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import gradio as gr
from loguru import logger
from pydantic import BaseModel
from ast import literal_eval
from allofresh_chatbot import AllofreshChatbot
from utils import cut_dialogue_history
from prompts.mod_prompt import FALLBACK_MESSAGE
allo_chatbot = AllofreshChatbot(debug=True)
class Message(BaseModel):
role: str
content: str
def fetch_messages(history):
"""
Fetch the messages from the chat history.
"""
return [(history[i]["content"], history[i+1]["content"]) for i in range(0, len(history)-1, 2)]
def preproc_history(history):
"""
Clean the chat history to remove the None values.
"""
clean_history = [Message(**msg) for msg in history if msg["content"] is not None]
return cut_dialogue_history(str(clean_history))
def user_input(input, history):
"""
Add the user input to the chat history.
"""
history.append({'role': 'user', 'content': input})
history.append({'role': 'assistant', 'content': None})
return fetch_messages(history), history
def predict_answer(input, history):
"""
Answering component
"""
answer = allo_chatbot.answer_optim_v2(input, preproc_history(history))
history.append({'role': 'user', 'content': None})
history.append({'role': 'assistant', 'content': answer})
return fetch_messages(history), history
def predict_reco(history):
"""
Reco component
"""
if history[-1]["content"] != FALLBACK_MESSAGE:
reco = allo_chatbot.reco_optim_v1(preproc_history(history))
history.append({'role': 'user', 'content': None})
history.append({'role': 'assistant', 'content': reco})
return fetch_messages(history), history
"""
Gradio Blocks low-level API that allows to create custom web applications (here our chat app)
"""
with gr.Blocks() as app:
logger.info("Starting app...")
chatbot = gr.Chatbot(label="Allofresh Assistant")
state = gr.State([])
with gr.Row():
txt = gr.Textbox(show_label=False, placeholder="Enter text, then press enter").style(container=False)
txt.submit(
user_input, [txt, state], [chatbot, state]
).success(
predict_answer, [txt, state], [chatbot, state]
).success(
predict_reco, [state], [chatbot, state]
)
app.queue(concurrency_count=4)
app.launch() |