bug-fix: requirements-change and api updating

environment/frontend_server/translator/views.py

@@ -20,7 +20,7 @@
 from .global_methods import *
 from .models import *
 
-with open("D:\\Tureco\\SimAIWorld\\environment\\frontend_server\\translator\\name.json", "r", encoding="utf-8") as f:
+with open("./translator/name.json", "r", encoding="utf-8") as f:
     js = f.read()
     names_mapping = json.loads(js)['persona_names_mapping']
     # print(names_mapping)

requirements.txt

@@ -1,13 +1,10 @@
-Django==2.2
-django_storages==1.14
+django_storages
 googletrans==4.0.0rc1
-gpt4all==1.0.12
+gpt4all
 litellm==0.1.738
-numpy==1.25.2
 openai==0.27.0
 python-dotenv==1.0.0
-Requests==2.31.0
-selenium==4.12.0
+selenium
 tqdm==4.62.3
 aiohttp==3.8.3
 aiosignal==1.3.1
@@ -29,17 +26,16 @@ exceptiongroup==1.1.0
 frozenlist==1.3.3
 gensim==3.8.0
 gunicorn==20.1.0
-h11==0.14.0
-idna==3.3
-importlib-metadata==4.8.2
+h11
+idna
+importlib-metadata
 jmespath==1.0.1
 joblib==1.1.0
 kiwisolver==1.3.1
 matplotlib==3.3.4
 multidict==6.0.4
 nltk==3.6.5
 numpy==1.19.5
-openai==0.27.0
 outcome==1.2.0
 packaging==23.0
 pandas==1.1.5
@@ -51,16 +47,14 @@ pyparsing==3.0.6
 PySocks==1.7.1
 python-dateutil==2.8.2
 pytz==2021.3
-regex==2021.11.10
-requests==2.26.0
+regex
+requests
 s3transfer==0.6.0
 scikit-learn==0.24.2
 scikit-posthocs==0.7.0
 scipy==1.5.4
 seaborn==0.12.2
-selenium==4.8.2
 six==1.16.0
-sklearn==0.0
 smart-open==5.2.1
 sniffio==1.3.0
 sortedcontainers==2.4.0
@@ -71,9 +65,9 @@ tqdm==4.62.3
 trio==0.22.0
 trio-websocket==0.9.2
 trueskill==0.4.5
-typing-extensions==4.0.0
-urllib3==1.26.7
+typing-extensions
+urllib3
 wsproto==1.2.0
 yarl==1.8.2
 yellowbrick==1.3.post1
-zipp==3.6.0
+zipp==3.6.0

reverie/backend_server/persona/prompt_template/gpt_structure_local.py

@@ -268,13 +268,15 @@ def get_embedding(text):
     text = text.replace("\n", " ")
     if not text:
         text = "this is blank"
+    # gpt4all的更新代码，污染了embedding model的下载路径，需要自行前往https://gpt4all.io/models/gguf/all-MiniLM-L6-v2-f16.gguf 下载到~/.cache/gpt4all/(或自定义model_path)
     embedder = Embed4All()
     embedding = embedder.embed(text)
     return embedding
 
 
 
 if __name__ == '__main__':
+    max_tokens, temperature = 1023, 0.7
     gpt_parameter = {"max_tokens": max_tokens,
                      "temperature": temperature, "top_p": 1, "stream": False,
                      "frequency_penalty": 0, "presence_penalty": 0,
@@ -283,7 +285,7 @@ def get_embedding(text):
     prompt_lib_file = "prompt_template/test_prompt_July5.txt"
     prompt = generate_prompt(curr_input, prompt_lib_file)
 
-    def __func_validate(gpt_response):
+    def __func_validate(gpt_response,prompt=None):
         if len(gpt_response.strip()) <= 1:
             return False
         if len(gpt_response.strip().split(" ")) > 1:

reverie/backend_server/reverie.py

@@ -82,7 +82,7 @@ def __init__(self,
         # time. This gets incremented by <sec_per_step> amount everytime the world
         # progresses (that is, everytime curr_env_file is recieved).
         self.curr_time = datetime.datetime.strptime(reverie_meta['curr_time'],
-                                                    "%B %d, %Y, 09:%M:%S")
+                                                    '%B %d, %Y, %H:%M:%S')
         # <sec_per_step> denotes the number of seconds in game time that each
         # step moves foward.
         self.sec_per_step = reverie_meta['sec_per_step']