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ContentGeneratorAgent.py

@@ -0,0 +1,88 @@
+from crewai import Agent, Task, Crew, Process
+from crewai_tools import SerperDevTool
+import os
+
+# Model options
+llm_models = [
+    "gemini/gemini-1.5-flash",
+    "gemini/gemini-1.5-pro",
+    "gemini/gemini-pro"
+]
+
+selected_model = llm_models[0]
+
+def set_model(selected_model_name):
+    global selected_model
+    selected_model = selected_model_name
+
+def configure_api_keys(gemini_api_key, search_choice, serper_api_key):
+    if not gemini_api_key:
+        raise ValueError("Gemini API key is required")
+    os.environ['GEMINI_API_KEY'] = gemini_api_key
+    search_tool = None
+    if search_choice == "Yes":
+        if not serper_api_key:
+            raise ValueError("Serper API key is required for online search")
+        os.environ['SERPER_API_KEY'] = serper_api_key
+        search_tool = SerperDevTool()
+    return search_tool
+
+def run_crew_cga(gemini_api_key, search_choice, serper_api_key, topic):
+    try:
+        search_tool = configure_api_keys(gemini_api_key, search_choice, serper_api_key)
+
+        researcher = Agent(
+            role="Online Research Specialist",
+            goal=f"Aggregate comprehensive information on {topic}",
+            verbose=True,
+            backstory="Expert research analyst with data sourcing expertise",
+            tools=[search_tool] if search_tool else [],
+            llm=selected_model,
+            allow_delegation=True
+        )
+
+        content_writer = Agent(
+            role="Expert Content Writer",
+            goal=f"Create SEO-optimized content on {topic}",
+            verbose=True,
+            backstory="Professional writer with digital journalism background",
+            tools=[],
+            llm=selected_model,
+            allow_delegation=False
+        )
+
+        research_task = Task(
+            description=f"Conduct SEO research on '{topic}'",
+            expected_output="Detailed research report with SEO recommendations",
+            tools=[search_tool] if search_tool else [],
+            agent=researcher
+        )
+
+        writer_task = Task(
+            description=f"Write SEO-optimized article on '{topic}'",
+            expected_output="Polished article draft ready for publication",
+            agent=content_writer,
+            output_file="content.md"
+        )
+
+        crew = Crew(
+            agents=[researcher, content_writer],
+            tasks=[research_task, writer_task],
+            process=Process.sequential,
+            verbose=True,
+            max_rpm=100,
+            share_crew=True,
+            output_log_file=True
+        )
+
+        crew.kickoff(inputs={'topic': topic})
+        with open("content.md", "r") as f:
+            content = f.read()
+        with open("logs.txt", 'r') as f:
+            logs = f.read()
+        # Clear the logs file after reading
+        with open("logs.txt", 'w') as f:
+            f.truncate(0)
+        return content, logs
+    except Exception as e:
+        return f"Error: {str(e)}", str(e)

