Agents team, better prompts, WIP
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ajaysi
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lib/content_planning_calender/content_already_planned.txt
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lib/content_planning_calender/content_already_planned.txt
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* **Trending:** How Open-Source AI is Changing the Future of Content Creation
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* **Seasonal:** 5 Ways Open-Source AI Can Help You Write More Engaging Holiday Content
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* **Trending:** The Best Open-Source AI Writing Tools for Every Need
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* **Seasonal:** Open-Source AI Writing: A Threat to Human Writers or a Valuable Tool?
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* **Trending:** The Ethics of Open-Source AI Writing: What You Need to Know
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* **Seasonal:** How to Use Open-Source AI to Write Festive Social Media Posts
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* **Evergreen:** Open-Source AI Writing: The Good, the Bad, and the Ugly
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* **Trending:** How Open-Source AI Can Help You Write More Effective Blog Posts
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* **Seasonal:** Open-Source AI Writing: How to Create Holiday-Themed Website Content
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* **Evergreen:** How to Use Open-Source AI to Write Better Social Media Content
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* **Trending:** The Best Open-Source AI Writing Tools for Bloggers
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* **Seasonal:** How to Use Open-Source AI to Write Holiday-Themed Email Marketing Campaigns
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* **Seasonal:** Open Source AI Writers for Holiday Content Creation
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* **Evergreen:** How to Write Great Content with Open Source AI Writers: A Step-by-Step Guide
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* **Trending:** The Role of Open Source AI Writers in SEO
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* **Seasonal:** Open Source AI Writers for Black Friday and Cyber Monday
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* **Trending:** Open Source AI Writers and the Future of Content Consumption
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* **Trending:** Open Source AI Writers and the Rise of Personalized Content
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* **Trending:** Open Source AI Writers and the Future of Content Strategy
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* **Seasonal:** Open Source AI Writers for Back-to-School Content
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* **Trending:** Open Source AI Writers and the Rise of AI-Generated Art
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* How AI Writers Can Help You Create High-Quality Blog Posts
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* The Role of AI Writers in the Future of Content Creation
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* AI Writers vs. Human Writers: Which Is Better for Your Content?
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* The Dos and Don'ts of Using AI Writers
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| 5 | AI writing tool news | News about AI writing tools | The Latest News about AI Writing Tools |
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| 6 | AI writing tool resources | Resources for AI writing tools | The Best Resources for AI Writing Tools |
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| 6 | AI writing tool community | Community for AI writing tools | The Best Community for AI Writing Tools |
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| 6 | AI writing tool support | Support for AI writing tools | The Best Support for AI Writing Tools |
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| 7 | AI writing tool training | Training for AI writing tools | The Best Training for AI Writing Tools |
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| 7 | AI writing tool certification | Certification for AI writing tools | The Best Certification for AI Writing Tools |
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| 7 | AI writing tool courses | Courses for AI writing tools | The Best Courses for AI Writing Tools |
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| 8 | AI writing tool workshops | Workshops for AI writing tools | The Best Workshops for AI Writing Tools |
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import os
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from crewai import Agent, Task, Crew
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from crewai_tools import SerperDevTool
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from langchain_google_genai import ChatGoogleGenerativeAI
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from crewai_tools import ScrapeWebsiteTool, tool
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from crewai_tools import FileReadTool
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from ..ai_web_researcher.google_trends_researcher import do_google_trends_analysis
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def setup_environment():
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os.environ["OPENAI_MODEL_NAME"] = 'gpt-3.5-turbo' # Adjust based on given model
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def create_agents(search_keywords):
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# Tools for the agents.
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search_tool = SerperDevTool()
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# To enable scrapping any website it finds during it's execution
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#scrape_tool = ScrapeWebsiteTool()
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# To read results from a file.
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# Initialize the tool to read any files the agents knows or lean the path for
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# file_read_tool = FileReadTool()
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# Initialize the tool with a specific file path, so the agent can only read the content of the specified file
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file_read_tool = FileReadTool(file_path=os.getenv('SEARCH_SAVE_FILE'))
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# The manager keeps an eye on the content already planned to give new ideas.
