app.py

import gradio as gr
from huggingface_hub import HfApi
from typing import Any
from griptape.structures import Agent
from griptape.drivers import LocalConversationMemoryDriver
from griptape.memory.structure import ConversationMemory
from griptape.tools import Calculator
from griptape.rules import Rule
import time

repo_id = "kateforsberg/gradio-test"
api = HfApi()

def user(user_message, history):
    history.append([user_message, None])
    return ("", history)

def bot(history):
    response = agent.send_message(history[-1][0])
    history[-1][1] = ""
    for character in response:
        history[-1][1] += character

        time.sleep(0.005)

        yield history

agent = Agent(
        conversation_memory=ConversationMemory(
            driver=LocalConversationMemoryDriver(
                file_path="conversation_memory.json"
            )),
        tools=[Calculator()],
        rules=[
            Rule(
                value = "You are an intelligent agent tasked with answering questions."
            ),
            Rule(
                value = "All of your responses are less than 5 sentences."
            ) ]
)

def send_message(message:str, history,) -> Any:
    response = agent.run(message)
    return response.output.value

demo = gr.ChatInterface(
    fn=send_message
    )
demo.launch(
    auth=("griptape","griptaper"))