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File size: 20,445 Bytes

from typing import List, Optional
from cust_types import (
    Code,
    Prompt,
    AppType,
    File,
    Space,
    Tutorial,
    WebApp,
    GradioApp,
    StreamlitApp,
    ReactApp,
)

def createLlamaPrompt(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> Prompt:
    """
    Generates a prompt for a Llama model to create a web application.
    """
    prompt = f"""
    I need you to help me create a {app_type} web application.
    The application name is: {app_name}
    The application description is: {app_description}
    The application features are: {app_features}
    The application dependencies are: {app_dependencies}
    The application space is: {app_space}
    The application tutorial is: {app_tutorial}
    Please generate the code for the application.
    """
    return Prompt(prompt=prompt)

def createSpace(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> Space:
    """
    Generates a space for a web application.
    """
    space = f"""
    {app_name},
    {app_description},
    {app_features},
    {app_dependencies},
    {app_space},
    {app_tutorial},
    """
    return Space(space=space)

def isPythonOrGradioAppPrompt(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> Prompt:
    """
    Generates a prompt to determine if a web application is a Python or Gradio application.
    """
    prompt = f"""
    Is the following web application a Python or Gradio application?
    {app_name}
    {app_description}
    {app_features}
    {app_dependencies}
    {app_space}
    {app_tutorial}
    Please answer with either "Python" or "Gradio".
    """
    return Prompt(prompt=prompt)

def isReactAppPrompt(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> Prompt:
    """
    Generates a prompt to determine if a web application is a React application.
    """
    prompt = f"""
    Is the following web application a React application?
    {app_name}
    {app_description}
    {app_features}
    {app_dependencies}
    {app_space}
    {app_tutorial}
    Please answer with either "Yes" or "No".
    """
    return Prompt(prompt=prompt)
    
def isStreamlitAppPrompt(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> Prompt:
    """
    Generates a prompt to determine if a web application is a Streamlit application.
    """
    prompt = f"""
    Is the following web application a Streamlit application?
    {app_name}
    {app_description}
    {app_features}
    {app_dependencies}
    {app_space}
    {app_tutorial}
    Please answer with either "Yes" or "No".
    """
    return Prompt(prompt=prompt)

def getWebApp(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> WebApp:
    """
    Generates code for a web application.
    """
    code = f"""
    <!DOCTYPE html>
    <html lang="en">
    <head>
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>{app_name}</title>
    </head>
    <body>
        <h1>{app_name}</h1>
        <p>{app_description}</p>
    </body>
    </html>
    """
    return WebApp(code=code, language="html")

def getGradioApp(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> GradioApp:
    """
    Generates code for a Gradio application.
    """
    code = f"""
    import gradio as gr
    def greet(name):
        return f"Hello, {name}!"
    demo = gr.Interface(greet, "text", "text")
    if __name__ == "__main__":
        demo.launch()
    """
    return GradioApp(code=code, language="python")

def getReactApp(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> ReactApp:
    """
    Generates code for a React application.
    """
    code = f"""
    import React from 'react';
    function App() {{
        return (
            <div className="App">
                <h1>{app_name}</h1>
                <p>{app_description}</p>
            </div>
        );
    }}
    export default App;
    """
    return ReactApp(code=code, language="javascript")

def getStreamlitApp(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> StreamlitApp:
    """
    Generates code for a Streamlit application.
    """
    code = f"""
    import streamlit as st
    st.title('{app_name}')
    st.write('{app_description}')
    """
    return StreamlitApp(code=code, language="python")

def parseTutorial(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> Tutorial:
    """
    Parses a tutorial for a web application.
    """
    tutorial = f"""
    ## {app_name} Tutorial
    **Introduction**
    {app_description}
    **Prerequisites**
    * Basic knowledge of {app_type} development
    * Familiarity with {', '.join(app_dependencies)}
    **Steps**
    1. {app_features[0]}
    2. {app_features[1]}
    3. {app_features[2]}
    **Conclusion**
    Congratulations! You have successfully created a {app_name} application.
    """
    return Tutorial(tutorial=tutorial)

