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import gradio as gr | |
import os | |
from dataset_loader import load_dataset | |
if not os.path.isdir("gift_recommending_chatbot_data"): | |
load_dataset() | |
from gift_recommending_chatbot_data.utils import generate_gift_suggestion | |
# Initialize the conversation | |
conversation = [] | |
# Create the Gradio interface | |
iface = gr.Interface( | |
title="Gift Recommending Chatbot", | |
fn=generate_gift_suggestion, | |
inputs="text", | |
outputs="text", | |
description="You can get the facebook username by his/her facebook profile link. e.g. https://www.facebook.com/username, paste in the {username}", | |
) | |
iface.queue(default_concurrency_limit=None) | |
# Launch the app | |
iface.launch() | |