Spaces:
Running
Running
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 π ##") | |
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) |