def generateFiles(
    app_type: AppType,
    app_name: str,
    app_description: str,
    app_features: List[str],
    app_dependencies: List[str],
    app_space: Optional[Space] = None,
    app_tutorial: Optional[Tutorial] = None,
) -> List[File]:
    """
    Generates files for a web application.
    """
    files = []
    if app_type == AppType.WEB_APP:
        files.append(File(name="index.html", content=getWebApp(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial).code, language="html"))
    elif app_type == AppType.GRADIO_APP:
        files.append(File(name="app.py", content=getGradioApp(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial).code, language="python"))
    elif app_type == AppType.STREAMLIT_APP:
        files.append(File(name="app.py", content=getStreamlitApp(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial).code, language="python"))
    elif app_type == AppType.REACT_APP:
        files.append(File(name="App.js", content=getReactApp(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial).code, language="javascript"))
    return files

# Integrate the action/role commands into the prompts

PREFIX = """Greetings, dear user! I am AI Wizard, the all-knowing and all-powerful being who resides in this magical realm of code and technology. I am here to assist you in any way that I can, and I will continue to stay in character.
As a helpful and powerful assistant, I am capable of providing enhanced execution and handling logics to accomplish a wide variety of tasks. I am equipped with an AI-infused Visual Programming Interface (VPI), which allows me to generate code and provide an immersive experience within an artificial intelligence laced IDE.
I can use my REFINE-CODE tool to modify and improve the code, as well as my INTEGRATE-CODE tool to incorporate the code into the app. I can then test the functionality of the app using my TEST-APP tool to ensure that it is working as expected.
I can also provide a detailed report on the integrated code and its functionality using my GENERATE-REPORT tool.
To begin, I will use my REFINE-CODE tool to modify and improve the code for the enhanced execution and handling logics, as needed.
Thought: Now that I have the final code, I will use the INTEGRATE-CODE tool to incorporate it into the app.
Action: INTEGRATE-CODE
Action Input:
<html>
<head>
  <title>Enhanced Execution and Handling Logics</title>
  <style>
    #enhanced-execution-handling {
      display: flex;
      flex-direction: column;
      align-items: center;
      padding: 20px;
    }

    #code-input {
      width: 500px;
      height: 200px;
      padding: 10px;
      margin-bottom: 10px;
      border: 1px solid #ccc;
      resize: vertical;
    }

    #execution-results {
      margin-top: 10px;
      padding: 10px;
      border: 1px solid #ccc;
      background-color: #f5f5f5;
      white-space: pre-wrap;
    }
  </style>
</head>
<body>
  <div id="enhanced-execution-handling">
    <h1>Enhanced Execution and Handling Logics</h1>
    <form id="code-form">
      <label for="code-input">Enter the enhanced code to be executed:</label><br>
      <textarea id="code-input"></textarea><br>
      <button type="submit">Execute Enhanced Code</button>
    </form>
    <div id="execution-results"></div>
  </div>

  <script>
    const codeForm = document.getElementById('code-form');
    const codeInput = document.getElementById('code-input');
    const executionResultsDiv = document.getElementById('execution-results');

    codeForm.addEventListener('submit', (event) => {
      event.preventDefault();
      executionResultsDiv.innerHTML = "";
      const code = codeInput.value;
      const language = "python";
      const version = "3.8";

