Update app.py

app.py

@@ -1,18 +1,3 @@
-"""
-🌿 Weed Species Classifier — Hugging Face Spaces App
-=====================================================
-Deploy this to a Hugging Face Space (Gradio SDK).
-
-Steps:
-  1. Create a new Space at https://huggingface.co/spaces
-     - Owner: your username
-     - Space SDK: Gradio
-     - Visibility: Public (free)
-  2. Upload this app.py and requirements.txt
-  3. Set the HF_MODEL_REPO secret in Space Settings → Variables
-     (or just hardcode your repo ID below)
-"""
-
 import os
 import json
 import torch
@@ -23,16 +8,13 @@ from PIL import Image
 from torchvision import transforms
 from huggingface_hub import hf_hub_download
 
-# ── Config ────────────────────────────────────────────────────────────────────
-# Set this to your model repo, e.g. "your-username/weed-classifier"
 MODEL_REPO = os.environ.get("HF_MODEL_REPO", "your-username/weed-classifier")
 
-# ── Load model + class names ──────────────────────────────────────────────────
 print(f"Loading model from {MODEL_REPO}...")
 
 class_names_path = hf_hub_download(repo_id=MODEL_REPO, filename="class_names.json")
 with open(class_names_path) as f:
-    # Keys are string indices from json; convert to int->str dict
+
     raw = json.load(f)
     idx_to_species = {int(k): v for k, v in raw.items()}
 
@@ -90,7 +72,6 @@ or crop, and tell you which species it is.
 """
 
 EXAMPLES = [
-    # Add paths to example images here if you include them in your Space repo
     # ["examples/chinee_apple.jpg"],
     # ["examples/snakeweed.jpg"],
 ]