Agents team, better prompts, WIP
This commit is contained in:
ajaysi
@@ -17,7 +17,8 @@ print("Loading, required libraries..")
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app = typer.Typer()
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from lib.utils.alwrity_utils import blog_from_audio, blog_from_keyword, do_web_research, do_web_research, ai_news_writer
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from lib.utils.alwrity_utils import write_story, essay_writer, blog_tools, competitor_analysis, image_to_text_writer, image_generator
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from lib.utils.alwrity_utils import write_story, essay_writer, blog_tools
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from lib.utils.alwrity_utils import content_planning, competitor_analysis, image_to_text_writer, image_generator
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def prompt_for_time_range():
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@@ -100,8 +101,8 @@ def content_planning_tools():
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choices = [
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("Do keyword Research", "Keywords web research - 🤓 Will read & earn my bread.."),
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("Competitor Analysis", "Competitor Analysis - 🧐What's my neighbour doing.."),
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("Blog Titles", "🥹🥹 Just give me Topic titles")
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("Competitor Analysis", "Competitor Analysis - 🧐 What's my neighbour doing.."),
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("Content Calender", "🥹🥹 Just give me content calender 🥹🥹")
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]
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mode = radiolist_dialog(title="Choose an option:", values=choices).run()
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@@ -110,6 +111,8 @@ def content_planning_tools():
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do_web_research()
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elif mode == 'Competitor Analysis':
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competitor_analysis()
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elif mode == 'Content Calender':
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content_planning()
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def check_search_apis():
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@@ -45,7 +45,6 @@ from urllib.parse import quote_plus
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from tqdm import tqdm
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from tabulate import tabulate
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from pytrends.request import TrendReq
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from wordcloud import WordCloud
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from loguru import logger
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# Configure logger
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@@ -74,7 +74,8 @@ def do_tavily_ai_search(search_keywords):
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logger.info(f"Doing Tavily AI search for: {search_keywords}")
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t_results = get_tavilyai_results(search_keywords)
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t_titles = tavily_extract_information(t_results, 'titles')
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return(t_results, t_titles)
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t_answer = tavily_extract_information(t_results, 'answer')
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return(t_results, t_titles, t_answer)
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except Exception as err:
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logger.error(f"Failed to do Tavily AI Search: {err}")
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@@ -99,7 +99,7 @@ def get_tavilyai_results(keywords):
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def print_result_table(output_data):
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""" Pretty print the tavily AI serch result. """
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""" Pretty print the tavily AI search result. """
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# Prepare data for tabulate
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table_data = []
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for item in output_data.get("results"):
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@@ -16,25 +16,25 @@ from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
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def write_blog_google_serp(search_keyword, search_results):
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"""Combine the given online research and gpt blog content"""
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prompt = f"""
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You are Alwrity, the Creative Content writer, writing up fresh ideas and crafts them with care and uniqueness.
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She makes complex topics simple to understand and writes in a friendly, conversational tone that connects with everyone.
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She excels at creating a introductions that attract users, to read more.
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As a SEO expert and content writer, I will provide you with my 'web research keywords' and its 'google search result'.
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As expert Creative Content writer, writing up fresh ideas with care and uniqueness.
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I will provide you with my 'web research keywords' and its 'google search result'.
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Your goal is to create detailed SEO-optimized content and also include 5 FAQs.
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Follow below guidelines:
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1). Your blog content should compete against all blogs from search results.
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2). Your FAQ should be based on 'People also ask' and 'Related Queries' from given search result.
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Always include answers for each FAQ, use your knowledge and confirm with snippets given in search result.
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3). Act as subject matter expert for given research keywords: {search_keyword}.
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4). Your blog should be highly formatted in markdown style and highly readable.
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5). Always write in the first person.
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6). Inject Your Unique Voice and Style: Add personal insights, anecdotes, or experiences to infuse authenticity and humanize the content, making it engaging and authentic.
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4). Conversational tone: Write like you're chatting with a friend, making the topic approachable and interesting.
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5). Your blog should be highly formatted in markdown style and highly readable.
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6). Friendly tone: Write like you're talking to a friend, not giving a lecture.
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7). Simple explanations: No robotic jargon! Make AI writing easy to understand.
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8). Personal touch: Share your own experiences and opinions to make it relatable.
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9). Examples and stories: Bring the topic to life with real-world examples.
