Spaces:
Sleeping
Sleeping
Commit ·
b1cdb15
1
Parent(s): 5091547
Reverting
Browse files- app.py +293 -72
- requirements.txt +0 -3
- spaces.yaml +0 -3
app.py
CHANGED
|
@@ -1,34 +1,19 @@
|
|
| 1 |
-
import
|
| 2 |
-
from io import BytesIO
|
| 3 |
-
from PIL import Image
|
| 4 |
-
|
| 5 |
-
from fastapi import FastAPI
|
| 6 |
-
from pydantic import BaseModel
|
| 7 |
-
|
| 8 |
import random
|
| 9 |
import torch
|
| 10 |
-
from transformers import
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
# =========================
|
| 18 |
-
# API MODELS
|
| 19 |
-
# =========================
|
| 20 |
-
class APIImage(BaseModel):
|
| 21 |
-
image_base64: str
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
# =========================
|
| 25 |
-
# LOAD CLASSIFIER
|
| 26 |
-
# =========================
|
| 27 |
cls_model_name = "yangy50/garbage-classification"
|
| 28 |
classifier = pipeline("image-classification", model=cls_model_name)
|
| 29 |
|
| 30 |
def classify_image(image):
|
| 31 |
preds = classifier(image)
|
|
|
|
| 32 |
results = {}
|
| 33 |
for item in preds[:3]:
|
| 34 |
label = item["label"]
|
|
@@ -37,70 +22,205 @@ def classify_image(image):
|
|
| 37 |
return results
|
| 38 |
|
| 39 |
|
| 40 |
-
# ------------------ LOAD CHAT MODEL
|
| 41 |
-
tiny_model = "
|
| 42 |
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
|
|
|
|
|
|
|
|
|
| 46 |
|
| 47 |
-
# Use text2text-generation for T5-style models
|
| 48 |
pipe = pipeline(
|
| 49 |
-
|
| 50 |
model=chat_model,
|
| 51 |
tokenizer=tokenizer,
|
| 52 |
-
|
| 53 |
max_new_tokens=80
|
| 54 |
)
|
| 55 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 56 |
def explain_recycling(class_label):
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
"
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
|
| 64 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 65 |
)
|
| 66 |
|
| 67 |
-
outputs = pipe(
|
| 68 |
-
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
|
|
|
|
|
|
|
| 72 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
# =========================
|
| 76 |
-
waste_analyzation = {...} # KEEP SAME CONTENTS
|
| 77 |
-
waste_analyzation_v2 = {...}
|
| 78 |
-
waste_analyzation_v3 = {...}
|
| 79 |
|
| 80 |
-
analysis = [waste_analyzation_v3, waste_analyzation_v2, waste_analyzation]
|
| 81 |
|
|
|
|
| 82 |
top_label = None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 83 |
|
| 84 |
-
|
| 85 |
-
# =========================
|
| 86 |
-
# CLASSIFICATION PIPELINES
|
| 87 |
-
# =========================
|
| 88 |
def classify_pipeline(image):
|
| 89 |
global top_label
|
|
|
|
| 90 |
predictions = classify_image(image)
|
| 91 |
-
top_label = max(predictions, key=predictions.get)
|
| 92 |
return predictions
|
| 93 |
|
| 94 |
-
|
| 95 |
def analyze_pipeline():
|
| 96 |
global top_label
|
| 97 |
|
| 98 |
if top_label is None:
|
| 99 |
return "Please classify an image first."
|
| 100 |
-
|
|
|
|
|
|
|
| 101 |
choice = random.randint(0, 2)
|
| 102 |
-
info = analysis[choice][top_label]
|
| 103 |
-
|
| 104 |
result = (
|
| 105 |
f"• Recycling type: {info['Recycling type']}\n"
|
| 106 |
f"• Disposal: {info['Disposal']}\n"
|
|
@@ -110,19 +230,120 @@ def analyze_pipeline():
|
|
| 110 |
return result
|
| 111 |
|
| 112 |
|
|
|
|
| 113 |
# =========================
|
| 114 |
-
#
|
| 115 |
# =========================
|
| 116 |
-
|
| 117 |
-
|
| 118 |
-
|
| 119 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 120 |
|
| 121 |
-
|
| 122 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 123 |
|
| 124 |
|
| 125 |
-
|
| 126 |
-
def api_analyze():
|
| 127 |
-
result = analyze_pipeline()
|
| 128 |
-
return {"result": result}
|
|
|
|
| 1 |
+
import gradio as gr
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
import random
|
| 3 |
import torch
|
| 4 |
+
from transformers import (
|
| 5 |
+
AutoTokenizer, AutoModelForCausalLM,
|
| 6 |
+
T5Tokenizer,
|
| 7 |
+
T5ForConditionalGeneration,
|
| 8 |
+
pipeline
|
| 9 |
+
)
|
| 10 |
+
# ------------------ LOAD CLASSIFIER ------------------
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
cls_model_name = "yangy50/garbage-classification"
|
| 12 |
