Fixed import of environment variable
Browse files
app.py
CHANGED
@@ -1,3 +1,4 @@
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from typing import Dict, Optional, Union
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import chainlit as cl
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@@ -42,6 +43,13 @@ CONTEXT = """- Task: PoliGen specialises in creating high-quality and detailed c
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USER_PROXY_NAME = "User Proxy"
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REVIEWER = "Reviewer"
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WRITER = "Technical Writer"
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async def ask_helper(func, **kwargs):
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res = await func(**kwargs).send()
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@@ -121,15 +129,6 @@ class ChainlitUserProxyAgent(UserProxyAgent):
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)
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config_list = [
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{
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"model": "gpt-4-turbo-preview",
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},
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]
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@cl.action_callback("confirm_action")
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async def on_action(action: cl.Action):
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if action.value == "everything":
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@@ -150,15 +149,14 @@ async def on_action(action: cl.Action):
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@cl.on_chat_start
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async def start():
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#
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try:
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# config_list = config_list_from_json(env_or_file="OAI_CONFIG_LIST")
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llm_config = {"config_list": config_list, "api_key": OPENAI_API_KEY, "seed": 42, "request_timeout": 120, "retry_wait_time": 10}
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reviewer = ChainlitAssistantAgent(
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name="Reviewer", llm_config=llm_config,
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system_message="""Reviewer. Reviews the policy document, focuses on the structure and clarity of the content.
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@@ -187,9 +185,7 @@ Structures content with effective subheadings and bullet points to facilitate re
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cl.user_session.set(REVIEWER, reviewer)
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cl.user_session.set(WRITER, writer)
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msg = cl.Message(content=f"""Hi, this is the PoliGen agent team π€. Please specify a cybersecurity domain for us to write a policy about (e.g. Data Classification, Remote Access).""",
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disable_human_feedback=True,
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author="User_Proxy")
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await msg.send()
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except Exception as e:
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@@ -198,6 +194,7 @@ Structures content with effective subheadings and bullet points to facilitate re
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@cl.on_message
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async def run_conversation(message: cl.Message):
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#try:
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MESSAGE = message.content
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print("Task: ", MESSAGE)
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@@ -206,7 +203,7 @@ async def run_conversation(message: cl.Message):
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writer = cl.user_session.get(WRITER)
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groupchat = autogen.GroupChat(agents=[user_proxy, reviewer, writer], messages=[], max_round=10)
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manager = autogen.GroupChatManager(groupchat=groupchat)
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print("Initiated GC messages... \nGC messages length: ", len(groupchat.messages))
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import os
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from typing import Dict, Optional, Union
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import chainlit as cl
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USER_PROXY_NAME = "User Proxy"
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REVIEWER = "Reviewer"
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WRITER = "Technical Writer"
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# Config list for AutoGen
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config_list = [
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{
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"model": "gpt-4-turbo-preview",
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},
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]
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async def ask_helper(func, **kwargs):
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res = await func(**kwargs).send()
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)
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@cl.action_callback("confirm_action")
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async def on_action(action: cl.Action):
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if action.value == "everything":
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@cl.on_chat_start
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async def start():
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# Retrieve the 'env' dictionary from the user session
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env_variables = cl.user_session.get("env")
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# Set OPENAI_API_KEY environment variable
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os.environ["OPENAI_API_KEY"] = env_variables.get("OPENAI_API_KEY")
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try:
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llm_config = {"config_list": config_list, "seed": 42}
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reviewer = ChainlitAssistantAgent(
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name="Reviewer", llm_config=llm_config,
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system_message="""Reviewer. Reviews the policy document, focuses on the structure and clarity of the content.
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cl.user_session.set(REVIEWER, reviewer)
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cl.user_session.set(WRITER, writer)
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msg = cl.Message(content=f"""Hi, this is the PoliGen agent team π€. Please specify a cybersecurity domain for us to write a policy about (e.g. Data Classification, Remote Access).""", author="User_Proxy")
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await msg.send()
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except Exception as e:
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@cl.on_message
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async def run_conversation(message: cl.Message):
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llm_config = {"config_list": config_list, "seed": 42}
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#try:
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MESSAGE = message.content
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print("Task: ", MESSAGE)
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writer = cl.user_session.get(WRITER)
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groupchat = autogen.GroupChat(agents=[user_proxy, reviewer, writer], messages=[], max_round=10)
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manager = autogen.GroupChatManager(groupchat=groupchat, llm_config=llm_config)
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print("Initiated GC messages... \nGC messages length: ", len(groupchat.messages))
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