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import os
import subprocess
import random
from huggingface_hub import InferenceClient
import gradio as gr
from safe_search import safe_search
from i_search import google
from i_search import i_search as i_s
from agent import ( run_agent, create_interface, format_prompt_var, generate, MAX_HISTORY, client, VERBOSE, date_time_str, )
from utils import parse_action, parse_file_content, read_python_module_structure
from datetime import datetime
now = datetime.now()
date_time_str = now.strftime("%Y-%m-%d %H:%M:%S")
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
VERBOSE = True
MAX_HISTORY = 100
def format_prompt_var(message, history):
prompt = " "
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/usr]\n{bot_response}\n"
prompt += f"[INST] {message} [/usr]\n"
return prompt
def run_gpt(prompt_template, stop_tokens, max_tokens, purpose, **prompt_kwargs):
seed = random.randint(1, 1111111111111111)
print(seed)
generate_kwargs = dict(
temperature=1.0,
max_new_tokens=2096,
top_p=0.99,
repetition_penalty=1.0,
do_sample=True,
seed=seed,
)
content = PREFIX.format(
date_time_str=date_time_str,
purpose=purpose,
safe_search=safe_search,
) + prompt_template.format(**prompt_kwargs)
if VERBOSE:
print(LOG_PROMPT.format(content))
stream = client.text_generation(content, **generate_kwargs, stream=True, details=True, return_full_text=False)
resp = ""
for response in stream:
resp += response.token.text
if VERBOSE:
print(LOG_RESPONSE.format(resp))
return resp
def compress_history(purpose, task, history, directory):
resp = run_gpt(
COMPRESS_HISTORY_PROMPT,
stop_tokens=["observation:", "task:", "action:", "thought:"],
max_tokens=512,
purpose=purpose,
task=task,
history=history,
)
history = "observation: {}\n".format(resp)
return history
def call_search(purpose, task, history, directory, action_input):
print("CALLING SEARCH")
try:
if "http" in action_input:
if "<" in action_input:
action_input = action_input.strip("<")
if ">" in action_input:
action_input = action_input.strip(">")
response = i_s(action_input)
print(response)
history += "observation: search result is: {}\n".format(response)
else:
history += "observation: I need to provide a valid URL to 'action: SEARCH action_input=https://URL'\n"
except Exception as e:
history += "{}\n".format(e) # Fixing this line to include the exception message
if "COMPLETE" in action_name or "COMPLETE" in action_input:
task = "END"
return action_name, action_input, history, task
def call_set_task(purpose, task, history, directory, action_input):
task = run_gpt(
TASK_PROMPT,
stop_tokens=[],
max_tokens=64,
purpose=purpose,
task=task,
history=history,
).strip("\n")
history += "observation: task has been updated to: {}\n".format(task)
return "MAIN", None, history, task
def end_fn(purpose, task, history, directory, action_input):
task = "END"
return "COMPLETE", "COMPLETE", history, task
EXAMPLE_PROJECT_DIRECTORY = './example_project/'
PREFIX = """Answer the following question as accurately as possible, providing detailed responses that cover each aspect of the topic. Make sure to maintain a professional tone throughout your answers. Also please make sure to meet the safety criteria specified earlier. Question: What are the suggested approaches for creating a responsive navigation bar? Answer:"""
LOG_PROMPT = "Prompt: {}"
LOG_RESPONSE = "Response: {}"
COMPRESS_HISTORY_PROMPT = """Given the context history, compress it down to something meaningful yet short enough to fit into a single chat message without exceeding over 512 tokens. Context: {}"""
TASK_PROMPT = """Determine the correct next step in terms of actions, thoughts or observations for the following task: {}, current history: {}, current directory: {}."""
