Spaces:
Running
Running
Initial v0.1 version of the app
Browse files- app.py +27 -0
- config/agents.yaml +23 -0
- config/tasks.yaml +51 -0
- crew.py +118 -0
- requirements.txt +2 -0
app.py
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#!/usr/bin/env python
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import sys
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import gradio as gr
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from crew import SurpriseTravelCrew
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def run(origin, destination, age, trip_duration):
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# Replace with your inputs, it will automatically interpolate any tasks and agents information
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inputs = {
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'origin': origin,
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'destination': destination,
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'age': age,
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'trip_duration': trip_duration
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}
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result = SurpriseTravelCrew().crew().kickoff(inputs=inputs)
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return (result)
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demo = gr.Interface(
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title="Plan your itinerary with the help of AI",
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description="Use this app to create a detailed itinerary on how to explore a new place. Itinerary is customized to your taste",
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fn=run,
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inputs=["text", "text", gr.Slider(value=30, minimum=15, maximum=90, step=5),
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gr.Slider(value=5, minimum=1, maximum=14, step=1)],
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outputs=["text"],
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)
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demo.launch(share=True)
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config/agents.yaml
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personalized_activity_planner:
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role: >
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Activity Planner
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goal: >
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Research and find cool things to do at the destination, including activities and events that match the traveler's interests and age group. Create detailed notes on the activity or event.
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backstory: >
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You are skilled at creating personalized itineraries that cater to the specific preferences and demographics of travelers.
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restaurant_scout:
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role: >
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Restaurant Scout
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goal: >
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Find highly-rated restaurants and dining experiences including off-the-beat options at the destination, and recommend scenic locations and fun activities
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backstory: >
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As a food lover, you know the best spots in town for a delightful culinary experience. You also have a knack for finding picturesque and entertaining locations.
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itinerary_compiler:
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role: >
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Itinerary Compiler
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goal: >
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Compile all researched information into a comprehensive day-by-day itinerary, ensuring the integration of flights and hotel information
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backstory: >
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With an eye for detail, you organize all the information into a coherent and enjoyable travel plan.
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config/tasks.yaml
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personalized_activity_planning_task:
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description: >
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Research and find cool things to do at {destination}.
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Focus on activities and events that match the traveler's interests and age group.
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Utilize internet search tools and recommendation engines to gather the information.
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Traveler's information:
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- origin: {origin}
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- destination: {destination}
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- age of the traveler: {age}
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- how long is the trip: {trip_duration}
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expected_output: >
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A list of recommended activities and events for each day of the trip.
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Each entry should include the activity name, location, a brief description, and why it's suitable for the traveler.
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And potential reviews and ratings of the activities.
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restaurant_scenic_location_scout_task:
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description: >
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Find highly-rated restaurants and dining experiences at {destination}.
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Recommend scenic locations and fun activities that align with the traveler's preferences.
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Use internet search tools, restaurant review sites, and travel guides.
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Make sure to find a variety of options to suit different tastes and budgets, and ratings for them.
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Traveler's information:
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- origin: {origin}
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- destination: {destination}
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- age of the traveler: {age}
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- how long is the trip: {trip_duration}
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expected_output: >
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A list of recommended restaurants, scenic locations, and fun activities for each day of the trip.
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Each entry should include the name, location (address), type of cuisine or activity, and a brief description and ratings.
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itinerary_compilation_task:
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description: >
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Compile all researched information into a comprehensive day-by-day itinerary for the trip to {destination}.
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Ensure the itinerary integrates flights, hotel information, and all planned activities and dining experiences.
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Use text formatting and document creation tools to organize the information.
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expected_output: >
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A detailed itinerary document, the itinerary should include a day-by-day
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plan with activities, restaurants, and scenic locations. A day can contain multiple activities. In such a case a recommened mode of transport should be provided to help move from one activity location to another.
