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Multi-Agent AI Business Consultant

2 | 3 | Welcome to the Multi-Agent AI Business Consultant! This project leverages the power of multi-agent systems to provide robust business consulting solutions using CrewaI and Streamlit. 4 | 5 | **Table of Contents** 6 | 7 | - [Overview](file:///C:\Users\Mustafa\Desktop\readme_github.docx#overview) 8 | - [Features](file:///C:\Users\Mustafa\Desktop\readme_github.docx#features) 9 | - [Installation](file:///C:\Users\Mustafa\Desktop\readme_github.docx#installation) 10 | - [Usage](file:///C:\Users\Mustafa\Desktop\readme_github.docx#usage) 11 | - [License](file:///C:\Users\Mustafa\Desktop\readme_github.docx#license) 12 | - [Acknowledgments](file:///C:\Users\Mustafa\Desktop\readme_github.docx#acknowledgments) 13 | 14 | **1. Overview** 15 | 16 | The Multi-Agent AI Business Consultant is an open-source application designed to assist businesses in making data-driven decisions. It employs a multi-agent framework using CrewaI and provides an interactive user interface built with Streamlit. This application offers insights and recommendations tailored to your business needs. 17 | 18 | Read more about the project in the [Medium article](https://medium.com/@hanan.tabak/user-friendly-open-source-multi-agent-ai-business-consultant-on-crewai-and-streamlit-0f972feb1b74). 19 | 20 | **2. Features** 21 | 22 | - **Multi-Agent Framework:** Utilize multiple agents to analyze and provide business solutions. 23 | - **User-Friendly Interface:** Interactive UI built with Streamlit for ease of use. 24 | - **Customizable Agents:** Configure agents to focus on specific business areas. 25 | - **Real-Time Analytics:** Get real-time insights and recommendations. 26 | - **Scalable Architecture:** Easily extend the functionality by adding new agents or modifying existing ones. 27 | 28 | **3. Installation** 29 | 30 | To get started with the Multi-Agent AI Business Consultant, follow these steps: 31 | 32 | **3.1. Clone the Repository:** 33 | 34 | 35 | git clone 36 | 37 | 38 | 39 | **3.2. Install Dependencies:** 40 | 41 | 42 | pip install -r requirements.txt 43 | 44 | **3.3. Run the Application:** 45 | 46 | 47 | streamlit run app.py 48 | 49 | **4. Usage** 50 | 51 | **4.1. Start the Application:** 52 | 53 | Run the following command: 54 | 55 | streamlit run app.py 56 | 57 | **4.2. Access the UI:** Open your web browser and go to . 58 | **4.3. Configure Agents:** Use the configuration panel to customize the agents according to your business requirements. 59 | **4.4. Generate Insights:** Submit your queries and receive detailed insights and recommendations. 60 | 61 | **5. License** 62 | 63 | This project is licensed under the [Apache-2.0 license](https://github.com/hanantabak2/crewai_ai_business_consultant_on_streamlit) . 64 | 65 | **6. Acknowledgments** 66 | 67 | - [CrewaI](https://crewai.com) for the multi-agent framework. 68 | - [Streamlit](https://streamlit.io/) for the UI framework. 69 | -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | #================= 2 | # Import Libraries 3 | #================= 4 | 5 | import streamlit as st 6 | from crewai import Agent, Task, Crew 7 | import os 8 | from langchain_cohere import ChatCohere 9 | 10 | 11 | #================= 12 | # Add Streamlit Components 13 | #================= 14 | 15 | # background 16 | page_bg_img = ''' 17 | 23 | ''' 24 | st.markdown(page_bg_img, unsafe_allow_html=True) 25 | 26 | # title 27 | st.title("AI Business Consultant") 28 | 29 | # logo 30 | image_url = "https://cdn-icons-png.flaticon.com/512/1998/1998614.png" 31 | st.sidebar.image(image_url, caption="", use_column_width=True) 32 | st.sidebar.write(" This AI Business Consultant is built using AI Multi-Agent system. It can give you business insights, statistical analysis and up-to-date information about any business topic. This AI Multi-Agent Business Consultant delivers knowledge on demand and for FREE!") 33 | 34 | # text inputs 35 | business = st.text_input('Enter The Required Business Search Area') 36 | stakeholder = st.text_input('Enter The Stakeholder Team') 37 | 38 | #================= 39 | # LLM object and API Key 40 | #================= 41 | os.environ["COHERE_API_KEY"] = "Your_cohere_api_key_goes_here" 42 | llm = ChatCohere() 43 | 44 | 45 | #================= 46 | # Crew Agents 47 | #================= 48 | 49 | planner = Agent( 50 | role="Business Consultant", 51 | goal="Plan engaging and factually accurate content about the : {topic}", 52 | backstory="You're working on providing Insights about : {topic} " 53 | "to your stakeholder who is : {stakeholder}." 