GameBuilderAgent.py

@@ -0,0 +1,136 @@
+import os
+from crewai import Agent, Task, Crew, Process
+# from crewai_tools import CodeInterpreterTool
+
+# Model options
+llm_models = [
+    "gemini/gemini-1.5-flash",
+    "gemini/gemini-1.5-pro",
+    "gemini/gemini-pro"
+]
+
+selected_model = llm_models[0]
+
+
+def set_model(selected_model_name):
+    global selected_model
+    selected_model = selected_model_name
+
+
+def configure_api_keys(gemini_api_key):
+    if not gemini_api_key:
+        raise ValueError("Gemini API key is required")
+    os.environ['GEMINI_API_KEY'] = gemini_api_key
+
+
+def run_crew_game(gemini_api_key, game):
+    try:
+        # Configure API keys (no search tool used)
+        configure_api_keys(gemini_api_key)
+
+        # Agents
+        senior_game_developer_agent = Agent(
+            role='Senior Game Developer',
+            goal='Design and develop engaging games',
+            verbose=True,
+            backstory=(
+                "You are a Senior Game Developer at a leading game development studio. "
+                "Your expertise lies in game design, programming in Python, and creating immersive gaming experiences using pygame. "
+                "You strive to produce high-quality, innovative games that captivate players."
+            ),
+            allow_delegation=True,
+            llm=selected_model,
+        )
+
+        qa_engineer_agent = Agent(
+            role='Software Quality Control Engineer',
+            goal='Create Perfect code, by analyzing the code that is given for errors',
+            backstory=(
+                "You are a software engineer that specializes in checking code for errors. "
+                "You have an eye for detail and a knack for finding hidden bugs. "
+                "You check for missing imports, variable declarations, mismatched brackets, syntax errors, "
+                "security vulnerabilities, and logic errors."
+            ),
+            allow_delegation=False,
+            verbose=True,
+            # allow_code_execution=True,
+            llm=selected_model,
+            # tools=[CodeInterpreterTool()],
+        )
+
+        chief_qa_engineer_agent = Agent(
+            role='Chief Software Quality Control Engineer',
+            goal='Ensure that the code does the job that it is supposed to do',
+            backstory=(
+                "You feel that programmers always do only half the job, so you are super dedicated to making high quality code."
+            ),
+            allow_delegation=True,
+            # allow_code_execution=True,
+            verbose=True,
+            llm=selected_model,
+            # tools=[CodeInterpreterTool()],
+        )
+
+        # Tasks
+        code_task = Task(
+            description=f'''You will create a game using Python, these are the instructions:
+
+                                Instructions
+                                ------------
+                                {game}
+                            ''',
+            expected_output='Your Final answer must be the full Python code, only the Python code and nothing else.',
+            agent=senior_game_developer_agent,
+        )
+
+        review_task = Task(
+            description=f'''You will create a game using Python, these are the instructions:
+
+                            Instructions
+                            ------------
+                            {game}
+
+                            Using the code you got, check for errors. Check for logic errors,
+                            syntax errors, missing imports, variable declarations, mismatched brackets,
+                            and security vulnerabilities.
+                        ''',
+            expected_output='Your Final answer must be the full Python code, only the Python code and nothing else.',
+            agent=qa_engineer_agent,
+        )
+
+        evaluate_task = Task(
+            description=f'''You are helping create a game using Python, these are the instructions:
+
+                            Instructions
+                            ------------
+                            {game}
+
+                            You will look over the code to ensure that it is complete and
+                            does the job that it is supposed to do.
+                         ''',
+            expected_output='Your Final answer must be the full Python code, only the Python code and nothing else.',
+            agent=chief_qa_engineer_agent,
+            output_file='game.py'
+        )
+
+        crew = Crew(
+            agents=[senior_game_developer_agent , qa_engineer_agent, chief_qa_engineer_agent],
+            tasks=[code_task, review_task, evaluate_task],
+            process=Process.sequential,
+            verbose=True,
+            max_rpm=100,
+            share_crew=True,
+            output_log_file=True
+        )
+
+        crew.kickoff(inputs={'game': game})
+        with open("game.py", "r", encoding='utf-8') as f:
+            content = f.read()
+        with open("logs.txt", 'r', encoding='utf-8') as f:
+            logs = f.read()
+        with open("logs.txt", 'w', encoding='utf-8') as f:
+            f.truncate(0)
+        return content, logs
+
+    except Exception as e:
+        return f"Error: {str(e)}", str(e)

app.py

@@ -1,107 +1,28 @@
-from crewai import Agent, Task, Crew, Process
-from crewai_tools import SerperDevTool
 import gradio as gr
-import os
 import markdown as md
-from datetime import datetime
-
-# Model options
-llm_models = [
-    "gemini/gemini-1.5-flash",
-    "gemini/gemini-1.5-pro",
-    "gemini/gemini-pro"
-]
-
-selected_model = llm_models[0]
-
-
-def set_model(selected_model_name):
-    global selected_model
-    selected_model = selected_model_name
-    # return f"Model set to: {selected_model}"
-
+import yaml
+from ContentGeneratorAgent import run_crew_cga, set_model, llm_models
+from GameBuilderAgent import run_crew_game
+from MarketingPostGeneratorAgent import run_crew_mpga
+import base64
 
 def toggle_serper_input(choice):
     return gr.Textbox(visible=(choice == "Yes"))
 
