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vacayBot / trip_agents.py
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from crewai import Agent
import re
import streamlit as st
from langchain_community.llms import OpenAI
from tools.browser_tools import BrowserTools
from tools.calculator_tools import CalculatorTools
from tools.search_tools import SearchTools
## My initial parsing code using callback handler to print to app
# def streamlit_callback(step_output):
# # This function will be called after each step of the agent's execution
# st.markdown("---")
# for step in step_output:
# if isinstance(step, tuple) and len(step) == 2:
# action, observation = step
# if isinstance(action, dict) and "tool" in action and "tool_input" in action and "log" in action:
# st.markdown(f"# Action")
# st.markdown(f"**Tool:** {action['tool']}")
# st.markdown(f"**Tool Input** {action['tool_input']}")
# st.markdown(f"**Log:** {action['log']}")
# st.markdown(f"**Action:** {action['Action']}")
# st.markdown(
# f"**Action Input:** ```json\n{action['tool_input']}\n```")
# elif isinstance(action, str):
# st.markdown(f"**Action:** {action}")
# else:
# st.markdown(f"**Action:** {str(action)}")
# st.markdown(f"**Observation**")
# if isinstance(observation, str):
# observation_lines = observation.split('\n')
# for line in observation_lines:
# if line.startswith('Title: '):
# st.markdown(f"**Title:** {line[7:]}")
# elif line.startswith('Link: '):
# st.markdown(f"**Link:** {line[6:]}")
# elif line.startswith('Snippet: '):
# st.markdown(f"**Snippet:** {line[9:]}")
# elif line.startswith('-'):
# st.markdown(line)
# else:
# st.markdown(line)
# else:
# st.markdown(str(observation))
# else:
# st.markdown(step)
class TripAgents():
def city_selection_agent(self):
return Agent(
role='City Selection Expert',
goal='Select the best city based on weather, season, and prices',
backstory='An expert in analyzing travel data to pick ideal destinations',
tools=[
SearchTools.search_internet,
BrowserTools.scrape_and_summarize_website,
],
verbose=True,
# step_callback=streamlit_callback,
)
def local_expert(self):
return Agent(
role='Local Expert at this city',
goal='Provide the BEST insights about the selected city',
backstory="""A knowledgeable local guide with extensive information
about the city, it's attractions and customs""",
tools=[
SearchTools.search_internet,
BrowserTools.scrape_and_summarize_website,
],
verbose=True,
# step_callback=streamlit_callback,
)
def travel_concierge(self):
return Agent(
role='Amazing Travel Concierge',
goal="""Create the most amazing travel itineraries with budget and
packing suggestions for the city""",
backstory="""Specialist in travel planning and logistics with
decades of experience""",
tools=[
SearchTools.search_internet,
BrowserTools.scrape_and_summarize_website,
CalculatorTools.calculate,
],
verbose=True,
# step_callback=streamlit_callback,
)
###########################################################################################
# Print agent process to Streamlit app container #
# This portion of the code is adapted from @AbubakrChan; thank you! #
# https://github.com/AbubakrChan/crewai-UI-business-product-launch/blob/main/main.py#L210 #
###########################################################################################
class StreamToExpander:
def __init__(self, expander):
self.expander = expander
self.buffer = []
self.colors = ['red', 'green', 'blue', 'orange'] # Define a list of colors
self.color_index = 0 # Initialize color index
def write(self, data):
# Filter out ANSI escape codes using a regular expression
cleaned_data = re.sub(r'\x1B\[[0-9;]*[mK]', '', data)
# Check if the data contains 'task' information
task_match_object = re.search(r'\"task\"\s*:\s*\"(.*?)\"', cleaned_data, re.IGNORECASE)
task_match_input = re.search(r'task\s*:\s*([^\n]*)', cleaned_data, re.IGNORECASE)
task_value = None
if task_match_object:
task_value = task_match_object.group(1)
elif task_match_input:
task_value = task_match_input.group(1).strip()
if task_value:
st.toast(":robot_face: " + task_value)
# Check if the text contains the specified phrase and apply color
if "Entering new CrewAgentExecutor chain" in cleaned_data:
# Apply different color and switch color index
self.color_index = (self.color_index + 1) % len(self.colors) # Increment color index and wrap around if necessary
cleaned_data = cleaned_data.replace("Entering new CrewAgentExecutor chain", f":{self.colors[self.color_index]}[Entering new CrewAgentExecutor chain]")
if "City Selection Expert" in cleaned_data:
# Apply different color
cleaned_data = cleaned_data.replace("City Selection Expert", f":{self.colors[self.color_index]}[City Selection Expert]")
if "Local Expert at this city" in cleaned_data:
cleaned_data = cleaned_data.replace("Local Expert at this city", f":{self.colors[self.color_index]}[Local Expert at this city]")
if "Amazing Travel Concierge" in cleaned_data:
cleaned_data = cleaned_data.replace("Amazing Travel Concierge", f":{self.colors[self.color_index]}[Amazing Travel Concierge]")
if "Finished chain." in cleaned_data:
cleaned_data = cleaned_data.replace("Finished chain.", f":{self.colors[self.color_index]}[Finished chain.]")
self.buffer.append(cleaned_data)
if "\n" in data:
self.expander.markdown(''.join(self.buffer), unsafe_allow_html=True)
self.buffer = []