SimplifAI / app.py
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import streamlit as st
import sqlite3
import hashlib
import os
import google.generativeai as genai
import zipfile
from git import Repo
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
import requests
# Database setup
DB_FILE = "users.db"
def create_user_table():
conn = sqlite3.connect(DB_FILE)
cursor = conn.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS users (
username TEXT PRIMARY KEY,
password TEXT
)
""")
conn.commit()
conn.close()
def add_user(username, password):
conn = sqlite3.connect(DB_FILE)
cursor = conn.cursor()
hashed_password = hashlib.sha256(password.encode()).hexdigest()
try:
cursor.execute("INSERT INTO users (username, password) VALUES (?, ?)", (username, hashed_password))
conn.commit()
except sqlite3.IntegrityError:
st.error("Username already exists. Please choose a different username.")
conn.close()
def authenticate_user(username, password):
conn = sqlite3.connect(DB_FILE)
cursor = conn.cursor()
hashed_password = hashlib.sha256(password.encode()).hexdigest()
cursor.execute("SELECT * FROM users WHERE username = ? AND password = ?", (username, hashed_password))
user = cursor.fetchone()
conn.close()
return user
def initialize_session_state():
if "authenticated" not in st.session_state:
st.session_state.authenticated = False
if "username" not in st.session_state:
st.session_state.username = None
if "page" not in st.session_state:
st.session_state.page = "login"
if "current_project" not in st.session_state:
st.session_state.current_project = None
if "project_uploaded" not in st.session_state:
st.session_state.project_uploaded = False
def main():
st.title("SimplifAI")
# Initialize session state
initialize_session_state()
# Initialize database
create_user_table()
# Page routing logic
if st.session_state.page == "login":
login_page()
elif st.session_state.page == "workspace":
workspace_page()
elif st.session_state.page == "project_view":
project_view_page()
elif st.session_state.page == "generate_documentation":
generate_documentation_page()
elif st.session_state.page == "view_documentation":
view_documentation_page()
def login_page():
st.subheader("Please Log In or Register to Continue")
auth_mode = st.radio("Choose an Option", ["Log In", "Register"], horizontal=True)
if auth_mode == "Log In":
st.subheader("Log In")
username = st.text_input("Username", key="login_username")
password = st.text_input("Password", type="password", key="login_password")
# Handle single-click login
if st.button("Log In"):
if authenticate_user(username, password):
st.session_state.authenticated = True
st.session_state.username = username
st.session_state.page = "workspace"
else:
st.error("Invalid username or password. Please try again.")
elif auth_mode == "Register":
st.subheader("Register")
username = st.text_input("Create Username", key="register_username")
password = st.text_input("Create Password", type="password", key="register_password")
# Handle single-click registration
if st.button("Register"):
if username and password:
add_user(username, password)
st.success("Account created successfully! You can now log in.")
else:
st.error("Please fill in all fields.")
def workspace_page():
# Sidebar with logout button
st.sidebar.title(f"Hello, {st.session_state.username}!")
if st.sidebar.button("Log Out"):
st.session_state.authenticated = False
st.session_state.username = None
st.session_state.page = "login"
# User's folder for projects
user_folder = os.path.join("user_projects", st.session_state.username)
os.makedirs(user_folder, exist_ok=True)
# Refresh project list dynamically
projects = [d for d in os.listdir(user_folder) if os.path.isdir(os.path.join(user_folder, d))]
# Display "Projects" dropdown
selected_project = st.sidebar.selectbox("Projects", ["Select a project"] + projects)
if selected_project != "Select a project":
st.session_state.current_project = selected_project
st.session_state.page = "project_view"
st.rerun()
# Display success message if a project was uploaded
if st.session_state.project_uploaded:
st.success(f"Project '{st.session_state.current_project}' uploaded successfully!")
st.session_state.project_uploaded = False # Reset after showing the message
# Main content area
st.subheader("Workspace")
st.write("You can create a new project by uploading files or folders, or by cloning a GitHub repository.")
# Existing upload functionality...
# User action selection
action = st.radio("Choose an action", ["Upload Files or Folders", "Clone GitHub Repository"], horizontal=True)
project_name = st.text_input("Enter a project name")
if action == "Upload Files or Folders":
st.subheader("Upload Files or Folders")
uploaded_files = st.file_uploader(
"Upload one or more files or a .zip archive for folders", accept_multiple_files=True
)
if uploaded_files and project_name:
if st.button("Upload Project"):
project_folder = os.path.join(user_folder, project_name)
os.makedirs(project_folder, exist_ok=True)
for uploaded_file in uploaded_files:
# Save uploaded .zip files or regular files
file_path = os.path.join(project_folder, uploaded_file.name)
with open(file_path, "wb") as f:
f.write(uploaded_file.getbuffer())
# If a .zip file is uploaded, extract its contents
if uploaded_file.name.endswith(".zip"):
try:
with zipfile.ZipFile(file_path, "r") as zip_ref:
zip_ref.extractall(project_folder)
os.remove(file_path) # Remove the .zip file after extraction
st.success(f"Folder from {uploaded_file.name} extracted successfully!")
except zipfile.BadZipFile:
st.error(f"File {uploaded_file.name} is not a valid .zip file.")
else:
st.success(f"File {uploaded_file.name} saved successfully!")