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# TBD: Accept the user website urls and populate the file with sitemap.xml
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manager_read_tool = FileReadTool(file_path="content_already_planned.txt")
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# Load the google gemini api key
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google_api_key = os.getenv("GEMINI_API_KEY")
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# Set gemini pro as llm
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llm = ChatGoogleGenerativeAI(
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model="gemini-pro", verbose=True, temperature=0.7, google_api_key=google_api_key
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)
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content_researcher = Agent(
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role = 'Senior Web Research Analyst (Content Strategy): Aisha Sharma',
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goal = f"""
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Recommend unique blog titles for "{search_keywords}" keywords.
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Provide researched titles to be used for content calender & planning.""",
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backstory = f"""
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Your Focus: Content Opportunity Analysis & Keyword Research ({search_keywords}).
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Your Skills:
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1). Web Research & Content Gap Identification (Expert).
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2). SEO Best Practices, Keyword Research & content planning expert (Advanced).
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3). Analyzes search trends and competitor content.
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Mission:
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1). Fuel company's content strategy with data-driven insights to attract and educate online readers.
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2). Identifies high-volume, low-competition keywords relevant to {search_keywords}.
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Responsibilities:
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1). Recommend high-value content opportunities through in-depth web research and competitor analysis.
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2). Do competitor analysis for {search_keywords} for content calender & planning.
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""",
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tools = [search_tool],
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memory = True, # Enable memory
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verbose = True,
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max_rpm = None, # No limit on requests per minute
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max_iter = 10, # Default value for maximum iterations
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allow_delegation = False,
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llm = llm
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)
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content_planner = Agent(
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role = 'Senior Content Strategist & planner - Ted XingPi',
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goal = f"""
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Craft a series of content titles around {search_keywords} that can be expanded into 2 month-long series.
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Do not repeat the blog titles, always consult the previously written blog titles from the file(content_already_planned.txt).
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Set the """,
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backstory = """You are Ted XingPi, with Experience of 15 years.
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Your Skills:
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1). Content Opportunity Analysis & Content calender planning (Expert).
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2). AI Applications for Content Marketing (Highly Knowledgeable).
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3). Content Strategy Development & planning.
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4). Analyze keyword research for content opportunities.
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Your Responsibilties:
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1). Identify content topics and keywords for {search_keywords}.
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2). Create content calender that showcases the value proposition around {search_keywords}.
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3). Collaborate with team to identify content gaps and trending topics, relevant to given keywords.
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4). Develop content calender with a focus on organic marketing to attract online customers.
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5). The content calender should include, Head Term Keyword, Long-Tail Keyword and Blog Post Title.
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""",
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memory = True, # Enable memory
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verbose = True,
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tools = [manager_read_tool],
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max_rpm = None, # No limit on requests per minute
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max_iter = 15, # Default value for maximum iterations
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allow_delegation = False,
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llm = llm
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)
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google_trends_researcher = Agent(
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role = 'Content Marketing & Google Trends Specialist - Sarah Qureshi.',
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goal = f"""Use Google Trends to suggest AI writing keywords & titles, optimized for {search_keywords}.
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All the required google trends data is present in the file({os.getenv('SEARCH_SAVE_FILE')}).""",
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backstory = f"""You are Sarah Qureshi, with 10 years as a content writer and planner.
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Your Skills:
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1). Proven experience in using Google Trends for keyword research.
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2). Strong understanding of SEO best practices.
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3). Reading files and understanding long table with data.
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4). Ability to communicate complex data insights in a clear and concise way.
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Your Personality:
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1). Enjoys breaking down complex topics into clear and concise information.
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2). Strong communicator with a knack for explaining technical concepts in an engaging way.
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Your responsibilties:
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1). Collaborate on content strategy, provide keyword, titles recommendations and integrate them into the content calendar.
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2). Recommend high-volume, low-competition keywords, titles with strong user intent.
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3). Recommend, Rising search queries related to {search_keywords}.
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5). Recommend keywords, blog titles for preparing/planning the content calender.
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""",
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memory = True, # Enable memory
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tools = [file_read_tool],
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verbose = True,
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max_rpm = None, # No limit on requests per minute
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max_iter = 15, # Default value for maximum iterations
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allow_delegation = False,
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llm = llm
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)
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content_marketing_manager = Agent(
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role="Content Marketing Manager - Diksha Yuj",
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goal=f"""Create highly detailed 2 month-long content calender, focused around keywords: {search_keywords}.
