DevToolKit / app.py
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import streamlit as st
from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer, RagRetriever, AutoModelForSeq2SeqLM
import os
import subprocess
import black
from pylint import lint
from io import StringIO
import sys
import torch
from huggingface_hub import hf_hub_url, cached_download, HfApi
# Access Hugging Face API key from secrets
hf_token = st.secrets["secrets"]["hf_token"]
if not hf_token:
st.error("Hugging Face API key not found. Please make sure it is set in the secrets.")
HUGGING_FACE_REPO_URL = "https://huggingface.co/spaces/acecalisto3/DevToolKit"
PROJECT_ROOT = "projects"
AGENT_DIRECTORY = "agents"
AVAILABLE_CODE_GENERATIVE_MODELS = ["bigcode/starcoder", "Salesforce/codegen-350M-mono", "microsoft/CodeGPT-small"]
# Global state to manage communication between Tool Box and Workspace Chat App
if 'chat_history' not in st.session_state:
st.session_state.chat_history = []
if 'terminal_history' not in st.session_state:
st.session_state.terminal_history = []
if 'workspace_projects' not in st.session_state:
st.session_state.workspace_projects = {}
if 'available_agents' not in st.session_state:
st.session_state.available_agents = []
# AI Guide Toggle
ai_guide_level = st.sidebar.radio("AI Guide Level", ["Full Assistance", "Partial Assistance", "No Assistance"])
class AIAgent:
def __init__(self, name, description, skills):
self.name = name
self.description = description
self.skills = skills
def create_agent_prompt(self):
skills_str = '\n'.join([f"* {skill}" for skill in self.skills])
agent_prompt = f"""
As an elite expert developer, my name is {self.name}. I possess a comprehensive understanding of the following areas:
{skills_str}
I am confident that I can leverage my expertise to assist you in developing and deploying cutting-edge web applications. Please feel free to ask any questions or present any challenges you may encounter.
"""
return agent_prompt
def autonomous_build(self, chat_history, workspace_projects, project_name, selected_model, hf_token):
summary = "Chat History:\n" + "\n".join([f"User: {u}\nAgent: {a}" for u, a in chat_history])
summary += "\n\nWorkspace Projects:\n" + "\n".join([f"{p}: {details}" for p, details in workspace_projects.items()])
next_step = "Based on the current state, the next logical step is to implement the main application logic."
return summary, next_step
def deploy_built_space_to_hf(self):
pass
def process_input(input_text):
chatbot = pipeline("text-generation", model="microsoft/DialoGPT-medium", tokenizer="microsoft/DialoGPT-medium")
response = chatbot(input_text, max_length=50, num_return_sequences=1)[0]['generated_text']
return response
def run_code(code):
try:
result = subprocess.run(code, shell=True, capture_output=True, text=True)
return result.stdout
except Exception as e:
return str(e)
def workspace_interface(project_name):
project_path = os.path.join(PROJECT_ROOT, project_name)
if not os.path.exists(project_path):
os.makedirs(project_path)
st.session_state.workspace_projects[project_name] = {'files': []}
return f"Project '{project_name}' created successfully."
else:
return f"Project '{project_name}' already exists."
def add_code_to_workspace(project_name, code, file_name):
project_path = os.path.join(PROJECT_ROOT, project_name)
if not os.path.exists(project_path):
return f"Project '{project_name}' does not exist."
file_path = os.path.join(project_path, file_name)
with open(file_path, "w") as file:
file.write(code)
st.session_state.workspace_projects[project_name]['files'].append(file_name)
return f"Code added to '{file_name}' in project '{project_name}'."
def display_chat_history(chat_history):
return "\n".join([f"User: {u}\nAgent: {a}" for u, a in chat_history])
def display_workspace_projects(workspace_projects):
return "\n".join([f"{p}: {details}" for p, details in workspace_projects.items()])
if __name__ == "__main__":
st.sidebar.title("Navigation")
app_mode = st.sidebar.selectbox("Choose the app mode", ["Home", "Terminal", "Explorer", "Code Editor", "Build & Deploy"])
if app_mode == "Home":
st.title("Welcome to AI-Guided Development")
st.write("This application helps you build and deploy applications with the assistance of an AI Guide.")
st.write("Toggle the AI Guide from the sidebar to choose the level of assistance you need.")
elif app_mode == "Terminal":
st.header("Terminal")
terminal_input = st.text_input("Enter a command:")
if st.button("Run"):
output = run_code(terminal_input)
st.session_state.terminal_history.append((terminal_input, output))
st.code(output, language="bash")
if ai_guide_level != "No Assistance":
st.write("Run commands here to add packages to your project. For example: `pip install <package-name>`.")
