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#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import mimetypes
import os
import re
import shutil
from typing import Optional
from smolagents.agent_types import AgentAudio, AgentImage, AgentText, handle_agent_output_types
from smolagents.agents import ActionStep, MultiStepAgent
from smolagents.memory import MemoryStep
from smolagents.utils import _is_package_available
import gradio as gr
from gradio.components import Markdown
from gradio.components import Chatbot, Textbox, State, Button
class EnhancedGradioUI:
"""Enhanced Gradio UI with markdown introduction and quick prompt buttons"""
def __init__(self, agent):
self.agent = agent
def interact_with_agent(self, prompt, messages):
messages.append(gr.ChatMessage(role="user", content=prompt))
yield messages
for msg in stream_to_gradio(self.agent, task=prompt, reset_agent_memory=False):
messages.append(msg)
yield messages
yield messages
def launch(self, **kwargs):
with gr.Blocks(theme="base") as demo:
# State to store chat messages
stored_messages = State([])
# Markdown Introduction
gr.Markdown("""
# NBAi - NBA Stats Chatbot 🤖🏀
Welcome to **NBAi**, your personal NBA statistics assistant! This app fetches and presents NBA box scores from last night's games, giving you insights on player performance, team stats, and more.
## Features
- Get real-time NBA box scores and player statistics.
- Ask questions like:
- Who had the most points last night?
- Who grabbed the most rebounds?
- Who had the highest assist-to-turnover ratio?
## Tools Used 🔧
- **smolagents** for building multi-step agents.
- **Gradio** for the user interface.
- **BeautifulSoup** and **Pandas** for web scraping and data processing.
- **DuckDuckGoSearchTool** and **VisitWebpageTool** for enhanced web interactions.
## How to Use 🚀
- Click one of the quick prompt buttons below or type your own question.
- The chatbot will respond with detailed NBA statistics from last night's games.
---
""")
# Quick Prompt Buttons
with gr.Row():
btn_points = Button(value="🏀 Most Points", variant="primary")
btn_rebounds = Button(value="💪 Most Rebounds", variant="primary")
btn_assist_to_turnover = Button(value="🎯 Best Assist-to-Turnover Ratio", variant="primary")
# Chatbot Interface
chatbot = Chatbot(
label="NBAi Chatbot",
type="messages",
avatar_images=(
None,
"https://huggingface.co./datasets/agents-course/course-images/resolve/main/en/communication/Alfred.png",
),
resizeable=True,
scale=1,
)
# Textbox for Custom User Input
text_input = Textbox(lines=1, label="Your Question")
# Bindings for Buttons
btn_points.click(
self.interact_with_agent,
["Who had the most points in last night's NBA games?", stored_messages],
chatbot
)
btn_rebounds.click(
self.interact_with_agent,
["Who had the most rebounds in last night's NBA games?", stored_messages],
chatbot
)
btn_assist_to_turnover.click(
self.interact_with_agent,
["Who had the highest ratio of assists to turnovers in last night's NBA games?", stored_messages],
chatbot
)
# Custom Input Submission
text_input.submit(
self.interact_with_agent,
[text_input, stored_messages],
chatbot
)
demo.launch(debug=True, share=True, **kwargs)
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