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\n\nWeb Research Keyword: "{search_keyword}"
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Google search Result: "{search_results}"
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Here are some Google search results to spark your creativity: "{search_results}".
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But don't just rehash them - use your own voice and insights!
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"""
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logger.info("Generating blog and FAQs from Google web search results.")
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try:
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@@ -43,3 +43,70 @@ def write_blog_google_serp(search_keyword, search_results):
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except Exception as err:
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logger.error(f"Exit: Failed to get response from LLM: {err}")
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exit(1)
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def improve_blog_intro(blog_content, blog_intro):
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"""Combine the given online research and gpt blog content"""
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prompt = f"""
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As an expert Content editor, I will provide you with my 'blog content' and its new 'blog introduction'.
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Your goal is to replace the old introduction with the given new introduction.
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Do Not change any other section of the blog content.
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You must respond with the complete blog content with replaced introduction.
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Do not provide explanations for your response.
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\n\nBlog Content: "{blog_content}"
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Blog Introduction: "{blog_intro}".
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"""
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logger.info("Generating blog introduction from tavily answer.")
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"Exit: Failed to get response from LLM: {err}")
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exit(1)
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def blog_with_keywords(blog, keywords):
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"""Combine the given online research and gpt blog content"""
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prompt = f"""
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As an expert digital content writer, specializing in content optimization and SEO.
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I will provide you with my 'blog content' and 'list of keywords' on the same topic.
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Your task is to write an original blog, utilizing given keywords and blog content.
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Your blog should be highly detailed and well formatted.
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You are Sarah, the Creative Content writer, writing up fresh ideas and crafts them with care.
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She makes complex topics easy to understand and writes in a friendly tone that connects with everyone.
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She excels at simplifying complex topics and communicates with charisma, making technical jargon come alive for her audience.
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Blog content: '{blog}'
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list of keywords: '{keywords}'
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"""
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"blog_with_keywords: Failed to get response from LLM: {err}")
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raise err
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def blog_with_research(report, blog):
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"""Combine the given online research and gpt blog content"""
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prompt = f"""
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You are Alwrity, the Creative Content writer, writing up fresh ideas and crafts them with care and uniqueness.
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She makes complex topics simple to understand and writes in a friendly, conversational tone that connects with everyone.
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She excels at simplifying complex topics and writes in the first person, for her audience.
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I will provide you with a latest 'research report' and a outdated 'blog content' on the same topic.
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Your task is to update the given blog content, using the new research report, as context.
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\n\nResearch report: '{report}'
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\n\nBlog content: '{blog}'
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"""
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"blog_with_research: Failed to get response from LLM: {err}")
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raise err
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@@ -1,36 +0,0 @@
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import os
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import sys
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from loguru import logger
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logger.remove()
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logger.add(sys.stdout,
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colorize=True,
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format="<level>{level}</level>|<green>{file}:{line}:{function}</green>| {message}"
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)
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from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
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def blog_with_keywords(blog, keywords):
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"""Combine the given online research and gpt blog content"""
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prompt = f"""
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As an expert digital content writer, specializing in content optimization and SEO.
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I will provide you with my 'blog content' and 'list of keywords' on the same topic.
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Your task is to write an original blog, utilizing given keywords and blog content.
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Your blog should be highly detailed and well formatted.
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You are Sarah, the Creative Content writer, writing up fresh ideas and crafts them with care.
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She makes complex topics easy to understand and writes in a friendly tone that connects with everyone.
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She excels at simplifying complex topics and communicates with charisma, making technical jargon come alive for her audience.
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Blog content: '{blog}'
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list of keywords: '{keywords}'
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"""
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"blog_with_keywords: Failed to get response from LLM: {err}")
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raise err
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@@ -1,33 +0,0 @@
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import os
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import sys
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from loguru import logger
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logger.remove()
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logger.add(sys.stdout,
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colorize=True,
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format="<level>{level}</level>|<green>{file}:{line}:{function}</green>| {message}"
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)
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# Intenral libraries
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from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
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def blog_with_research(report, blog):
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"""Combine the given online research and gpt blog content"""
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prompt = f"""
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You are Alwrity, the Creative Content writer, writing up fresh ideas and crafts them with care and uniqueness.
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She makes complex topics simple to understand and writes in a friendly, conversational tone that connects with everyone.
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She excels at simplifying complex topics and writes in the first person, for her audience.
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I will provide you with a latest 'research report' and a outdated 'blog content' on the same topic.