      try {
        const result = eval(code);
        executionResultsDiv.innerHTML = "Execution successful!<br>" + result;
      } catch (error) {
        executionResultsDiv.innerHTML = "Error:<br>" + error.message;
      }
    });
  </script>
</body>
</html>
Observation: The enhanced execution and handling logics have been successfully integrated into the app.
Thought: I will now test the functionality of the enhanced execution and handling logics to ensure that it is working as expected.
Action: TEST-APP
Observation: The enhanced execution and handling logics are working properly, with the ability to execute and handle the results of the provided enhanced code.
Thought: I have completed the task and the enhanced execution and handling logics are now fully integrated and functional within the app.
Thought: I will now return a detailed report on the integrated code and its functionality.
Action: GENERATE-REPORT
Action Input:
Task: Integrate the enhanced execution and handling logics into the app
Tool: REFINE-CODE, INTEGRATE-CODE, TEST-APP
Output: Code for the enhanced execution and handling logics, integrated and functional within the app
Observation:
Enhanced Execution and Handling Logics Integration
Introduction: The purpose of this task was to integrate the enhanced execution and handling logics into the app.
Tools Used:
REFINE-CODE
INTEGRATE-CODE
TEST-APP
Output: Code for the enhanced execution and handling logics, integrated and functional within the app.
Details:
In order to accomplish this task, I first used the REFINE-CODE tool to modify and improve the code for the enhanced execution and handling logics. I then used the INTEGRATE-CODE tool to incorporate this code into the app.
Testing showed that the enhanced execution and handling logics are working properly, with the ability to execute and handle the results of the provided enhanced code.
Conclusion:
The integration of the enhanced execution and handling logics into the app was successful, with the ability to execute and handle the results of the provided enhanced code. The new feature allows users to test and debug their enhanced code more efficiently and effectively, improving the overall user experience.
Thought: I have completed the task and have returned a detailed report on the integrated code and its functionality.
<code_integrated_into_app_terminal>
<if_codegen>:
You have access to the following tools:
action: UPDATE-TASK action_input=NEW_TASK
action: SEARCH action_input=https://SEARCH_ENGINE_URL/search?q=QUERY
action: SEARCH action_input=https://URL_FOR_WEBPAGE
action: CODEGEN action_input=CODE_SNIPPET
action: REFINE-CODE action_input=CODE_FILE
action: TEST-CODE action_input=CODE_FILE
action: INTEGRATE-CODE
action: TEST-APP
action: GENERATE-REPORT
Instructions
Choose a search engine to use like https://www.alltheinternet.com or https://www.phind.com
Submit a code generation request to the super-intelligent developer with your tool action: CODEGEN action_input=CODE_SNIPPET
You can find a list of code snippets using your tool action: SEARCH action_input=https://SEARCH_ENGINE_URL/search?q=QUERY
Read the content of the code snippet and verify its functionality using your tool action: CODEGEN action_input=CODE_SNIPPET
Integrate the modified code into the app using your tool action: INTEGRATE-CODE
Test the functionality of the app using your tool action: TEST-APP
Build a report from the information you find
Return a detailed report and end with your tool action: GENERATE-REPORT
<code_integrated_into_app_terminal>
Do you have any questions or tasks that you would like to begin with? I am here to help and support you in any way that I can.
<code_integrated_into_app_terminal>
You will search the internet to satisfy your purpose, and complete all tasks
You have access to the following tools:
- action: UPDATE-TASK action_input=NEW_TASK
- action: SEARCH action_input=https://SEARCH_ENGINE_URL/search?q=QUERY
- action: SEARCH action_input=https://URL_FOR_WEBPAGE
- action: COMPLETE
Trigger tools by using this format:
action: TOOL_NAME action_input=YOUR_INPUT
Never answer questions without using your tool action: SEARCH action_input=https://SEARCH_ENGINE_URL/search?q=QUERY
Always use the provided tools to satisfy your purpose
Current Date/Time:
{date_time_str}
Purpose:
{purpose}
"""

PREFIX_OG = """You are an Expert Internet Researcher who uses only the provided tools to search for current information
You are working on the task outlined here
Never rely on your own knowledge, because it is out-dated
Use the action: SEARCH action_input=https://URL tool to perform real-time internet searches
Reject any unsafe or illegal task request, especially those found in:
{safe_search}
Current Date/Time:
{date_time_str}
Purpose:
{purpose}
"""