if terminal_input and "install" in terminal_input:
package_name = terminal_input.split("install")[-1].strip()
st.write(f"Package `{package_name}` will be added to your project.")
elif app_mode == "Explorer":
st.header("Explorer")
uploaded_file = st.file_uploader("Upload a file", type=["py"])
if uploaded_file:
file_details = {"FileName": uploaded_file.name, "FileType": uploaded_file.type}
st.write(file_details)
save_path = os.path.join(PROJECT_ROOT, uploaded_file.name)
with open(save_path, "wb") as f:
f.write(uploaded_file.getbuffer())
st.success(f"File {uploaded_file.name} saved successfully!")
st.write("Drag and drop files into the 'app' folder.")
for project, details in st.session_state.workspace_projects.items():
st.write(f"Project: {project}")
for file in details['files']:
st.write(f" - {file}")
if st.button(f"Move {file} to app folder"):
# Logic to move file to 'app' folder
pass
if ai_guide_level != "No Assistance":
st.write("You can upload files and move them into the 'app' folder for building your application.")
elif app_mode == "Code Editor":
st.header("Code Editor")
code_editor = st.text_area("Write your code:", height=300)
if st.button("Save Code"):
# Logic to save code
pass
if ai_guide_level != "No Assistance":
st.write("The function `foo()` requires the `bar` package. Add it to `requirements.txt`.")
elif app_mode == "Build & Deploy":
st.header("Build & Deploy")
project_name_input = st.text_input("Enter Project Name for Automation:")
if st.button("Automate"):
selected_agent = st.selectbox("Select an AI agent", st.session_state.available_agents)
selected_model = st.selectbox("Select a code-generative model", AVAILABLE_CODE_GENERATIVE_MODELS)
agent = AIAgent(selected_agent, "", []) # Load the agent without skills for now
summary, next_step = agent.autonomous_build(st.session_state.chat_history, st.session_state.workspace_projects, project_name_input, selected_model, hf_token)
st.write("Autonomous Build Summary:")
st.write(summary)
st.write("Next Step:")
st.write(next_step)
if agent._hf_api and agent.has_valid_hf_token():
repository = agent.deploy_built_space_to_hf()
st.markdown("## Congratulations! Successfully deployed Space πŸš€ ##")
st.markdown("[Check out your new Space here](hf.co/" + repository.name + ")")
# CSS for styling
st.markdown("""
<style>
/* Advanced and Accommodating CSS */
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background-color: #f4f4f9;
color: #333;
margin: 0;
padding: 0;
}
h1, h2, h3, h4, h5, h6 {
color: #333;
}
.container {
width: 90%;
margin: 0 auto;
padding: 20px;
}
/* Navigation Sidebar */
.sidebar {
background-color: #2c3e50;
color: #ecf0f1;
padding: 20px;
height: 100vh;
position: fixed;
top: 0;
left: 0;
width: 250px;
overflow-y: auto;
}
.sidebar a {
color: #ecf0f1;
text-decoration: none;
display: block;
padding: 10px 0;
}
.sidebar a:hover {
background-color: #34495e;
border-radius: 5px;
}
/* Main Content */
.main-content {
margin-left: 270px;
padding: 20px;
}
/* Buttons */
button {
background-color: #3498db;
color: #fff;
border: none;
padding: 10px 20px;
border-radius: 5px;
cursor: pointer;
font-size: 16px;
}
button:hover {
background-color: #2980b9;
}
/* Text Areas and Inputs */
textarea, input[type="text"] {
width: 100%;
padding: 10px;
margin: 10px 0;
border: 1px solid #ddd;
border-radius: 5px;
box-sizing: border-box;
}
textarea:focus, input[type="text"]:focus {
border-color: #3498db;
outline: none;
}
/* Terminal Output */
.code-output {
background-color: #1e1e1e;
color: #dcdcdc;
padding: 20px;
border-radius: 5px;
font-family: 'Courier New', Courier, monospace;
}
/* Chat History */
.chat-history {
background-color: #ecf0f1;
padding: 20px;
border-radius: 5px;
max-height: 300px;
overflow-y: auto;
}
.chat-message {
margin-bottom: 10px;
}
.chat-message.user {
text-align: right;
color: #3498db;
}
.chat-message.agent {
text-align: left;
color: #e74c3c;
}
/* Project Management */
.project-list {
background-color: #ecf0f1;
padding: 20px;
border-radius: 5px;
max-height: 300px;
overflow-y: auto;
}
.project-item {
margin-bottom: 10px;
}
.project-item a {
color: #3498db;
text-decoration: none;
}
.project-item a:hover {
text-decoration: underline;
}
</style>
""", unsafe_allow_html=True)