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app.py

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+"""
+Blog Editor agent implemented with LLMs and crewai framework for handling autogen agents.
+
+It uses streamlit, crewai and openai functions to execute the task of interest.
+
+It is based on the crewai gemini demo: https://huggingface.co/spaces/eaglelandsonce/crewaiongemini
+"""
+
+import os
+import streamlit as st
+from crewai import Agent, Task, Crew, Process
+from langchain.tools import DuckDuckGoSearchRun
+
+# from langchain.llms import ChatOpenAI
+
+# set page title
+st.title("Blog Editor")
+st.markdown(
+    "This is a demo of the [CrewAI](https://crewai.co/) framework for handling autogen agents. It is based on the [CrewAI Gemini Demo](https://huggingface.co/spaces/eaglelandsonce/crewaiongemini)."
+)
+st.markdown(
+    "The goal of this demo is to show how you can use the [CrewAI](https://crewai.co/) framework to create a blog editor agent that can help you edit your blog posts. The agent is composed of two agents: a researcher and an editor. The researcher is responsible for conducting research and fact-checking the information provided in the blog post. The editor is responsible for editing the blog post and making sure it is clear, coherent, and impactful."
+)
+
+
+# Retrieve API Key from Environment Variable
+# setup sidebar: models to choose from and API key input
+with st.sidebar:
+    st.header("OpenAI Configuration")
+    st.markdown(
+        "For more information about the models, see [here](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo)."
+    )
+    selected_key = st.text_input("API Key", type="password")
+
+# Instantiate your tools: Search engine tool duckduckgo-search
+search_tool = DuckDuckGoSearchRun()
+
+# enter blogpost article
+blogpost = st.text_area("Enter blogpost article here", height=200)
+
+# check if blogpost is empty
+if blogpost == "":
+    st.warning("Please enter a blogpost article.")
+    st.stop()
+else:
+    # Define your agents with roles and goals
+    editor = Agent(
+        role="Senior Article Editor",
+        goal=f"Enhance the clarity, coherence, and impact of the {blogpost}, while maintaining the intended tone and voice of the writer.",
+        backstory="""You are a Senior Article Editor with extensive experience in editing captivating articles. Non-native English-speaking writers will    
+        provide you with sentences from their articles, and your task is to provide feedback on the grammar, style, and overall impact of the sentences. Your       
+        feedback should focus on enhancing the clarity, coherence, and engagement of the sentences.""",
+        verbose=True,
+        allow_delegation=False,
+        tools=[search_tool],
+        # llm=ChatOpenAI(model_name=selected_model, api_key=selected_key),
+        # You can pass an optional llm attribute specifying what mode you wanna use.
+        # It can be a local model through Ollama / LM Studio or a remote
+        # model like OpenAI, Mistral, Antrophic of others (https://python.langchain.com/docs/integrations/llms/)
+        #
+        # Examples:
+        # llm=ollama_llm # was defined above in the file
+        # llm=ChatOpenAI(model_name="gpt-3.5", temperature=0.7)
+    )
+    researcher = Agent(
+        role="Article Researcher",
+        goal="conduct thorough research, fact-check information, and verify the credibility of sources cited in the articles.",
+        backstory="""I want you to act as a news article researcher responsible for reviewing the content provided by the editor. Your task is to ensure that the        
+        content is accurate, up-to-date, and aligned with the current day and age. You will need to fact-check information, verify sources, and identify any        
+        outdated or irrelevant details. Additionally, you should assess the overall tone and style of the article to ensure it resonates with the intended          
+        audience.""",
+        verbose=True,
+        allow_delegation=True,
+        tools=[search_tool],
+        # llm=ChatOpenAI(model_name=selected_model, api_key=selected_key),
+        # (optional) llm=ollama_llm
+    )
+
+    # Create tasks for your agents
+    task1 = Task(
+        description=f"""Conduct a comprehensive analysis of the provided {blogpost}.
+    Your analysis should include the following:
+    - Give a brief overview of the article
+    - Identify the main points of the article
+    - Find grammatical errors and suggest corrections
+    - Identify any outdated or irrelevant details and suggest corrections
+
+        You can use the search tool to find additional information. But if there is no text do not continue to the next task.
+
+        But if there is no text do not continue to the next task.
+    """,
+        agent=editor,
+    )
+
+    task2 = Task(
+        description=f"""Review the credibility of the sources cited in the {blogpost} and trustworthiness of the information provided.
+        do not hesitate to use the search tool to find additional information. But if there is no text do not continue to the next task.""",
+        agent=researcher,
+    )
+
+    # Instantiate your crew with a sequential process
+    crew = Crew(
+        agents=[researcher, editor],
+        tasks=[task2, task1],
+        verbose=2,  # You can set it to 1 or 2 to different logging levels
+        # process=Process.sequential,
+    )
+
+    # Get your crew to work!
+    result = crew.kickoff()
+
+    st.write("######################")
+    st.markdown(result)

requirements.txt

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+crewai
+langchain_openai
+duckduckgo-search
+ipython
+black
+streamlit
+openai