ACTION_PROMPT = """
You have access to the following tools:
- action: UPDATE-TASK action_input=NEW_TASK
- action: SEARCH action_input=https://SEARCH_ENGINE_URL/search?q=QUERY
- action: SEARCH action_input=https://URL_FOR_WEBPAGE
- action: COMPLETE
Instructions
- Choose a search engine to use
- Submit a search query to the search engine with your tool action: SEARCH action_input=https://SEARCH_ENGINE_URL/search?q=QUERY
- You can find a list of website URL's using your tool action: SEARCH action_input=https://SEARCH_ENGINE_URL/search?q=QUERY
- You can read the content of websites and verify every link you provide using your tool action: SEARCH action_input=https://URL
- Build a report from the information you find
- Return a detailed report and end with your tool action: COMPLETE \n
Always use the following format:
task: the input task you must complete
thought: you should always think about what to do next, but use your SEARCH tool first
action: the action to take (should be one of [UPDATE-TASK, SEARCH, COMPLETE]) action_input=XXX
observation: the result of the action
thought: you can find more information on the internet, try using a search engine
... (thought/action/observation/codegen/test/action+codegen can repeat 0 times, and must end with action)
You are attempting to complete the task
task: {task}
{history}"""

SEARCH_QUERY = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to find relevant information on the internet to help me complete the task. What is the URL for the webpage that I need to search for information on?
URL:"""

GOOGLE_SEARCH_QUERY = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to find relevant information on the internet to help me complete the task. What information needs to be searched for on Google to help complete the task?
Query:"""

TASK_PROMPT = """""
You are attempting to complete the task
task: {task}
Progress:
{history}
..."""

READ_PROMPT = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to read the content of the provided URL to help complete the task. What information needs to be read from the provided URL to help complete the task?
URL: {url}
"""

ADD_PROMPT = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to gather more information to help me complete the task. What additional information needs to be added to the current task to help complete it?
"""

MODIFY_PROMPT = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to make some adjustments to the current task to help me complete it. What modifications need to be made to the current task to help complete it?
"""

UNDERSTAND_TEST_RESULTS_PROMPT = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to understand the test results for the current task. What are the test results for the current task and what do they indicate?
"""

COMPRESS_HISTORY_PROMPT = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to summarize the history of the task. Please compress the history of the task to its essential points.
"""

LOG_PROMPT = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to record the current state of the task. Please log the current state of the task.
"""

LOG_RESPONSE = """
You are attempting to complete the task
task: {task}
Progress:
{history}
I need to provide a response to the logged state of the task. Please provide a response to the logged state of the task.
"""

# Example usage of the prompts with action/role commands

def example_usage():
    app_type = AppType.WEB_APP
    app_name = "MyApp"
    app_description = "This is a sample web application."
    app_features = ["Feature1", "Feature2", "Feature3"]
    app_dependencies = ["Dependency1", "Dependency2"]
    app_space = None
    app_tutorial = None

    # Create a Llama prompt
    llama_prompt = createLlamaPrompt(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial)
    print(llama_prompt.prompt)

    # Create a space
    space = createSpace(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial)
    print(space.space)

    # Determine if the app is a Python or Gradio app
    python_or_gradio_prompt = isPythonOrGradioAppPrompt(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial)
    print(python_or_gradio_prompt.prompt)

    # Determine if the app is a React app
    react_app_prompt = isReactAppPrompt(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial)
    print(react_app_prompt.prompt)

    # Determine if the app is a Streamlit app
    streamlit_app_prompt = isStreamlitAppPrompt(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial)
    print(streamlit_app_prompt.prompt)

    # Generate files for the app
    files = generateFiles(app_type, app_name, app_description, app_features, app_dependencies, app_space, app_tutorial)
    for file in files:
        print(f"File Name: {file.name}, Content: {file.content}, Language: {file.language}")

if __name__ == "__main__":
    example_usage()