invalid choice.")
|
||||
return None, None
|
||||
|
||||
self.choices.append(action_choice)
|
||||
action, result = self.possible_action_results[action_choice]
|
||||
self.story.add_to_story(action, result)
|
||||
self.possible_action_results = self.get_action_results()
|
||||
return result, self.get_possible_actions()
|
||||
|
||||
def story_context(self):
|
||||
return self.story.latest_result()
|
||||
|
||||
def get_action_results(self):
|
||||
return [self.generate_action_result(self.story_context(), phrase) for phrase in self.action_phrases]
|
||||
|
||||
def generate_action_result(self, prompt, phrase):
|
||||
action = phrase + self.generator.generate(prompt + phrase)
|
||||
action_result = cut_trailing_sentence(action)
|
||||
response = self.cacher.retrieve_from_cache(self.seed, self.prompt_num, self.choices, "choices")
|
||||
|
||||
if response is not None:
|
||||
action_results = json.loads(response)
|
||||
else:
|
||||
action_results = super().get_action_results()
|
||||
response = json.dumps(action_results)
|
||||
self.cacher.cache_file(self.seed, self.prompt_num, self.choices, response, "choices")
|
||||
|
||||
return action_results
|
||||
|
||||
action, result = split_first_sentence(action_result)
|
||||
result = story_replace(action_result)
|
||||
action = action_replace(action)
|
||||
|
||||
return action, result
|
||||
Reference in New Issue
Block a user