+def update_game_instructions(example_key):
+    # Load the game design examples from the YAML file
+    with open('gamedesign.yaml', 'r', encoding='utf-8') as f:
+        examples = yaml.safe_load(f)
+    return examples.get(example_key, "")
 
-def run_crew(gemini_api_key, search_choice, serper_api_key, topic):
-    try:
-        # Validate inputs
-        if not gemini_api_key:
-            raise ValueError("Gemini API key is required")
-
-        os.environ['GEMINI_API_KEY'] = gemini_api_key
-
-        # Configure search tool
-        search_tool = None
-        if search_choice == "Yes":
-            if not serper_api_key:
-                raise ValueError("Serper API key is required for online search")
-            os.environ['SERPER_API_KEY'] = serper_api_key
-            search_tool = SerperDevTool()
-
-        # Create agents
-        researcher = Agent(
-            role="Online Research Specialist",
-            goal="Aggregate comprehensive information on {topic}",
-            verbose=True,
-            backstory="Expert research analyst with data sourcing expertise",
-            tools=[search_tool] if search_tool else [],
-            llm=selected_model,
-            allow_delegation=True
-        )
-
-        content_writer = Agent(
-            role="Expert Content Writer",
-            goal="Create SEO-optimized content on {topic}",
-            verbose=True,
-            backstory="Professional writer with digital journalism background",
-            tools=[],
-            llm=selected_model,
-            allow_delegation=False
-        )
-
-        # Create tasks
-        research_task = Task(
-            description=f"Conduct SEO research on '{topic}'",
-            expected_output="Detailed research report with SEO recommendations",
-            tools=[search_tool] if search_tool else [],
-            agent=researcher
-        )
-
-        writer_task = Task(
-            description=f"Write SEO-optimized article on '{topic}'",
-            expected_output="Polished article draft ready for publication",
-            agent=content_writer,
-            output_file="content.md"
-        )
-
-        # Create and run crew
-        crew = Crew(
-            agents=[researcher, content_writer],
-            tasks=[research_task, writer_task],
-            process=Process.sequential,
-            verbose=True,
-            max_rpm=100,
-            share_crew=True,
-            output_log_file=True
-        )
-
-        result = crew.kickoff(inputs={'topic': topic})
-
-        # Return results
-        with open("content.md", "r") as f:
-            content = f.read()
-        with open("logs.txt", 'r') as f:
-            logs = f.read()
-        os.remove("logs.txt")
-        print(f"{datetime.now()}::{topic}-->{content}")
-        return content, logs
-
-    except Exception as e:
-        return f"Error: {str(e)}", str(e)
+def encode_image(image_path):
+    with open(image_path, "rb") as image_file:
+        return base64.b64encode(image_file.read()).decode('utf-8')
 
+# Encode the images
+github_logo_encoded = encode_image("Images/github-logo.png")
+linkedin_logo_encoded = encode_image("Images/linkedin-logo.png")
+website_logo_encoded = encode_image("Images/ai-logo.png")
 
