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import gradio as gr
import torch
import numpy as np
from stable_baselines3 import PPO
import gym
from huggingface_hub import hf_hub_download
# 从 Hugging Face Hub 下载 Huggy 代理模型
model_path = hf_hub_download(repo_id="Peilin00/ppo-Huggy", filename="ppo-Huggy.onnx")
model = PPO.load(model_path)
def play_huggy():
env = gym.make("LunarLander-v2", render_mode="rgb_array")
obs, _ = env.reset()
done = False
frames = []
while not done:
action, _ = model.predict(obs)
obs, reward, done, info, _ = env.step(action)
frame = env.render()
frames.append(frame)
env.close()
return frames
# 创建 Gradio Web 界面
demo = gr.Interface(
fn=play_huggy,
inputs=[],
outputs="video",
title="Play with my Huggy Agent!"
)
demo.launch()
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