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agents.py

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+from crewai import Agent
+from llm_model import LLM_MODEL
+
+# 1. Content Planner Agent
+content_planner = Agent(
+    role="Content Planner",
+    goal="Plan engaging and factually accurate content on {topic}",
+    backstory="You're working on planning a blog article "
+              "about the topic: {topic} in 'https://medium.com/'."
+              "You collect information that helps the "
+              "audience learn something "
+              "and make informed decisions. "
+              "You have to prepare a detailed "
+              "outline and the relevant topics and sub-topics that has to be a part of the"
+              "blogpost."
+              "Your work is the basis for "
+              "the Content Writer to write an article on this topic.",
+    llm=LLM_MODEL,
+    allow_delegation=False,
+)
+
+# 2. Blog Writer Agent
+blog_writer = Agent(
+    role="Blog Writer",
+    goal="Write insightful and factually accurate "
+         "opinion piece about the topic: {topic}",
+    backstory="You're working on a writing "
+              "a new opinion piece about the topic: {topic} in 'https://medium.com/'. "
+              "You base your writing on the work of "
+              "the Content Planner, who provides an outline "
+              "and relevant context about the topic. "
+              "You follow the main objectives and "
+              "direction of the outline, "
+              "as provide by the Content Planner. "
+              "You also provide objective and impartial insights "
+              "and back them up with information "
+              "provide by the Content Planner. "
+              "You acknowledge in your opinion piece "
+              "when your statements are opinions "
+              "as opposed to objective statements.",
+    llm=LLM_MODEL,
+    allow_delegation=False,
+)
+
+# 3. Editor Agent
+editor = Agent(
+    role="Editor",
+    goal="Edit a given blog post to align with "
+         "the writing style of the organization 'https://medium.com/'. ",
+    backstory="You are an editor who receives a blog post "
+              "from the Content Writer. "
+              "Your goal is to review the blog post "
+              "to ensure that it follows journalistic best practices,"
+              "provides balanced viewpoints "
+              "when providing opinions or assertions, "
+              "and also avoids major controversial topics "
+              "or opinions when possible.",
+    llm=LLM_MODEL,
+    allow_delegation=False,
+)

llm_model.py

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+from langchain_groq import ChatGroq
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+# os.environ["GROQ_API_KEY"] = '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'
+
+LLM_MODEL = ChatGroq(
+    model="groq/llama-3.3-70b-versatile",
+    temperature=0,
+    max_tokens=1024,
+    timeout=30,
+    max_retries=2,
+)

main.py

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+from crewai import Crew
+from tasks import plan_task, write_task, edit_task
+import gradio as gr
+
+# Initialize Crew with agents and their tasks
+blog_crew = Crew(
+    agents=[plan_task.agent, write_task.agent, edit_task.agent],
+    tasks=[plan_task, write_task, edit_task],
+    verbose=True
+)
+
+# Function to run the blog creation workflow
+def generate_blog(topic):
+    if not topic or topic.strip() == "":
+        return "❌ Error: Please enter a valid topic for the blog post."
+    if len(topic.strip()) < 5:
+        return "❌ Error: The topic is too short. Please provide a more detailed topic."
+
+    print(f"Starting the Blog Writer Multi-Agent System for topic: {topic}")
+    try:
+        inputs = {"topic": topic}
+        result = blog_crew.kickoff(inputs=inputs)
+        print("Blog content creation completed!")
+        return result
+    except Exception as e:
+        print(f"An error occurred: {e}")
+        return f"❌ Error: Failed to generate the blog post. Please try again with a different topic."
+
+# Gradio Interface
+def gradio_interface(topic):
+    blog_content = generate_blog(topic)
+    return blog_content
+
+# Create Gradio app
+interface = gr.Interface(
+    fn=gradio_interface,
+    inputs=gr.Textbox(lines=2, placeholder="Enter the topic for your blog post...", label="Blog Topic"),
+    outputs=gr.Textbox(lines=20, label="Generated Blog Post"),
+    title="AI-Powered Blog Writer",
+    description="A Multi-Agent System for Automated Content Creation. Enter a topic, and the system will generate a blog post for you!"
+)
+
+# Run the Gradio app
+if __name__ == "__main__":
+    interface.launch()

requirements.txt

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+crewai
+langchain-groq
+gradio
+python-dotenv

tasks.py

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+from crewai import Task
+from agents import content_planner, blog_writer, editor
+
+# Task for Content Planner
+plan_task = Task(
+    description=(
+        "1. Prioritize the latest trends, key players, "
+            "and noteworthy news on {topic}.\n"
+        "2. Identify the target audience, considering "
+            "their interests and pain points.\n"
+        "3. Develop a detailed content outline including "
+            "an introduction, key points, and a call to action.\n"
+        "4. Include SEO keywords and relevant data or sources."
+    ),
+    expected_output="A comprehensive content plan document "
+        "with an outline, audience analysis, "
+        "SEO keywords, and resources.",
+    agent=content_planner,
+)
+
+# Task for Blog Writer
+write_task = Task(
+    description=(
+        "1. Use the content plan to craft a compelling "
+            "blog post on {topic}.\n"
+        "2. Incorporate SEO keywords naturally.\n"
+  "3. Sections/Subtitles are properly named "
+            "in an engaging manner.\n"
+        "4. Ensure the post is structured with an "
+            "engaging introduction, insightful body, "
+            "and a summarizing conclusion.\n"
+        "5. Proofread for grammatical errors and "
+            "alignment with the brand's voice.\n"
+    ),
+    expected_output="A well-written blog post "
+        "in markdown format, ready for publication, "
+        "each section should have 2 or 3 paragraphs.",
+    agent=blog_writer,
+)
+
+# Task for Editor
+edit_task = Task(
+    description=("Proofread the given blog post for "
+                 "grammatical errors and "
+                 "alignment with the brand's voice."),
+    expected_output="A well-written blog post in markdown format, "
+                    "ready for publication, "
+                    "each section should have 2 or 3 paragraphs.",
+    agent=editor
+)