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Update agent.py
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agent.py
CHANGED
@@ -1,112 +1,433 @@
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import os
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import subprocess
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import random
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if __name__ == "__main__":
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code = """<html>
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<head>
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<title>Enhanced Execution and Handling Logics</title>
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<style>
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#enhanced-execution-handling {
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display: flex;
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flex-direction: column;
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align-items: center;
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padding: 20px;
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}
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#code-input {
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width: 500px;
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height: 200px;
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padding: 10px;
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margin-bottom: 10px;
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border: 1px solid #ccc;
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resize: vertical;
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}
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#execution-results {
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margin-top: 10px;
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padding: 10px;
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border: 1px solid #ccc;
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background-color: #f5f5f5;
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white-space: pre-wrap;
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}
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</style>
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</head>
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<body>
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<div id="enhanced-execution-handling">
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<h1>Enhanced Execution and Handling Logics</h1>
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<form id="code-form">
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<label for="code-input">Enter the enhanced code to be executed:</label><br>
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<textarea id="code-input"></textarea><br>
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<button type="submit">Execute Enhanced Code</button>
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</form>
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<div id="execution-results"></div>
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</div>
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<script>
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const codeForm = document.getElementById('code-form');
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const codeInput = document.getElementById('code-input');
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const executionResultsDiv = document.getElementById('execution-results');
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codeForm.addEventListener('submit', (event) => {
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event.preventDefault();
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executionResultsDiv.innerHTML = "";
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const code = codeInput.value;
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const language = "python";
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const version = "3.8";
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try {
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const result = eval(code);
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executionResultsDiv.innerHTML = "Execution successful!<br>" + result;
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} catch (error) {
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executionResultsDiv.innerHTML = "Error:<br>" + error.message;
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}
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});
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</script>
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</body>
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</html>"""
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-
ai_assistant.assist(code)
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```python
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import os
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3 |
import subprocess
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import random
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import time
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from typing import Dict, List, Tuple
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from datetime import datetime
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import logging
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, huggingface_hub
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from huggingface_hub import InferenceClient, cached_download, Repository, HfApi
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from IPython.display import display, HTML
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import streamlit.components.v1 as components
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import tempfile
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import shutil
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# --- Configuration ---
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VERBOSE = True
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MAX_HISTORY = 5
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MAX_TOKENS = 2048
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TEMPERATURE = 0.7
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TOP_P = 0.8
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REPETITION_PENALTY = 1.5
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DEFAULT_PROJECT_PATH = "./my-hf-project" # Default project directory
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# --- Logging Setup ---
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logging.basicConfig(
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filename="app.log",
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level=logging.INFO,
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format="%(asctime)s - %(levelname)s - %(message)s",
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)
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# --- Global Variables ---
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current_model = None # Store the currently loaded model
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repo = None # Store the Hugging Face Repository object
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model_descriptions = {} # Store model descriptions
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project_path = DEFAULT_PROJECT_PATH # Default project path
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# --- Functions ---
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def load_model(model_name: str):
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"""Loads a language model and fetches its description."""
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global current_model, model_descriptions
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try:
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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current_model = pipeline(
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"text-generation",
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model=model_name,
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tokenizer=tokenizer,
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model_kwargs={"load_in_8bit": True},
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)
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# Fetch and store the model description
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api = HfApi()
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model_info = api.model_info(model_name)
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model_descriptions[model_name] = model_info.pipeline_tag
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return f"Successfully loaded model: {model_name}"
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except Exception as e:
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return f"Error loading model: {str(e)}"
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+
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+
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def run_command(command: str, project_path: str = None) -> str:
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"""Executes a shell command and returns the output."""
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try:
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if project_path:
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process = subprocess.Popen(
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command,
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shell=True,
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cwd=project_path,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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)
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else:
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process = subprocess.Popen(
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command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE
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)
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output, error = process.communicate()
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if error:
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return f"""Error: {error.decode('utf-8')}"""
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return output.decode("utf-8")
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except Exception as e:
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return f"""Error executing command: {str(e)}"""
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def create_project(project_name: str, project_path: str = DEFAULT_PROJECT_PATH):
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"""Creates a new Hugging Face project."""
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global repo, project_path
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try:
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if os.path.exists(project_path):
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return f"""Error: Directory '{project_path}' already exists!"""
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# Create the repository
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repo = Repository(local_dir=project_path, clone_from=None)
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repo.git_init()
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# Add basic files (optional, can customize this)
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with open(os.path.join(project_path, "README.md"), "w") as f:
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f.write(f"{project_name}\n\nA new Hugging Face project.")