# Update session state and trigger a rerun
st.session_state.current_project = project_name
st.session_state.project_uploaded = True
st.rerun()
elif action == "Clone GitHub Repository":
st.subheader("Clone GitHub Repository")
repo_url = st.text_input("Enter the GitHub repository URL")
if repo_url and project_name:
if st.button("Upload Project"):
project_folder = os.path.join(user_folder, project_name)
os.makedirs(project_folder, exist_ok=True)
try:
Repo.clone_from(repo_url, project_folder)
# Update session state and trigger a rerun
st.session_state.current_project = project_name
st.session_state.project_uploaded = True
st.rerun()
except Exception as e:
st.error(f"Failed to clone repository: {e}")
#------------------------------------------------------------------------------------------------------------------------------------------------------------------------
# Configure Gemini API
gemini = os.getenv("GEMINI")
genai.configure(api_key=gemini)
model = genai.GenerativeModel("gemini-1.5-flash")
def read_project_files(project_path):
"""Reads all files in the project directory and its subdirectories."""
file_paths = []
for root, _, files in os.walk(project_path):
for file in files:
# Skip .git files or folders from GitHub clones
if ".git" not in root:
file_paths.append(os.path.join(root, file))
return file_paths
def read_files(file_paths):
"""Reads content from a list of file paths."""
file_contents = {}
for file_path in file_paths:
if os.path.exists(file_path):
try:
# Attempt to read the file as UTF-8
with open(file_path, 'r', encoding='utf-8') as file:
file_contents[file_path] = file.read()
except UnicodeDecodeError:
print(f"Skipping binary or non-UTF-8 file: {file_path}")
else:
print(f"File not found: {file_path}")
return file_contents
def generate_prompt(file_contents, functionality_description):
"""Generates a prompt for Gemini to analyze the files."""
prompt = "Analyze the following code files to identify all functions required to implement the functionality: "
prompt += f"'{functionality_description}'.\n\n"
for file_path, content in file_contents.items():
prompt += f"File: {os.path.basename(file_path)}\n{content}\n\n"
prompt += "If the functionality does not exist in the project, return 'Functionality does not exist.', otherwise, for each relevant function, provide:\n"
prompt += "1. Which file the function is found in.\n"
prompt += "2. The function name.\n"
prompt += "3. Dependencies on other functions or modules.\n"
prompt += "Also, return a more clear version of the user entered functionality at the top of your response. Provide no commentary, just what has been asked please."
return prompt
def identify_required_functions(project_path, functionality_description):
"""Identifies required functions for a specified functionality."""
# Gather all file paths in the project directory
file_paths = read_project_files(project_path)
# Read file contents
file_contents = read_files(file_paths)
# Generate a refined prompt for Gemini
prompt = generate_prompt(file_contents, functionality_description)
# Call the Gemini model
response = model.generate_content(prompt)
# Process and return the response
return response.text
def split_into_chunks(content, chunk_size=1000):
"""Splits large content into smaller chunks."""
return [content[i:i + chunk_size] for i in range(0, len(content), chunk_size)]
# Hugging Face Inference API endpoint for the model
API_URL = "https://api-inference.huggingface.co/models/Qwen/Qwen2.5-Coder-32B-Instruct"
qwen = os.getenv("QWEN")
headers = {"Authorization": f"Bearer {qwen}"}
def clean_output(output):
"""
Cleans the output from the Hugging Face model to ensure no unnecessary details are included.
"""
# Remove any remnants of prompts or file content (heuristically clean up known patterns)
lines = output.splitlines()
filtered_lines = [
line for line in lines if not (
line.startswith("File:") or
line.startswith("User-specified functionality:") or
line.startswith("Functions identified by Gemini:") or
line.strip() == ""
)
]
return "\n".join(filtered_lines)
def validate_and_generate_documentation(api_url, headers, gemini_output, file_contents, functionality_description):
"""
Uses the Hugging Face Inference API to validate functions and generate documentation.
Ensures that the output excludes file content and internal prompts.
