Create app_bak.py
Browse files- app_bak.py +109 -0
app_bak.py
ADDED
@@ -0,0 +1,109 @@
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import openai
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import gradio as gr
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import os
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import logging
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import json
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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openai.api_key = os.environ['key']
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initMsg = os.environ['init']
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roleAns = os.environ['roleAns']
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classAsk = os.environ['classAsk']
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classAns = os.environ['classAns']
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defaultMsg = os.environ['defaultMsg']
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mod = 3;
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def localRace(race):
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race = race
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return race
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def localClass(cls):
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cls = cls
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return cls
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def trimMessages(messages):
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# Assuming messages is an array of objects with "role" and "content" properties
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content = {}
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for message in messages:
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if message["role"] == "assistant":
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if "Current Status:" in message["content"]:
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content = message["content"]
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start_index = message["content"].index("Current Status:") + len("Current Status:")
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end_index = message["content"].index("Wielding:")
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new_content = message["content"][:start_index] + message["content"][end_index:]
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message["content"] = new_content
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if content != {}:
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messages.append({"role": "assistant", "content": content})
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return messages
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def getChooseRole(msg):
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start_index = msg.index("As a") + len("As a")
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if start_index >= 0:
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end_index = msg.index(",")
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str = msg[start_index:] + msg[:end_index]
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str = str.strip()
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if str.lower() == "dm":
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return ""
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else:
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return str
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else:
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return ""
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def getChooseClass(msg):
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full = getChooseRole(msg)
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if full != "":
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start_index = full.index(" ") + len(" ")
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end_index = msg.index(",")
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str = full[start_index:] + full[:end_index]
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str = str.strip()
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return str
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else:
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return ""
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def chatbot(input, localvar):
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#messages = messages or [{"role": "system", "content": initMsg}]
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localvar = localvar or {"messages": [{"role": "system", "content": initMsg}], "race": "", "class": ""}
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messages = localvar['messages']
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#if len(messages) == 1:
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#memory = trimMessages(messages)
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#logging.info("put memory:"+printMessages(memory))
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#chat = openai.ChatCompletion.create(
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# model="gpt-3.5-turbo", messages=memory,
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# max_tokens=1048,n=1,temperature=0.5,
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#)
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#logging.info("put memory return:"+chat.choices[0].message.content)
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if input:
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messages.append({"role": "user", "content": input})
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chat = openai.ChatCompletion.create(
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model="gpt-3.5-turbo", messages=messages[-2:],
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max_tokens=2048,n=1,temperature=0.5,
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)
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reply = chat.choices[0].message.content
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logging.info("AI Reply:"+reply)
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ans = ""
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if len(messages) == 2:
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localvar['race'] = localRace(getChooseRole(reply))
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ans = "I choose "+ localvar['race'] +" as my race." + classAsk
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logging.info("ChooseRole:"+ans)
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if len(messages) == 4:
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localvar['class'] = getChooseClass(reply)
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ans = "My Race is "+ localvar['race'] +",I choose "+ localvar['class'] +" as my class." + classAns
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logging.info("ChooseClass:"+ans)
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messages.append({"role": "assistant", "content": ans})
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localvar['messages'] = messages
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return reply, printMessages(messages), localvar
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def printMessages(messages):
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delimiter = '\n'
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msg_string = delimiter.join([f"{obj['role']}:{obj['content']}" for obj in messages])
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logging.info("messages:"+msg_string)
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return msg_string
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app = gr.Interface(fn=chatbot, inputs=[gr.Textbox(lines=7, label="You ask and answer questions below"), "state"],
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outputs=[gr.Textbox(label="DND Game Reply", placeholder=roleAns), gr.Textbox(label="History"), "state"], title="DND Game",#, gr.Textbox(label="History"),
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description="DND Game",theme="compact")
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app.launch(share=False)
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