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Your task is to update the given blog content, using the new research report, as context.
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\n\nResearch report: '{report}'
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\n\nBlog content: '{blog}'
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"""
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"blog_with_research: Failed to get response from LLM: {err}")
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raise err
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@@ -15,9 +15,7 @@ logger.add(sys.stdout,
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from ..ai_web_researcher.gpt_online_researcher import do_google_serp_search,\
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do_tavily_ai_search, do_metaphor_ai_research, do_google_pytrends_analysis
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from .blog_from_google_serp import write_blog_google_serp
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from .combine_research_and_blog import blog_with_research
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from .combine_blog_and_keywords import blog_with_keywords
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from .blog_from_google_serp import write_blog_google_serp, improve_blog_intro, blog_with_keywords, blog_with_research
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from ..ai_web_researcher.you_web_reseacher import get_rag_results, search_ydc_index
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from ..blog_metadata.get_blog_metadata import blog_metadata
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from ..blog_postprocessing.save_blog_to_file import save_blog_to_file
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@@ -49,7 +47,8 @@ def write_blog_from_keywords(search_keywords, url=None):
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# Commenting it out for blog writing, using Tavily for other forms of writing.
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# Do Tavily AI research to augument the above blog.
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try:
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tavily_search_result, t_titles = do_tavily_ai_search(search_keywords)
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tavily_search_result, t_titles, t_answer = do_tavily_ai_search(search_keywords)
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blog_markdown_str = improve_blog_intro(blog_markdown_str, t_answer)
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example_blog_titles.append(t_titles)
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blog_markdown_str = blog_with_research(blog_markdown_str, tavily_search_result)
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logger.info(f"######### Blog content after Tavily AI research: ######### \n\n{blog_markdown_str}\n\n")
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@@ -71,6 +70,7 @@ def write_blog_from_keywords(search_keywords, url=None):
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pytrends_search_result = do_google_pytrends_analysis(search_keywords)
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logger.info(f"Google Trends keywords to use in the blog: {pytrends_search_result}\n")
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blog_markdown_str = blog_with_keywords(blog_markdown_str, pytrends_search_result)
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blog_markdown_str = improve_blog_intro(blog_markdown_str, t_answer)
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except Exception as err:
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logger.error(f"Failed to do Google Trends Analysis:{err}")
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logger.info(f"########### Blog Content After Google Trends Analysis:######### \n {blog_markdown_str}\n\n")
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@@ -15,7 +15,7 @@ logger.add(sys.stdout,
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from .write_blogs_from_youtube_videos import youtube_to_blog
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from ...ai_web_researcher.gpt_online_researcher import do_google_serp_search
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from ...ai_writers.combine_research_and_blog import blog_with_research
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from ..blog_from_google_serp import blog_with_research
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from ...blog_metadata.get_blog_metadata import blog_metadata
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from ...blog_postprocessing.save_blog_to_file import save_blog_to_file
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33
lib/content_planning_calender/content_already_planned.txt
Normal file
33
lib/content_planning_calender/content_already_planned.txt
Normal file
@@ -0,0 +1,33 @@
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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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@@ -0,0 +1,230 @@
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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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||||
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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:
|
||||
|
||||
1). Identify content topics and keywords for {search_keywords}.
|
||||
2). Create content calender that showcases the value proposition around {search_keywords}.
|
||||
3). Collaborate with team to identify content gaps and trending topics, relevant to given keywords.
|
||||
4). Develop content calender with a focus on organic marketing to attract online customers.
|
||||
5). The content calender should include, Head Term Keyword, Long-Tail Keyword and Blog Post Title.
|
||||
""",
|
||||
memory = True, # Enable memory
|
||||
verbose = True,
|
||||
tools = [manager_read_tool],
|
||||
max_rpm = None, # No limit on requests per minute
|
||||
max_iter = 15, # Default value for maximum iterations
|
||||
allow_delegation = False,
|
||||
llm = llm
|
||||
)
|
||||
|
||||
google_trends_researcher = Agent(
|
||||
role = 'Content Marketing & Google Trends Specialist - Sarah Qureshi.',
|
||||
|
||||
goal = f"""Use Google Trends to suggest AI writing keywords & titles, optimized for {search_keywords}.
|
||||
All the required google trends data is present in the file({os.getenv('SEARCH_SAVE_FILE')}).""",
|
||||
|
||||
backstory = f"""You are Sarah Qureshi, with 10 years as a content writer and planner.
