Creating a Hugging Face Space Beginner

# Clone your Space
git clone https://huggingface.co/spaces/YOUR_USERNAME/my-first-space
cd my-first-space

# You'll see a README.md with Space metadata
cat README.md

---
title: My First Space
emoji: 🚀
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
---

gradio==4.44.0
transformers
torch
Pillow

import gradio as gr
from transformers import pipeline

# Load a pre-trained model from Hugging Face Hub
classifier = pipeline("image-classification", model="google/vit-base-patch16-224")

def classify_image(image):
    results = classifier(image)
    return {r["label"]: r["score"] for r in results}

demo = gr.Interface(
    fn=classify_image,
    inputs=gr.Image(type="pil"),
    outputs=gr.Label(num_top_classes=5),
    title="Image Classifier",
    description="Upload an image to classify it using ViT."
)

demo.launch()

# Add, commit, and push
git add app.py requirements.txt
git commit -m "Add image classification app"
git push

# Your app will be live at:
# https://huggingface.co/spaces/YOUR_USERNAME/my-first-space

from huggingface_hub import HfApi

api = HfApi()

# Create a new Space programmatically
api.create_repo(
    repo_id="my-space",
    repo_type="space",
    space_sdk="gradio",
    private=False
)

# Upload files
api.upload_file(
    path_or_fileobj="app.py",
    path_in_repo="app.py",
    repo_id="YOUR_USERNAME/my-space",
    repo_type="space"
)