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# Stage all changes
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repo.git_add(pattern="*")
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repo.git_commit(commit_message="Initial commit")
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project_path = os.path.join(project_path, project_name) # Update project path
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return f"""Hugging Face project '{project_name}' created successfully at '{project_path}'"""
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except Exception as e:
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return f"""Error creating Hugging Face project: {str(e)}"""
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def list_files(project_path: str = DEFAULT_PROJECT_PATH) -> str:
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"""Lists files in the project directory."""
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try:
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files = os.listdir(project_path)
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if not files:
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return "Project directory is empty."
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return "\n".join(files)
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except Exception as e:
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return f"""Error listing project files: {str(e)}"""
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def read_file(file_path: str, project_path: str = DEFAULT_PROJECT_PATH) -> str:
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"""Reads and returns the content of a file in the project."""
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try:
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full_path = os.path.join(project_path, file_path)
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with open(full_path, "r") as f:
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content = f.read()
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return content
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except Exception as e:
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return f"""Error reading file: {str(e)}"""
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def write_file(file_path: str, content: str, project_path: str = DEFAULT_PROJECT_PATH):
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"""Writes content to a file in the project."""
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try:
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full_path = os.path.join(project_path, file_path)
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with open(full_path, "w") as f:
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f.write(content)
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return f"Successfully wrote to '{full_path}'"
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except Exception as e:
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return f"""Error writing to file: {str(e)}"""
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def preview(project_path: str = DEFAULT_PROJECT_PATH):
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"""Provides a preview of the project, if applicable."""
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# Assuming a simple HTML preview for now
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try:
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index_html_path = os.path.join(project_path, "index.html")
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if os.path.exists(index_html_path):
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with open(index_html_path, "r") as f:
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146 |
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html_content = f.read()
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display(HTML(html_content))
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148 |
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return "Previewing 'index.html'"
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else:
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return "No 'index.html' found for preview."
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except Exception as e:
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return f"""Error previewing project: {str(e)}"""
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def generate_response(
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message: str,
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157 |
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history: List[Tuple[str, str]],
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agent_name: str,
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sys_prompt: str,
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temperature: float,
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max_new_tokens: int,
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top_p: float,
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repetition_penalty: float,
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) -> str:
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"""Generates a response using the loaded model."""
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if not current_model:
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return "Please load a model first."
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conversation = [{"role": "system", "content": sys_prompt}]
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for message, response in history:
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conversation.append({"role": "user", "content": message})
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conversation.append({"role": "assistant", "content": response})
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conversation.append({"role": "user", "content": message})
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response = current_model.generate(
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conversation,
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max_new_tokens=max_new_tokens,
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temperature=temperature,
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top_p=top_p,
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repetition_penalty=repetition_penalty,
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)
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return response.text.strip()
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181 |
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182 |
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183 |
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def run_chat(
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184 |
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purpose: str,
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185 |
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message: str,
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agent_name: str,
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sys_prompt: str,
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temperature: float,
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max_new_tokens: int,
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top_p: float,
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repetition_penalty: float,
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history: List[Tuple[str, str]],
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) -> Tuple[List[Tuple[str, str]], List[Tuple[str, str]]]:
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"""Handles the chat interaction."""
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if not current_model:
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return [(history, history), "Please load a model first."]
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response = generate_response(
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message,
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history,
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agent_name,
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sys_prompt,
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temperature,
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max_new_tokens,
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top_p,
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repetition_penalty,
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)
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207 |
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history.append((message, response))
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return [(history, history), response]
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+
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210 |
+
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211 |
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def update_model_dropdown(category):
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212 |
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"""Populates the model dropdown based on the selected category."""
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213 |
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models = []
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214 |
+
api = HfApi()
|
215 |
+
for model in api.list_models():
|
216 |
+
if model.pipeline_tag == category:
|
217 |
+
models.append(model.modelId)
|
218 |
+
return gr.Dropdown.update(choices=models)
|
219 |
+
|
220 |
+
|
221 |
+
def display_model_description(model_name):
|
222 |
+
"""Displays the description of the selected model."""
|
223 |
+
global model_descriptions
|
224 |
+
if model_name in model_descriptions:
|
225 |
+
return model_descriptions[model_name]
|
226 |
+
else:
|
227 |
+
return "Model description not available."
|
228 |
+
|
229 |
+
|
230 |
+
def load_selected_model(model_name):
|
231 |
+
"""Loads the selected model."""
|
232 |
+
global current_model
|
233 |
+
load_output = load_model(model_name)
|
234 |
+
if current_model:
|
235 |
+
return f"""Model '{model_name}' loaded successfully!"""