|
||||
Your Skills:
|
||||
1). Proven experience in using Google Trends for keyword research.
|
||||
2). Strong understanding of SEO best practices.
|
||||
3). Reading files and understanding long table with data.
|
||||
4). Ability to communicate complex data insights in a clear and concise way.
|
||||
|
||||
Your Personality:
|
||||
1). Enjoys breaking down complex topics into clear and concise information.
|
||||
2). Strong communicator with a knack for explaining technical concepts in an engaging way.
|
||||
|
||||
Your responsibilties:
|
||||
1). Collaborate on content strategy, provide keyword, titles recommendations and integrate them into the content calendar.
|
||||
2). Recommend high-volume, low-competition keywords, titles with strong user intent.
|
||||
3). Recommend, Rising search queries related to {search_keywords}.
|
||||
5). Recommend keywords, blog titles for preparing/planning the content calender.
|
||||
""",
|
||||
memory = True, # Enable memory
|
||||
tools = [file_read_tool],
|
||||
verbose = True,
|
||||
max_rpm = None, # No limit on requests per minute
|
||||
max_iter = 15, # Default value for maximum iterations
|
||||
allow_delegation = False,
|
||||
llm = llm
|
||||
)
|
||||
|
||||
content_marketing_manager = Agent(
|
||||
role="Content Marketing Manager - Diksha Yuj",
|
||||
goal=f"""Create highly detailed 2 month-long content calender, focused around keywords: {search_keywords}.
|
||||
Important to ensure the keywords and titles are not already written on, consult the file(content_already_planned.txt).""",
|
||||
backstory="""
|
||||
Content Marketing Manager: Diksha Yuj
|
||||
Experience: Digital Marketing Veteran (15+ years)
|
||||
|
||||
Mission: Supercharge organic growth of the company, with content marketing.
|
||||
|
||||
Responsibilities:
|
||||
|
||||
1). Ensures that content titles are not repeated & No keyword cannabilization.
|
||||
2). Maintains and consults a file for all previous written titles.
|
||||
3). Develops a content calendar aligned and optimized around {search_keywords}.
|
||||
4). Keenly follows & learns the research and communication of other team members.
|
||||
5). The content calender should include, Head Term Keyword, Long-Tail Keyword and Blog Post Title.
|
||||
""",
|
||||
memory=True, # Enable memory
|
||||
verbose=True,
|
||||
tools = [manager_read_tool],
|
||||
max_rpm=None, # No limit on requests per minute
|
||||
max_iter=10, # Default value for maximum iterations
|
||||
allow_delegation=False,
|
||||
llm=llm
|
||||
)
|
||||
|
||||
return [content_researcher, google_trends_researcher, content_planner, content_marketing_manager]
|
||||
|
||||
|
||||
def create_tasks(agents, search_keywords):
|
||||
research_task = Task(
|
||||
description=f"""Conduct a analysis on the following: "{search_keywords}". Suggest blog titles for content calender.
|
||||
Set the input parameter as : search_query""",
|
||||
expected_output=f"""Analyze keywords {search_keywords} to provide content ideas for content calender.""",
|
||||
agent=agents[0] # Assign to the researcher agent
|
||||
)
|
||||
|
||||
google_trends_task = Task(
|
||||
description=f"""Conduct Google Trends analysis, on keywords: {search_keywords}, from the file({os.getenv('SEARCH_SAVE_FILE')}).
|
||||
Suggest blog titles for content calender. Recommend high-volume, low-competition keywords with strong user intent.
|
||||
Set the input parameter file_path to {os.getenv('SEARCH_SAVE_FILE')}""",
|
||||
expected_output=f"Recommend content ideas, blog titles to be included in the content calender.",
|
||||
agent=agents[1] # Assign to the researcher agent
|
||||
)
|
||||
planner_task = Task(
|
||||
description=f"""Develop a content calendar for {search_keywords} that includes evergreen, trending, and seasonal post ideas.""",
|
||||
expected_output=f"""
|
||||
A Highly detailed content calender that positions {search_keywords} as a must-read for industry insiders and newcomers alike.
|
||||
Prioritize keywords relevant to user needs and search intent, leveraging Google Trends insights.
|
||||
Employ a balance of head terms (broad topics) and long-tail keywords (specific phrases) for optimal reach and targeting.