 # UI Setup
 with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Roboto Mono")]),
@@ -111,11 +32,13 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Roboto Mono")]),
     with gr.Tabs():
         with gr.TabItem("Intro"):
             gr.Markdown(md.description)
-
-        with gr.TabItem("SEO Content Generator Agent"):
-            with gr.Accordion("How to get GEMINI API KEY ============================================", open=False):
+        # Tab for SEO Content Generator Agent
+        with gr.TabItem("SEO Content Agent"):
+            with gr.Accordion("📔 Description:", open=False):
+                gr.Markdown(md.seo_content)
+            with gr.Accordion("How to get GEMINI API KEY", open=False):
                 gr.Markdown(md.gemini_api_key)
-            with gr.Accordion("How to get SERPER API KEY ============================================", open=False):
+            with gr.Accordion("How to get SERPER API KEY", open=False):
                 gr.Markdown(md.serper_api_key)
             with gr.Row():
                 with gr.Column(scale=1):
@@ -138,35 +61,140 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Roboto Mono")]),
                         label="4. Enter Serper API Key",
                         type="password",
                         visible=False,
-                        placeholder="Paste Serper API key if enabled..."
+                        placeholder="Paste your Serper API key if enabled..."
                     )
                     topic_input = gr.Textbox(
                         label="5. Enter Content Topic",
                         placeholder="Enter your article topic here..."
                     )
                     run_btn = gr.Button("Generate Content", variant="primary")
-
                 with gr.Column(scale=3):
                     output = gr.Markdown(
                         label="Generated Content",
                         value="Your content will appear here..."
                     )
-                    with gr.Accordion("Process Logs", open=False):
+                    with gr.Accordion("Process Logs", open=True):
                         logs = gr.Markdown()
 
-    # Event handlers
-    model_dropdown.change(set_model, model_dropdown)
-    search_toggle.change(
-        toggle_serper_input,
-        inputs=search_toggle,
-        outputs=serper_key
-    )
-    run_btn.click(
-        run_crew,
-        inputs=[gemini_key, search_toggle, serper_key, topic_input],
-        outputs=[output, logs],
-        show_progress="full"
-    )
+            # Event handlers for SEO Content Generator
+            model_dropdown.change(set_model, model_dropdown)
+            search_toggle.change(
+                toggle_serper_input,
+                inputs=search_toggle,
+                outputs=serper_key
+            )
+            run_btn.click(
+                run_crew_cga,
+                inputs=[gemini_key, search_toggle, serper_key, topic_input],
+                outputs=[output, logs],
+                show_progress="full"
+            )
+
+        # Tab for Game Dev Agent
+        with gr.TabItem("Game Dev Agent"):
+            with gr.Accordion('📔 Description:', open=True):
+                gr.Markdown(md.game_dev)
+            with gr.Accordion("How to get GEMINI API KEY", open=False):
+                gr.Markdown(md.gemini_api_key)
+            with gr.Row():
+                with gr.Column(scale=1):
+                    game_model_dropdown = gr.Dropdown(
+                        llm_models,
+                        label="1. Select AI Model",
+                        value=llm_models[0]
+                    )
+                    game_gemini_key = gr.Textbox(
+                        label="2. Enter Gemini API Key",
+                        type="password",
+                        placeholder="Paste your Gemini API key here..."
+                    )
+                    game_example_dropdown = gr.Dropdown(
+                        choices=["pacman", "pacman2", "snake", "space_invaders", "Tetris", "Frogger", "Chess", "Go", "Reversi"],
+                        label="3. Select Example",