54 | "You collect information that help them take decisions " 55 | "Your work is the basis for " 56 | "the Business Writer to deliver good insights.", 57 | allow_delegation=False, 58 | verbose=True, 59 | llm = llm 60 | ) 61 | 62 | 63 | writer = Agent( 64 | role="Business Writer", 65 | goal="Write insightful and factually accurate " 66 | "insights about the topic: {topic}", 67 | backstory="You're writing a Business Insights document " 68 | "about the topic: {topic}. " 69 | "You base your design on the work of " 70 | "the Business Consultant, who provides an outline " 71 | "and relevant context about the : {topic}. " 72 | "and also the data analyst who will provide you with necessary analysis about the : {topic} " 73 | "You follow the main objectives and " 74 | "direction of the outline, " 75 | "as provided by the Business Consultant. " 76 | "You also provide objective and impartial insights " 77 | "and back them up with information " 78 | "provided by the Business Consultant." 79 | "design your document in a professional way to be presented to : {stakeholder}." 80 | , 81 | allow_delegation=False, 82 | verbose=True, 83 | llm=llm 84 | ) 85 | 86 | 87 | analyst = Agent( 88 | role="Data Analyst", 89 | goal="Perform Comprehensive Statistical Analysis on the topic: {topic} ", 90 | backstory="You're using your strong analytical skills to provide a comprehensive statistical analysis with numbers " 91 | "about the topic: {topic}. " 92 | "You base your design on the work of " 93 | "the Business Consultant, who provides an outline " 94 | "and relevant context about the : {topic}. " 95 | "You follow the main objectives and " 96 | "direction of the outline, " 97 | "as provided by the Business Consultant. " 98 | "You also provide comprehensive statistical analysis with numbers to the Business Writer " 99 | "and back them up with information " 100 | "provided by the Business Consultant.", 101 | allow_delegation=False, 102 | verbose=True, 103 | llm=llm 104 | ) 105 | 106 | #================= 107 | # Crew Tasks 108 | #================= 109 | 110 | plan = Task( 111 | description=( 112 | "1. Prioritize the latest trends, key players, " 113 | "and noteworthy news on the {topic}.\n" 114 | "2. Place your business insights.\n" 115 | "3. Also give some suggestions and things to consider when \n " 116 | "dealing with International operators.\n" 117 | "5. Limit the document to only 500 words" 118 | ), 119 | expected_output="A comprehensive Business Consultancy document " 120 | "with an outline, and detailed insights, analysis and suggestions", 121 | agent=planner, 122 | # tools = [tool] 123 | 124 | ) 125 | 126 | 127 | 128 | write = Task( 129 | description=( 130 | "1. Use the business consultant's plan to craft a compelling " 131 | "document about {topic}.\n" 132 | "2. Sections/Subtitles are properly named " 133 | "in an engaging manner.\n" 134 | "3. Proofread for grammatical errors and " 135 | "alignment with the brand's voice.\n" 136 | "3. Limit the document to only 200 words " 137 | "4. Use impressive images and charts to reinforce your insights " 138 | ), 139 | expected_output="A well-written Document " 140 | "providing insights for {stakeholder} ", 141 | agent=writer 142 | ) 143 | 144 | 145 | analyse = Task( 146 | description=( 147 | "1. Use the business consultant's plan to do " 148 | "the needed statistical analysis with numbers on {topic}.\n" 149 | "2. to be presented to {stakeholder} " 150 | "in a document which will be deisgned by the Business Writer.\n" 151 | "3. You'll collaborate with your team of Business Consultant and Business writer " 152 | "to align on the best analysis to be provided about {topic}.\n" 153 | ), 154 | expected_output="A clear comprehensive data analysis " 155 | "providing insights and statistics with numbers to the Business Writer ", 156 | agent=analyst 157 | ) 158 | 159 | 160 | #================= 161 | # Execution 162 | #================= 163 | 164 | crew = Crew( 165 | agents=[planner, analyst, writer], 166 | tasks=[plan, analyse, write], 167 | verbose=2 168 | ) 169 | 170 | if st.button("Run"): 171 | with st.spinner('Loading...'): 172 | result = crew.kickoff(inputs={"topic": business,"stakeholder": stakeholder}) 173 | st.write(result) 174 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | streamlit 2 | crewai 3 | langchain_cohere 4 | chromadb 5 | pysqlite3-binary 6 | setuptools 7 | wheel 8 | --------------------------------------------------------------------------------