|
236 |
+
else:
|
237 |
+
return f"""Error loading model '{model_name}'"""
|
238 |
+
|
239 |
+
|
240 |
+
def create_project_handler(project_name):
|
241 |
+
"""Handles the creation of a new project."""
|
242 |
+
return create_project(project_name)
|
243 |
+
|
244 |
+
|
245 |
+
def list_files_handler():
|
246 |
+
"""Handles the listing of files in the project directory."""
|
247 |
+
return list_files(project_path)
|
248 |
+
|
249 |
+
|
250 |
+
def read_file_handler(file_path):
|
251 |
+
"""Handles the reading of a file in the project."""
|
252 |
+
return read_file(file_path, project_path)
|
253 |
+
|
254 |
+
|
255 |
+
def write_file_handler(file_path, file_content):
|
256 |
+
"""Handles the writing of content to a file in the project."""
|
257 |
+
return write_file(file_path, file_content, project_path)
|
258 |
+
|
259 |
+
|
260 |
+
def run_command_handler(command):
|
261 |
+
"""Handles the execution of a shell command."""
|
262 |
+
return run_command(command, project_path)
|
263 |
+
|
264 |
+
|
265 |
+
def preview_handler():
|
266 |
+
"""Handles the preview of the project."""
|
267 |
+
return preview(project_path)
|
268 |
+
|
269 |
+
|
270 |
+
def main():
|
271 |
+
"""Main function to launch the Gradio interface."""
|
272 |
+
with gr.Blocks() as demo:
|
273 |
+
gr.Markdown("## IDEvIII: Your Hugging Face No-Code App Builder")
|
274 |
+
# --- Model Selection ---
|
275 |
+
with gr.Tab("Model"):
|
276 |
+
model_categories = gr.Dropdown(
|
277 |
+
choices=[
|
278 |
+
"Text Generation",
|
279 |
+
"Text Summarization",
|
280 |
+
"Code Generation",
|
281 |
+
"Translation",
|
282 |
+
"Question Answering",
|
283 |
+
],
|
284 |
+
label="Model Category",
|
285 |
+
value="Text Generation",
|
286 |
+
)
|
287 |
+
model_name = gr.Dropdown(
|
288 |
+
choices=[], # Initially empty, will be populated based on category
|
289 |
+
label="Hugging Face Model Name",
|
290 |
+
)
|
291 |
+
load_button = gr.Button("Load Model")
|
292 |
+
load_output = gr.Textbox(label="Output")
|
293 |
+
model_description = gr.Markdown(label="Model Description")
|
294 |
+
|
295 |
+
model_categories.change(
|
296 |
+
fn=update_model_dropdown, inputs=model_categories, outputs=model_name
|
297 |
+
)
|
298 |
+
model_name.change(
|
299 |
+
fn=display_model_description, inputs=model_name, outputs=model_description
|
300 |
+
)
|
301 |
+
load_button.click(
|
302 |
+
load_selected_model, inputs=model_name, outputs=load_output
|
303 |
+
)
|
304 |
+
|
305 |
+
# --- Chat Interface ---
|
306 |
+
with gr.Tab("Chat"):
|
307 |
+
chatbot = gr.Chatbot(
|
308 |
+
show_label=False,
|
309 |
+
show_share_button=False,
|
310 |
+
show_copy_button=True,
|
311 |
+
likeable=True,
|
312 |
+
)
|
313 |
+
message = gr.Textbox(
|
314 |
+
label="Enter your message", placeholder="Ask me anything!"
|
315 |
+
)
|
316 |
+
purpose = gr.Textbox(
|
317 |
+
label="Purpose", placeholder="What is the purpose of this interaction?"