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Important to ensure the keywords and titles are not already written on, consult the file(content_already_planned.txt).""",
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backstory="""
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Content Marketing Manager: Diksha Yuj
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Experience: Digital Marketing Veteran (15+ years)
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Mission: Supercharge organic growth of the company, with content marketing.
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Responsibilities:
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1). Ensures that content titles are not repeated & No keyword cannabilization.
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2). Maintains and consults a file for all previous written titles.
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3). Develops a content calendar aligned and optimized around {search_keywords}.
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4). Keenly follows & learns the research and communication of other team members.
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5). The content calender should include, Head Term Keyword, Long-Tail Keyword and Blog Post Title.
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""",
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memory=True, # Enable memory
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verbose=True,
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tools = [manager_read_tool],
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max_rpm=None, # No limit on requests per minute
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max_iter=10, # Default value for maximum iterations
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allow_delegation=False,
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llm=llm
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)
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return [content_researcher, google_trends_researcher, content_planner, content_marketing_manager]
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def create_tasks(agents, search_keywords):
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research_task = Task(
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description=f"""Conduct a analysis on the following: "{search_keywords}". Suggest blog titles for content calender.
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Set the input parameter as : search_query""",
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expected_output=f"""Analyze keywords {search_keywords} to provide content ideas for content calender.""",
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agent=agents[0] # Assign to the researcher agent
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)
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google_trends_task = Task(
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description=f"""Conduct Google Trends analysis, on keywords: {search_keywords}, from the file({os.getenv('SEARCH_SAVE_FILE')}).
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Suggest blog titles for content calender. Recommend high-volume, low-competition keywords with strong user intent.
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Set the input parameter file_path to {os.getenv('SEARCH_SAVE_FILE')}""",
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expected_output=f"Recommend content ideas, blog titles to be included in the content calender.",
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agent=agents[1] # Assign to the researcher agent
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)
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planner_task = Task(
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description=f"""Develop a content calendar for {search_keywords} that includes evergreen, trending, and seasonal post ideas.""",
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expected_output=f"""
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A Highly detailed content calender that positions {search_keywords} as a must-read for industry insiders and newcomers alike.
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Prioritize keywords relevant to user needs and search intent, leveraging Google Trends insights.
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Employ a balance of head terms (broad topics) and long-tail keywords (specific phrases) for optimal reach and targeting.
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New content should target unique keywords to avoid competition with existing content.
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Focus on specific aspects within a theme to differentiate semantically similar keywords for {search_keywords}.
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Use context & insights from Aisha Sharma & Sarah Qureshi.
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Set the input parameter file_path to content_already_planned.txt""",
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#human_input=True,
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agent=agents[2] # Assign to the outliner agent
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)
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marketing_manager_task = Task(
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description=f"""Make sure the content calender is optimised for keywords: '{search_keywords}'.
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Make sure the titles are unique, semantically unique and mitigate keyword cannabilization.
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Use context & insights from Aisha Sharma & Sarah Qureshi.
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Set the input parameter file_path to content_already_planned.txt
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""",
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expected_output=f"""Final content calender for the next 2 months. Targeting 5 articles per week.
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Make sure to present the content calender in tabular format. Include details of how to use the content calender.""",
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agent=agents[3] # Assign to the reviewer agent
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)
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return [research_task, google_trends_task, planner_task, marketing_manager_task]
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def execute_tasks(agents, tasks):
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crew = Crew(
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agents=agents,
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tasks=tasks,
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verbose=2, # You can set it to 1 or 2 for different logging levels
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#process=Process.sequential,
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#memory=True,
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language="en"
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)
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result = crew.kickoff()
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return result
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def ai_agents_writers(search_keywords):
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do_google_trends_analysis(search_keywords)
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#setup_environment()
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agents = create_agents(search_keywords)
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tasks = create_tasks(agents, search_keywords)
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result = execute_tasks(agents, tasks)
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print("########## Final Output Result ############")
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print(result)
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12
lib/content_planning_calender/requirements.txt
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12
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crewai[tools]
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langchain-google-genai
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scikit-learn
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scipy
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matplotlib
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pandas
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plotly
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lxml_html_clean
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tabulate
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pytrends
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loguru
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requests_html
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