+                        value="example1_pacman"
+                    )
+                    game_load_example_btn = gr.Button("Load Example", variant="secondary")
+
+                    game_instructions = gr.Textbox(
+                        label="4. Enter Game Design Instructions",
+                        placeholder="Enter your game design instructions here...",
+                        lines=5
+                    )
+                    game_run_btn = gr.Button("Generate Game Code", variant="primary")
+                with gr.Column(scale=3):
+                    game_output = gr.Markdown(
+                        label="Generated Game Code",
+                        value="Your game code will appear here..."
+                    )
+                    with gr.Accordion("Process Logs", open=False):
+                        game_logs = gr.Markdown()
+
+            # Event handlers for Game Dev Agent
+            game_model_dropdown.change(set_model, game_model_dropdown)
+            game_load_example_btn.click(
+                update_game_instructions,
+                inputs=[game_example_dropdown],
+                outputs=[game_instructions]
+            )
+            game_run_btn.click(
+                run_crew_game,
+                inputs=[game_gemini_key, game_instructions],
+                outputs=[game_output, game_logs],
+                show_progress="full"
+            )
+
+        # Tab for Marketing Posts Generator Agent
+        with gr.TabItem("Marketing Posts Generator Agent"):
+            with gr.Accordion("How to get GEMINI API KEY", open=False):
+                gr.Markdown(md.gemini_api_key)
+            with gr.Accordion("How to get SERPER API KEY", open=False):
+                gr.Markdown(md.serper_api_key)
+            with gr.Row():
+                with gr.Column(scale=1):
+                    mpga_model_dropdown = gr.Dropdown(
+                        llm_models,
+                        label="1. Select AI Model",
+                        value=llm_models[0]
+                    )
+                    mpga_gemini_key = gr.Textbox(
+                        label="2. Enter Gemini API Key",
+                        type="password",
+                        placeholder="Paste your Gemini API key here..."
+                    )
+                    mpga_serper_key = gr.Textbox(
+                        label="3. Enter Serper API Key",
+                        type="password",
+                        placeholder="Paste your Serper API key here..."
+                    )
+                    customer_domain = gr.Textbox(
+                        label="4. Enter Customer Domain",
+                        placeholder="Enter the customer domain here..."
+                    )
+                    project_description = gr.Textbox(
+                        label="5. Enter Project Description",
+                        placeholder="Enter the project description here..."
+                    )
+                    mpga_run_btn = gr.Button("Generate Marketing Posts", variant="primary")
+                with gr.Column(scale=3):
+                    mpga_output = gr.Markdown(
+                        label="Generated Marketing Posts",
+                        value="Your marketing posts will appear here..."
+                    )
+                    with gr.Accordion("Process Logs", open=False):
+                        mpga_logs = gr.Markdown()
+
+            # Event handlers for Marketing Posts Generator Agent
+            mpga_model_dropdown.change(set_model, mpga_model_dropdown)
+            # mpga_run_btn.click(
+            #     run_crew_mpga,
+            #     inputs=[mpga_gemini_key, mpga_serper_key, {
+            #         "customer_domain": customer_domain,
+            #         "project_description": project_description
+            #     }],
+            #     outputs=[mpga_output, mpga_logs],
+            #     show_progress="full"
+            # )
+    gr.HTML(md.footer.format(github_logo_encoded, linkedin_logo_encoded, website_logo_encoded))
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()