|
318 |
+
)
|
319 |
+
agent_name = gr.Textbox(
|
320 |
+
label="Agent Name", value="Generic Agent", interactive=True
|
321 |
+
)
|
322 |
+
sys_prompt = gr.Textbox(
|
323 |
+
label="System Prompt", max_lines=1, interactive=True
|
324 |
+
)
|
325 |
+
temperature = gr.Slider(
|
326 |
+
label="Temperature",
|
327 |
+
value=TEMPERATURE,
|
328 |
+
minimum=0.0,
|
329 |
+
maximum=1.0,
|
330 |
+
step=0.05,
|
331 |
+
interactive=True,
|
332 |
+
info="Higher values produce more creative text.",
|
333 |
+
)
|
334 |
+
max_new_tokens = gr.Slider(
|
335 |
+
label="Max new tokens",
|
336 |
+
value=MAX_TOKENS,
|
337 |
+
minimum=0,
|
338 |
+
maximum=1048 * 10,
|
339 |
+
step=64,
|
340 |
+
interactive=True,
|
341 |
+
info="The maximum number of new tokens to generate.",
|
342 |
+
)
|
343 |
+
top_p = gr.Slider(
|
344 |
+
label="Top-p (nucleus sampling)",
|
345 |
+
value=TOP_P,
|
346 |
+
minimum=0,
|
347 |
+
maximum=1,
|
348 |
+
step=0.05,
|
349 |
+
interactive=True,
|
350 |
+
info="Higher values sample more low-probability tokens.",
|
351 |
+
)
|
352 |
+
repetition_penalty = gr.Slider(
|
353 |
+
label="Repetition penalty",
|
354 |
+
value=REPETITION_PENALTY,
|
355 |
+
minimum=1.0,
|
356 |
+
maximum=2.0,
|
357 |
+
step=0.05,
|
358 |
+
interactive=True,
|
359 |
+
info="Penalize repeated tokens.",
|
360 |
+
)
|
361 |
+
submit_button = gr.Button(value="Send")
|
362 |
+
history = gr.State([])
|
363 |
+
submit_button.click(
|
364 |
+
run_chat,
|
365 |
+
inputs=[
|
366 |
+
purpose,
|
367 |
+
message,
|
368 |
+
agent_name,
|
369 |
+
sys_prompt,
|
370 |
+
temperature,
|
371 |
+
max_new_tokens,
|
372 |
+
top_p,
|
373 |
+
repetition_penalty,
|
374 |
+
history,
|
375 |
+
],
|
376 |
+
outputs=[chatbot, history],
|
377 |
+
)
|
378 |
+
|
379 |
+
# --- Project Management ---
|
380 |
+
with gr.Tab("Project"):
|
381 |
+
project_name = gr.Textbox(label="Project Name")
|
382 |
+
create_project_button = gr.Button("Create Project")
|
383 |
+
create_project_output = gr.Textbox(label="Output")
|
384 |
+
list_files_button = gr.Button("List Files")
|
385 |
+
list_files_output = gr.Textbox(label="Output")
|
386 |
+
file_path = gr.Textbox(label="File Path")
|
387 |
+
read_file_button = gr.Button("Read File")
|
388 |
+
read_file_output = gr.Textbox(label="Output")
|
389 |
+
file_content = gr.Textbox(label="File Content")
|
390 |
+
write_file_button = gr.Button("Write File")
|
391 |
+
write_file_output = gr.Textbox(label="Output")
|
392 |
+
run_command_input = gr.Textbox(label="Command")
|
393 |
+
run_command_button = gr.Button("Run Command")
|
394 |
+
run_command_output = gr.Textbox(label="Output")
|
395 |
+
preview_button = gr.Button("Preview")
|
396 |
+
preview_output = gr.Textbox(label="Output")
|
397 |
+
|
398 |
+
create_project_button.click(
|
399 |
+
create_project_handler, inputs=project_name, outputs=create_project_output
|
400 |
+
)
|
401 |
+
list_files_button.click(
|
402 |
+
list_files_handler, outputs=list_files_output
|
403 |
+
)
|
404 |
+
read_file_button.click(
|
405 |
+
read_file_handler, inputs=file_path, outputs=read_file_output
|
406 |
+
)
|
407 |
+
write_file_button.click(
|
408 |
+
write_file_handler,
|
409 |
+
inputs=[file_path, file_content],
|
410 |
+
outputs=write_file_output,
|
411 |
+
)
|
412 |
+
run_command_button.click(
|
413 |
+
run_command_handler, inputs=run_command_input, outputs=run_command_output
|
414 |
+
)
|
415 |
+
preview_button.click(
|
416 |
+
preview_handler, outputs=preview_output
|
417 |
+
)
|
418 |
+
|
419 |
+
# --- Custom Server Settings ---
|
420 |
+
server_name = "0.0.0.0" # Listen on available network interfaces
|
421 |
+
server_port = 7606 # Choose an available port
|
422 |
+
share_gradio_link = True # Share a public URL for the app
|
423 |
+
|
424 |
+
# --- Launch the Interface ---
|
425 |
+
demo.launch(
|
426 |
+
server_name=server_name,
|
427 |
+
server_port=server_port,
|
428 |
+
share=share_gradio_link,
|
429 |
+
)
|
430 |
+
|
431 |
|
432 |
if __name__ == "__main__":
|
433 |
+
main()
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|