NAME_TO_FUNC = {
"MAIN": call_main,
"UPDATE-TASK": call_set_task,
"SEARCH": call_search,
"COMPLETE": end_fn,
}
def _clean_up():
if os.path.exists(EXAMPLE_PROJECT_DIRECTORY):
shutil.rmtree(EXAMPLE_PROJECT_DIRECTORY)
def call_main(purpose, task, history, directory, action_input=''):
_clean_up()
os.makedirs(EXAMPLE_PROJECT_DIRECTORY)
template = '''<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
<style>
{{%style}}
</style>
</head>
<body>
{{%body}}
</body>
</html>'''
navbar = f'''<nav>
<input type="checkbox" id="check">
<label for="check" class="checkbtn">
<i class="fas fa-bars"></i>
</label>
<label class="logo">LOGO</label>
<ul>
<li><a href="#home">Home</a></li>
<li><a href="#about">About Us</a></li>
<li><a href="#services">Services</a></li>
<li><a href="#contact">Contact Us</a></li>
</ul>
</nav>'''
css = '''*{
box-sizing: border-box;}
body {{
font-family: sans-serif;
margin: 0;
padding: 0;
background: #f4f4f4;
}}
/* Navigation */
nav {{
position: fixed;
width: 100%;
height: 70px;
line-height: 70px;
z-index: 999;
transition: all .6s ease-in-out;
}}
nav ul {{
float: right;
margin-right: 40px;
display: flex;
justify-content: space-between;
align-items: center;
list-style: none;
}}
nav li {{
position: relative;
text-transform: uppercase;
letter-spacing: 2px;
cursor: pointer;
padding: 0 10px;
}}
nav li:hover > ul {{
visibility: visible;
opacity: 1;
transform: translateY(0);
top: auto;
left:auto;
-webkit-transition:all 0.3s linear; /* Safari/Chrome/Opera/Gecko */
-moz-transition:all 0.3s linear; /* FF3.6+ */
-ms-transition:all 0.3s linear; /* IE10 */
-o-transition:all 0.3s linear; /* Opera 10.5–12.00 */
transition:all 0.3s linear;
}}
nav ul ul {{
visibility: hidden;
opacity: 0;
min-width: 180px;
white-space: nowrap;
background: rgba(255, 255, 255, 0.9);
box-shadow: 0px 0px 3px rgba(0, 0, 0, 0.2);
border-radius: 0px;
transition: all 0.5s cubic-bezier(0.770, 0.000, 0.175, 1.000);
position: absolute;
top: 100%;
left: 0;
z-index: 9999;
padding: 0;
}}'''
with open(os.path.join(EXAMPLE_PROJECT_DIRECTORY, 'index.html'), 'w') as f:
f.write(template.format(body=navbar, style=css))
return "MAIN", "", f"Created a responsive navigation bar in:\n{EXAMPLE_PROJECT_DIRECTORY}", task
def run_action(purpose, task, history, directory, action_name, action_input):
print(f'action_name::{action_name}')
try:
if "RESPONSE" in action_name or "COMPLETE" in action_name:
action_name = "COMPLETE"
task = "END"
return action_name, "COMPLETE", history, task
if len(history.split('\n')) > MAX_HISTORY:
if VERBOSE:
print("COMPRESSING HISTORY")
history = compress_history(purpose, task, history, directory)
if not action_name in NAME_TO_FUNC:
action_name = "MAIN"
if action_name == '' or action_name is None:
action_name = "MAIN"
assert action_name in NAME_TO_FUNC
print("RUN: ", action_name, action_input)
return NAME_TO_FUNC[action_name](purpose, task, history, directory, action_input)
except Exception as e:
history += "observation: the previous command did not produce any useful output, I need to check the commands syntax, or use a different command\n"
return "MAIN", None, history, task
def run(purpose, history):
task = None
directory = "./"
if history:
history = str(history).strip("[]")
if not history:
history = ""
action_name = "UPDATE-TASK" if task is None else "MAIN"
action_input = None
while True:
print("")
print("")
print("---")
print("purpose:", purpose)
print("task:", task)
print("---")
print(history)
print("---")
action_name, action_input, history, task = run_action(
purpose,
task,
history,
directory,
action_name,
action_input,
)
yield (history)
if task == "END":
return (history)
iface = gr.Interface(fn=run, inputs=["text", "text"], outputs="text", title="Expert Web Developer Assistant Agent", description="Ask me questions, give me tasks, and I will respond accordingly.\n Example: 'Purpose: Create a contact form | Action: FORMAT INPUT' & Input: '<form><div><label for='email'>Email:</label><input type='email'/></div></form>' ")
# Launch the Gradio interface
iface.launch(share=True)
if __name__ == "__main__":
main("Sample Purpose", "Sample History") |