Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jayjunlee/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jayjunlee/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jayjunlee/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Create Sa
#1
by Bousida - opened
Sa
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
from PIL import Image
|
| 3 |
+
import random
|
| 4 |
+
|
| 5 |
+
def predict_trade(image):
|
| 6 |
+
result = random.choice(["شراء 🔼", "بيع 🔽", "انتظار ⏸️"])
|
| 7 |
+
return f"📊 التوصية: {result}\n⏱️ الإطار الزمني المقترح: 1-2 دقيقة"
|
| 8 |
+
|
| 9 |
+
interface = gr.Interface(
|
| 10 |
+
fn=predict_trade,
|
| 11 |
+
inputs=gr.Image(type="pil", label="📸 ارفع لقطة الشاشة من Pocket Option"),
|
| 12 |
+
outputs="text",
|
| 13 |
+
title="🤖 الذكاء الاصطناعي - بولبابة و أشرف",
|
| 14 |
+
description="ارفع صورة من منصة Pocket Option ليعطيك توصية البيع أو الشراء"
|
| 15 |
+
)
|
| 16 |
+
|
| 17 |
+
interface.launch()
|