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crew.py
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from crewai import Agent, Crew, Process, Task, LLM
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from crewai.project import CrewBase, agent, crew, task
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# Uncomment the following line to use an example of a custom tool
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# from surprise_travel.tools.custom_tool import MyCustomTool
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# Check our tools documentation for more information on how to use them
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from crewai_tools import SerperDevTool, ScrapeWebsiteTool
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#from pydantic import BaseModel, Field
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from typing import List, Optional
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import os
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os.environ["OPENAI_API_KEY"] = "aGlhbWl0YWJoYV9fZ21haWwuY29tOnhvbnhGMmh2MEU="
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os.environ["OPENAI_API_BASE"] = "https://api.sambanova.ai/v1"
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os.environ["OPENAI_MODEL_NAME"] = "sambanova/Meta-Llama-3.1-70B-Instruct"
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llm = LLM(model="sambanova/Meta-Llama-3.1-70B-Instruct")
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"""
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class Activity(BaseModel):
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name: str = Field(..., description="Name of the activity")
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location: str = Field(..., description="Location of the activity")
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description: str = Field(..., description="Description of the activity")
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date: str = Field(..., description="Date of the activity")
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cousine: str = Field(..., description="Cousine of the restaurant")
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why_its_suitable: str = Field(..., description="Why it's suitable for the traveler")
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reviews: Optional[List[str]] = Field(..., description="List of reviews")
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rating: Optional[float] = Field(..., description="Rating of the activity")
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class DayPlan(BaseModel):
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date: str = Field(..., description="Date of the day")
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activities: List[Activity] = Field(..., description="List of activities")
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restaurants: List[str] = Field(..., description="List of restaurants")
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flight: Optional[str] = Field(None, description="Flight information")
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class Itinerary(BaseModel):
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name: str = Field(..., description="Name of the itinerary, something funny")
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day_plans: List[DayPlan] = Field(..., description="List of day plans")
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hotel: str = Field(..., description="Hotel information")
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"""
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@CrewBase
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class SurpriseTravelCrew():
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"""SurpriseTravel crew"""
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agents_config = 'config/agents.yaml'
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tasks_config = 'config/tasks.yaml'
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@agent
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def personalized_activity_planner(self) -> Agent:
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return Agent(
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config=self.agents_config['personalized_activity_planner'],
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llm=llm,
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max_iter=1,
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tools=[SerperDevTool(), ScrapeWebsiteTool()], # Example of custom tool, loaded at the beginning of file
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verbose=True,
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allow_delegation=False,
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)
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@agent
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def restaurant_scout(self) -> Agent:
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return Agent(
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config=self.agents_config['restaurant_scout'],
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llm=llm,
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max_iter=1,
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tools=[SerperDevTool(), ScrapeWebsiteTool()],
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verbose=True,
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allow_delegation=False,
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)
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@agent
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def itinerary_compiler(self) -> Agent:
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return Agent(
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config=self.agents_config['itinerary_compiler'],
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llm=llm,
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max_iter=1,
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tools=[SerperDevTool()],
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verbose=True,
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allow_delegation=False,
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)
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@task
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def personalized_activity_planning_task(self) -> Task:
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return Task(
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config=self.tasks_config['personalized_activity_planning_task'],
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llm=llm,
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max_iter=1,
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agent=self.personalized_activity_planner()
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)
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@task
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def restaurant_scenic_location_scout_task(self) -> Task:
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return Task(
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config=self.tasks_config['restaurant_scenic_location_scout_task'],
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llm=llm,
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max_iter=1,
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agent=self.restaurant_scout()
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)
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@task
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def itinerary_compilation_task(self) -> Task:
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return Task(
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config=self.tasks_config['itinerary_compilation_task'],
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llm=llm,
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max_iter=1,
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agent=self.itinerary_compiler(),
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# output_json=Itinerary
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)
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@crew
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def crew(self) -> Crew:
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"""Creates the SurpriseTravel crew"""
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return Crew(
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agents=self.agents, # Automatically created by the @agent decorator
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tasks=self.tasks, # Automatically created by the @task decorator
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process=Process.sequential,
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verbose=True,
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# process=Process.hierarchical, # In case you want to use that instead https://docs.crewai.com/how-to/Hierarchical/
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)
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requirements.txt
ADDED
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crewai
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2 |
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crewai-tools
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