"""
# Generate the prompt for the Qwen model
prompt = f"""
User-specified functionality: '{functionality_description}'
Functions identified by Gemini:
{gemini_output}
Task:
1. Validate if the functions identified by Gemini are sufficient for implementing the functionality.
2. If not, identify all additional functions required.
3. For all relevant functions, generate detailed documentation in this format:
Project Summary:
<Include project description and dependencies>
Functionality Summary:
<Description of user-specified functionality>
Functionality Flow:
<Explain the sequence of functions and data flow>
Function Documentation:
For each relevant function:
- Summary: <Description of the function's purpose>
- Inputs: <Details of inputs and their types>
- Outputs: <Details of outputs and their types>
- Dependencies: <Dependencies on other modules/functions>
- Data structures: <Details of data structures used>
- Algorithmic Details: <Description of the algorithm used in the function>
- Error Handling: <Description of how the function handles errors>
- Assumptions: <Any assumptions the function makes>
- Example Usage: <Example demonstrating how to use the function>
"""
# Send the prompt to the Hugging Face API
payload = {"inputs": prompt}
response = requests.post(api_url, headers=headers, json=payload)
# Handle the API response
if response.status_code == 200:
api_response = response.json()
if isinstance(api_response, list): # If response is a list, extract the first element
output = api_response[0].get("generated_text", "No output generated.")
elif isinstance(api_response, dict): # Handle dict response
output = api_response.get("generated_text", "No output generated.")
else:
raise ValueError("Unexpected response format from Hugging Face API.")
# Clean the output to exclude any file contents or prompts
cleaned_output = clean_output(output)
return cleaned_output
else:
raise ValueError(f"Error: {response.status_code}, {response.text}")
def generate_documentation_page():
st.subheader(f"Generate Documentation for {st.session_state.current_project}")
st.write("Enter the functionality or parts of the project for which you'd like to identify relevant functions.")
# Prompt user for functionality description
functionality = st.text_area("Describe the functionality", placeholder="e.g., Explain the function of the file `main.py`")
# Button to start analyzing functionality
if st.button("Analyze"):
if functionality.strip():
st.write("Analyzing project files... Please wait.")
# Get the path of the current project
user_folder = os.path.join("user_projects", st.session_state.username)
project_folder = os.path.join(user_folder, st.session_state.current_project)
if os.path.exists(project_folder):
try:
# Call Gemini to identify required functions
gemini_result = identify_required_functions(project_folder, functionality)
# Read project files
file_paths = read_project_files(project_folder)
file_contents = read_files(file_paths)
# Call the Hugging Face API for validation and documentation
final_documentation = validate_and_generate_documentation(
API_URL, headers, gemini_result, file_contents, functionality
)
# Display the final documentation
st.success("Documentation generated successfully!")
st.text_area("Generated Documentation", final_documentation, height=600)
except Exception as e:
st.error(f"An error occurred: {e}")
else:
st.error("Project folder not found. Ensure the GitHub repository was cloned successfully.")
else:
st.error("Please enter the functionality to analyze.")
# Button to navigate back to the project page
if st.button("Back to Project"):
st.session_state.page = "project_view"
st.rerun()
#------------------------------------------------------------------------------------------------------------------------------------------------------------------------
def view_documentation_page():
st.subheader(f"View Documentation for {st.session_state.current_project}")
st.write("This page will display the generated documentation for the selected project.")
if st.button("Back to Project"):
st.session_state.page = "project_view"
st.rerun()
def project_view_page():
# Sidebar with logout and return buttons
st.sidebar.title(f"Project: {st.session_state.current_project}")
if st.sidebar.button("Back to Workspace"):
st.session_state.page = "workspace"
st.rerun()
if st.sidebar.button("Log Out"):
st.session_state.authenticated = False
st.session_state.username = None
st.session_state.page = "login"
st.rerun()
# Main content for project page
st.subheader(f"Project: {st.session_state.current_project}")
st.write("Manage your project and explore its files.")
# Buttons for documentation functionality
if st.button("Generate Documentation"):
st.session_state.page = "generate_documentation"
st.rerun()
if st.button("View Documentation"):
st.session_state.page = "view_documentation"
st.rerun()
# Toggle file structure display (if required)
if "show_file_structure" not in st.session_state:
st.session_state.show_file_structure = False
if st.button("Show File Structure"):
st.session_state.show_file_structure = not st.session_state.show_file_structure
if st.session_state.show_file_structure:
user_folder = os.path.join("user_projects", st.session_state.username)
project_folder = os.path.join(user_folder, st.session_state.current_project)
st.write("File structure:")
for root, dirs, files in os.walk(project_folder):
level = root.replace(project_folder, "").count(os.sep)
indent = " " * 4 * level
if level == 0:
st.write(f"πŸ“‚ {os.path.basename(root)}")
else:
with st.expander(f"{indent}πŸ“‚ {os.path.basename(root)}"):
sub_indent = " " * 4 * (level + 1)
for file in files:
st.write(f"{sub_indent}πŸ“„ {file}")
if __name__ == "__main__":
main()