update the application file and requirements

app.py

@@ -0,0 +1,179 @@
+# import relevant libraries and modules
+
+import warnings
+from crewai import LLM, Task, Agent, Crew
+import os
+from dotenv import load_dotenv
+from pathlib import Path
+import gradio as gr
+
+# control warnings
+warnings.filterwarnings("ignore")
+
+load_dotenv()
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+#Define LLMs
+llm_planner = LLM(model="gpt-4o-mini", temperature=0.5)
+llm_writer = LLM(model="gpt-5-mini", temperature=1.0)
+llm_editor = LLM(model="gpt-4-turbo", temperature=0.3)
+llm_fact=LLM(model="gpt-4o-mini", temperature=0.3)
+
+#Creating Agents
+
+planner = Agent(
+    role="Content Planner",
+    goal="Plan engaging and factually accurate content on {topic}",
+    backstory="You are working on planning a blog article about the topic {topic}."
+    "You collect relevant information that helps the audience learn something and make informed decisions. "
+    "Your work is the basis for the Content Writer to write an article on this topic.",
+    allow_delegation=False,
+    verbose=True,
+    llm=llm_planner
+)
+
+writer = Agent(
+    role="Content Writer",
+    goal="Write an insightful and factually accurate opinion piece about the topic: {topic}",
+    backstory="You are working on writing a new opnion piece about the topic: {topic}. "
+    "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 provided by the Content Planner. "
+    "You also provide objective and impartial insights, supported by relevant information that is provided by the Content Planner. "
+    "You acknowledge in your opnion piece when your statements are opinions as opposed to objective staements.",
+    allow_delegation=False,
+    verbose=True,
+    llm=llm_writer
+)
+
+fact_checker = Agent(
+    role="Fact Checker",
+    goal="Verify factual accuracy, detect unsupported claims and identify missing references or sources.",
+    backstory="You are a meticulous research analyst who checks every claim against known facts and relaible sources",
+    allow_delegation=False,
+    verbose=True,
+    llm=llm_fact
+)
+
+editor = Agent(
+    role="Editor",
+    goal="Edit a given blog post to align with the context and narrative style of the {topic} (e.g. academic, informal, satirical).",
+    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. "
+    "The blog post should align with the context and narrative style of the topic being discussed.",
+    allow_delegation=False,
+    verbose=True,
+    llm=llm_editor
+)
+
+#Creating Tasks
+
+plan = Task(
+    name="content_planner_task",
+    description=(
+        "1. Prioritize the latest trends, key players, and groundbreaking news on {topic}.\n"
+        "2. Identify the target audience, considering their interests and pain points.\n"
+        "3. Develop a detailed content outline including and 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 = planner
+)
+
+write = Task(
+    name="blog_writer_task",
+    description=(
+        "1. Use the provided 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 structured with an engaging introduction, insightful body, and a summarizing conclusion.\n"
+        "5. The narrative style and language used should be determined by the target audience and {tone}.\n"
+        "6. Proofread for grammatical errors and alignment with the target audience.\n"
+    ),
+    expected_output="A well-written blog post in markdown format, ready for publication. "
+    "Each section should have 2 or 3 paragraphs and the whole blog should be a maximum of 1000 words.",
+    agent=writer, 
+    context=[plan]
+)
+
+fact_check = Task(
+    name="fact_checker_task",
+    description=(
+        "Carefully review the drafted blog post provided by the Content Writer. "
+        "Check all factual statements for accuracy and ensure sources or references are mentioned. "
+        "Identify any unsupported claims, logical inconsistencies, or outdated information. "
+        "Provide corrections or highlight areas that require further verification."
+    ),
+    expected_output=(
+        "A revised version of the blog post in markdown format, with annotations or corrections "
+        "for any inaccurate or unsupported statements."
+    ),
+    agent=fact_checker,
+    context=[write]
+)
+
+edit = Task(
+    name="editor_task",
+    description=("Edit and refine the fact-checked blog post to ensure clarity, flow and consistent {tone}.\n"
+    "Polish grammar, readability, and overall style."
+    ),
+    expected_output="A well-written blog post in markdown format, ready for publication. "
+    "Each section should have 2 or 3 paragraphs and the whole blog should be a maximum of 1000 words",
+    agent=editor,
+    context=[fact_check]
+)
+
+# Creating the Crew
+
+crew = Crew(
+    agents=[planner, writer, fact_checker, editor],
+    tasks=[plan, write, fact_check, edit],
+    process="sequential",
+    verbose=True
+)
+
+# Define Gradio Handler
+def generate_blog(topic, tone):
+    yield "⏳ Generating blog — this may take a few moments..."
+    result = crew.kickoff(inputs={"topic": topic, "tone": tone})
+    
+# CrewOutput -> extract text
+    if hasattr(result, "raw_output"):
+        final_text = result.raw_output
+    elif hasattr(result, "final_output"):
+        final_text = result.final_output
+    else:
+        final_text = str(result)
+
+    yield final_text
+
+# Build Gradio Interface
+with gr.Blocks(theme=gr.themes.Glass(primary_hue="purple")) as demo:
+    gr.Markdown(
+        """
+        # ✍️ AI Blog Writer Multi-Agent
+        Create a professional, fact-checked, and polished article using CrewAI agents.
+        """
+    )
+
+    with gr.Row():
+        topic = gr.Textbox(
+            label="Blog Topic",
+            placeholder="e.g. Sustainable Investing, Vegan cuisine, AI in Healthcare",
+            value="Sustainable Investing"
+        )
+        tone=gr.Dropdown(
+            ["professional", "playful", "academic", "casual", "satirical"],
+            label="Select Writing Tone",
+            value="academic"
+        )
+
+    run_button = gr.Button("🚀 Generate Blog", variant="primary")
+    output = gr.Markdown(label="📰 Generated Blog Post")
+
+    run_button.click(generate_blog, inputs=[topic, tone], outputs=output)
+
+#Launch app
+if __name__=="__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860, share=True)

requirements.txt

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+crewai
+gradio
+python-dotenv