markdown.py

@@ -1,4 +1,106 @@
-description='''Null'''
+description='''# 🤖 **AI Agents Suite: A Multi-Agent System for Content and Game Generation**
+
+## ✨ **Project Overview**
+The **AI Agents Suite** is a collection of intelligent agents designed to automate content generation, game development, and marketing content creation using advanced language models. This system utilizes **CrewAI**, **Gemini LLMs**, and **Serper API** to perform structured, high-quality content generation and game-building tasks.
+
+## 📃 **Key Components**
+### 1. **SEO Content Generator Agent**
+   - Generates **SEO-optimized articles** by researching topics and crafting high-quality content.
+   - Supports **online research** using **Serper API** for real-time data collection.
+   - Leverages **Gemini AI models** for efficient content writing.
+
+### 2. **Game Development Agent**
+   - Automates the process of **designing and developing games** using Python.
+   - Ensures **code quality** by integrating multiple levels of **quality control** through AI agents.
+   - Supports **multiple game genres**, including classic arcade, board games, and more.
+
+### 3. **Marketing Post Generator Agent (Future Integration)**
+   - Will create **engaging marketing content** tailored for different domains.
+   - Enables structured **campaign planning** for digital outreach.
+
+---
+
+## 🚀 **How the Application Works**
+The system is structured into **three main AI-driven agents** that interact through the **CrewAI** framework:
+
+### 🌟 **1. SEO Content Generator Agent**
+- Accepts a **topic** input from the user.
+- Performs **online research** if enabled.
+- Generates a **structured, SEO-optimized article**.
+
+#### **Workflow:**
+1. **User Inputs** topic and selects an **AI model**.
+2. AI **Research Agent** gathers insights from online sources (if enabled).
+3. AI **Content Writer Agent** drafts a **polished article**.
+4. Outputs a **ready-to-publish** SEO article.
+
+---
+
+### 🚀 **2. Game Development Agent**
+- Converts **game design instructions** into fully functional **Python game code**.
+- Implements **multi-step quality control** using dedicated agents.
+- Generates **error-free, optimized game logic**.
+
+#### **Workflow:**
+1. User provides **game design instructions**.
+2. **Senior Game Developer Agent** writes game logic.
+3. **QA Engineer Agent** inspects code for errors.
+4. **Chief QA Engineer Agent** ensures **game functionality**.
+5. Outputs **fully functional game code**.
+
+---
+
+### 👩‍💻 **Agents in Action**
+#### **SEO Content Generator Agents**
+- **Researcher Agent**: Collects data for SEO optimization.
+- **Content Writer Agent**: Creates structured articles based on research.
+
+#### **Game Development Agents**
+- **Senior Game Developer**: Writes Python game code based on input instructions.
+- **QA Engineer**: Identifies syntax errors, missing imports, and logic issues.
+- **Chief QA Engineer**: Ensures the game works correctly and optimally.
+
+---
+
+## 📅 **Usage Instructions**
+### 🌐 **SEO Content Generator**
+1. Select **AI Model** (e.g., Gemini Flash, Gemini Pro).
+2. Enter **Gemini API Key**.
+3. Choose **Online Search** (Yes/No).
+4. Provide a **topic**.
+5. Click **Generate Content**.
+
+### 🎮 **Game Development Agent**
+1. Select **AI Model**.
+2. Enter **Game Instructions**.
+3. Click **Generate Game Code**.
+
+---
+
+## 📈 **Supported AI Models**
+### **Gemini Models**
+- **Gemini-1.5-Flash** (Fastest Response)
+- **Gemini-1.5-Pro** (Balanced Performance)
+- **Gemini-Pro** (Most Accurate)
+
+---
+
+## 📄 **Project Benefits**
+- **Automated Content Generation**: Saves time by generating high-quality SEO articles.
+- **Efficient Game Development**: Automates coding and quality checks for Python games.
+- **Scalability**: Supports multiple AI models and frameworks.
+- **Future Expansion**: New AI-powered agents can be integrated for additional tasks.
+
+---
+
+## 🏆 **Future Enhancements**
+- **Marketing Post Generator** for social media campaigns.
+- **Integration with Cloud-Based AI models** for enhanced scalability.
+- **Support for additional Game Development tools** beyond Python.
+
+### 📚 **Get Started Today!**
+Explore the power of AI-driven automation and enhance your workflow with the **AI Agents Suite**!
+'''
 
 gemini_api_key = """
 ** STEP by STEP Guide for getting Gemini API key **:
@@ -35,6 +137,7 @@ This is the fastest and easiest method.
     *   **Terms of Service:**  By using the Gemini API, you agree to Google's Terms of Service.  It's a good idea to review these terms.
 """
 
+
 serper_api_key="""
 **Step-by-Step Guide to Getting a SERPER API Key**
 
@@ -70,4 +173,108 @@ serper_api_key="""
     * Terms of service : Go through terms of service.
 