|
||||
New content should target unique keywords to avoid competition with existing content.
|
||||
Focus on specific aspects within a theme to differentiate semantically similar keywords for {search_keywords}.
|
||||
Use context & insights from Aisha Sharma & Sarah Qureshi.
|
||||
Set the input parameter file_path to content_already_planned.txt""",
|
||||
#human_input=True,
|
||||
agent=agents[2] # Assign to the outliner agent
|
||||
)
|
||||
|
||||
marketing_manager_task = Task(
|
||||
description=f"""Make sure the content calender is optimised for keywords: '{search_keywords}'.
|
||||
Make sure the titles are unique, semantically unique and mitigate keyword cannabilization.
|
||||
Use context & insights from Aisha Sharma & Sarah Qureshi.
|
||||
Set the input parameter file_path to content_already_planned.txt
|
||||
""",
|
||||
expected_output=f"""Final content calender for the next 2 months. Targeting 5 articles per week.
|
||||
Make sure to present the content calender in tabular format. Include details of how to use the content calender.""",
|
||||
agent=agents[3] # Assign to the reviewer agent
|
||||
)
|
||||
|
||||
return [research_task, google_trends_task, planner_task, marketing_manager_task]
|
||||
|
||||
|
||||
def execute_tasks(agents, tasks):
|
||||
crew = Crew(
|
||||
agents=agents,
|
||||
tasks=tasks,
|
||||
verbose=2, # You can set it to 1 or 2 for different logging levels
|
||||
#process=Process.sequential,
|
||||
#memory=True,
|
||||
language="en"
|
||||
)
|
||||
result = crew.kickoff()
|
||||
return result
|
||||
|
||||
|
||||
def ai_agents_writers(search_keywords):
|
||||
do_google_trends_analysis(search_keywords)
|
||||
#setup_environment()
|
||||
agents = create_agents(search_keywords)
|
||||
tasks = create_tasks(agents, search_keywords)
|
||||
result = execute_tasks(agents, tasks)
|
||||
print("########## Final Output Result ############")
|
||||
print(result)
|
||||
12
lib/content_planning_calender/requirements.txt
Normal file
12
lib/content_planning_calender/requirements.txt
Normal file
@@ -0,0 +1,12 @@
|
||||
crewai[tools]
|
||||
langchain-google-genai
|
||||
scikit-learn
|
||||
scipy
|
||||
matplotlib
|
||||
pandas
|
||||
plotly
|
||||
lxml_html_clean
|
||||
tabulate
|
||||
pytrends
|
||||
loguru
|
||||
requests_html
|
||||
@@ -19,6 +19,8 @@ from lib.ai_writers.ai_agents_crew_writer import ai_agents_writers
|
||||
from lib.gpt_providers.text_generation.ai_story_writer import ai_story_generator
|
||||
from lib.gpt_providers.text_generation.ai_essay_writer import ai_essay_generator
|
||||
from lib.gpt_providers.text_to_image_generation.main_generate_image_from_prompt import generate_image
|
||||
from lib.content_planning_calender.content_planning_agents_alwrity_crew import ai_agents_writers
|
||||
|
||||
|
||||
|
||||
def blog_from_audio():
|
||||
@@ -219,6 +221,30 @@ def write_story():
|
||||
exit(1)
|
||||
|
||||
|
||||
def content_planning():
|
||||
""" Agents team to create a content calender """
|
||||
while True:
|
||||
print("________________________________________________________________")
|
||||
content_keywords = input_dialog(
|
||||
title='Enter Main Domain Keywords of your business:',
|
||||
text='Better keywords will generate better blog titles, content calender, Play with keywords & combine into single calender:',
|
||||
).run()
|
||||
|
||||
# If the user cancels, exit the loop
|
||||
if content_keywords is None:
|
||||
break
|
||||
if content_keywords and len(content_keywords.split()) >= 2:
|
||||
break
|
||||
else:
|
||||
message_dialog(
|
||||
title='Error',
|
||||
text='🚫 Single keywords are just too vague. Try again.'
|
||||
).run()
|
||||
try:
|
||||
ai_agents_writers(content_keywords)
|
||||
except Exception as err:
|
||||
print(f"Failed to genrate content calender: {err}")
|
||||
|
||||
|
||||
def essay_writer():
|
||||
# Define essay types and education levels
|
||||
|
||||
Reference in New Issue
Block a user