 By following these steps, you should be able to obtain and start using your SERPER API key. Remember to consult the official documentation for the most up-to-date and detailed information.
+"""
+
+seo_content="""# CrewAI Content Generation Agent
+
+## Overview
+
+The provided Agent leverages the CrewAI framework to automate the process of generating SEO-optimized content. It integrates with the Gemini language model and optionally uses the SerperDevTool for online search capabilities.
+
+## Roles
+
+- **Online Research Specialist**: Conducts comprehensive research on the specified topic, focusing on SEO recommendations.
+- **Expert Content Writer**: Creates SEO-optimized content based on the research findings, ensuring high-quality and polished output.
+
+## Tasks
+
+- **Research Task**: Aggregates detailed information and SEO recommendations on the given topic.
+- **Writing Task**: Produces a polished, SEO-optimized article draft ready for publication.
+
+## Usage
+
+1. **Set Model**: Choose the desired Gemini model.
+2. **Configure API Keys**: Provide necessary API keys for Gemini and SerperDevTool.
+3. **Run Crew**: Execute the crew with the specified topic to generate content.
+
+## Features
+
+- **Model Selection**: Supports multiple Gemini language models for flexibility.
+- **API Configuration**: Manages API keys for Gemini and SerperDevTool.
+- **Agent Roles**: Defines specialized agents for research and content writing.
+- **Task Management**: Orchestrates sequential tasks for research and writing.
+- **Output**: Generates a polished article draft and detailed logs.
+
+## Benefits
+
+- **Efficiency**: Automates the content creation process, saving time and effort.
+- **Quality**: Ensures high-quality, SEO-optimized content.
+- **Flexibility**: Allows for easy integration of online search tools for enhanced research.
+
+Experience streamlined content generation with CrewAI's advanced automation capabilities."""
+
+game_dev = """# CrewAI Game Development Agent
+
+## Overview
+
+The provided code utilizes the CrewAI framework to automate the development and quality assurance process for creating games using Python. It leverages the Gemini language model to facilitate the tasks.
+
+## Roles
+
+- **Senior Game Developer**: Designs and develops engaging games based on provided instructions.
+- **Software Quality Control Engineer**: Reviews the code for errors, including syntax, logic, and security vulnerabilities.
+- **Chief Software Quality Control Engineer**: Ensures the code is complete and functions as intended.
+
+## Tasks
+
+- **Code Task**: Develops the game based on the given instructions.
+- **Review Task**: Checks the code for errors and vulnerabilities.
+- **Evaluate Task**: Ensures the code is complete and performs the intended functions.
+
+## Usage
+
+1. **Set Model**: Choose the desired Gemini model.
+2. **Configure API Keys**: Provide the necessary API key for Gemini.
+3. **Run Crew**: Execute the crew with the specified game instructions to generate the game code.
+
+## Features
+
+- **Model Selection**: Supports multiple Gemini language models for flexibility.
+- **API Configuration**: Manages API keys for Gemini.
+- **Agent Roles**: Defines specialized agents for game development and quality assurance.
+- **Task Management**: Orchestrates sequential tasks for coding, reviewing, and evaluating.
+- **Output**: Generates a complete Python game code and detailed logs.
+
+## Benefits
+
+- **Efficiency**: Automates the game development process, saving time and effort.
+- **Quality**: Ensures high-quality, error-free code.
+- **Flexibility**: Allows for easy integration of additional tools for enhanced functionality.
+
+Experience streamlined game development with CrewAI's advanced automation capabilities.
+"""
+
+footer = """
+<div style="background-color: #1d2938; color: white; padding: 10px; width: 100%; bottom: 0; left: 0; display: flex; justify-content: space-between; align-items: center; padding: .2rem 35px; box-sizing: border-box; font-size: 16px;">
+    <div style="text-align: left;">
+        <p style="margin: 0;">&copy; 2025 </p>
+    </div>
+    <div style="text-align: center; flex-grow: 1;">
+        <p style="margin: 0;">      This website is made with ❤ by SARATH CHANDRA</p>
+    </div>
+    <div class="social-links" style="display: flex; gap: 20px; justify-content: flex-end; align-items: center;">
+        <a href="https://github.com/21bq1a4210" target="_blank" style="text-align: center;">
+            <img src="data:image/png;base64,{}" alt="GitHub" width="40" height="40" style="display: block; margin: 0 auto;">
+            <span style="font-size: 14px;">GitHub</span>
+        </a>
+        <a href="https://www.linkedin.com/in/sarath-chandra-bandreddi-07393b1aa/" target="_blank" style="text-align: center;">
+            <img src="data:image/png;base64,{}" alt="LinkedIn" width="40" height="40" style="display: block; margin: 0 auto;">
+            <span style="font-size: 14px;">LinkedIn</span>
+        </a>
+        <a href="https://21bq1a4210.github.io/MyPortfolio-/" target="_blank" style="text-align: center;">
+            <img src="data:image/png;base64,{}" alt="Portfolio" width="40" height="40" style="display: block; margin-right: 40px;">
+            <span style="font-size: 14px;">Portfolio</span>
+        </a>
+    </div>
+</div>
 """