classifier = pipeline("image-classification", model=cls_model_name)
|
| 13 |
|
| 14 |
def classify_image(image):
|
| 15 |
preds = classifier(image)
|
| 16 |
+
|
| 17 |
results = {}
|
| 18 |
for item in preds[:3]:
|
| 19 |
label = item["label"]
|
|
|
|
| 22 |
return results
|
| 23 |
|
| 24 |
|
| 25 |
+
# ------------------ LOAD CHAT MODEL ------------------
|
| 26 |
+
tiny_model = "TinyLlama/TinyLlama-1.1B-Chat-v1.0"
|
| 27 |
|
| 28 |
+
tokenizer = AutoTokenizer.from_pretrained(tiny_model)
|
| 29 |
+
chat_model = AutoModelForCausalLM.from_pretrained(
|
| 30 |
+
tiny_model,
|
| 31 |
+
dtype=torch.bfloat16,
|
| 32 |
+
device_map="auto",
|
| 33 |
+
low_cpu_mem_usage=True)
|
| 34 |
|
|
|
|
| 35 |
pipe = pipeline(
|
| 36 |
+
"text-generation",
|
| 37 |
model=chat_model,
|
| 38 |
tokenizer=tokenizer,
|
| 39 |
+
device_map="auto",
|
| 40 |
max_new_tokens=80
|
| 41 |
)
|
| 42 |
|
| 43 |
+
def clean_chat_output(full_text):
|
| 44 |
+
|
| 45 |
+
if "<|assistant|>" in full_text:
|
| 46 |
+
full_text = full_text.split("<|assistant|>")[-1]
|
| 47 |
+
|
| 48 |
+
lines = full_text.strip().split("\n")
|
| 49 |
+
if lines[0].lower().startswith("item:"):
|
| 50 |
+
lines = lines[1:]
|
| 51 |
+
|
| 52 |
+
return "\n".join(lines).strip()
|
| 53 |
+
|
| 54 |
def explain_recycling(class_label):
|
| 55 |
+
system_msg = {
|
| 56 |
+
"role": "system",
|
| 57 |
+
"content": (
|
| 58 |
+
"You are an expert in waste sorting. "
|
| 59 |
+
"You ALWAYS answer using exactly two bullet points:\n"
|
| 60 |
+
"• Recycling type: <Item category>\n"
|
| 61 |
+
"• Disposal: <clear, detailed correct sentence>\n"
|
| 62 |
+
"No extra text, no introductions, no explanations."
|
| 63 |
+
)
|
| 64 |
+
}
|
| 65 |
+
user_msg = {
|
| 66 |
+
"role": "user",
|
| 67 |
+
"content": f"Item: {class_label}\nReturn the two bullet points now."
|
| 68 |
+
}
|
| 69 |
+
messages = [system_msg, user_msg]
|
| 70 |
+
|
| 71 |
+
prompt = tokenizer.apply_chat_template(
|
| 72 |
+
messages,
|
| 73 |
+
tokenize=False,
|
| 74 |
+
add_generation_prompt=True
|
| 75 |
)
|
| 76 |
|
| 77 |
+
outputs = pipe(
|
| 78 |
+
prompt,
|
| 79 |
+
max_new_tokens=80,
|
| 80 |
+
do_sample=True,
|
| 81 |
+
top_p = 0.9,
|
| 82 |
+
temperature=0.3
|
| 83 |
+
)
|
| 84 |
|
| 85 |
+
raw = outputs[0]["generated_text"]
|
| 86 |
+
return clean_chat_output(raw)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 87 |
|
|
|
|
| 88 |
|
| 89 |
+
# ------------------ PIPELINE ------------------
|
| 90 |
top_label = None
|
| 91 |
+
waste_analyzation = {
|
| 92 |
+
"cardboard": {
|
| 93 |
+
"Recycling type": "Paper/Cardboard recycling",
|
| 94 |
+
"Disposal": "Flatten the cardboard boxes and remove any non-paper packing materials before placing them in the recycling bin.",
|
| 95 |
+
"Tips": "Keep cardboard dry and clean to ensure it can be recycled efficiently.",
|
| 96 |
+
"Extra": "Avoid using waxed or heavily coated cardboard, as it may not be recyclable."
|
| 97 |
+
},
|
| 98 |
+
"glass": {
|
| 99 |
+
"Recycling type": "Glass recycling",
|
| 100 |
+
"Disposal": "Rinse glass bottles and jars, remove lids, and place them in a dedicated glass recycling container.",
|
| 101 |
+
"Tips": "Avoid breaking the glass; broken pieces can be hazardous and may complicate processing.",
|
| 102 |
+
"Extra": "Colored glass is often recycled separately; check local recycling rules."
|
| 103 |
+
},
|
| 104 |
+
"metal": {
|
| 105 |
+
"Recycling type": "Metal recycling",
|
| 106 |
+
"Disposal": "Rinse aluminum cans and steel containers, remove labels if possible, and put them in the metal recycling bin.",
|
| 107 |
+
"Tips": "Crush cans to save space and facilitate transport.",
|
| 108 |
+
"Extra": "Avoid contaminating with food waste to improve recycling efficiency."
|
| 109 |
+
},
|
| 110 |
+
"paper": {
|
| 111 |
+
"Recycling type": "Paper recycling",
|
| 112 |
+
"Disposal": "Sort newspapers, office paper, and magazines into the paper recycling bin; remove plastic coatings and staples.",
|
| 113 |
+
"Tips": "Shred sensitive documents but keep shredded paper in a bag to avoid scattering.",
|
| 114 |
+
"Extra": "Do not recycle wet or food-stained paper."
|
| 115 |
+
},
|
| 116 |
+
"plastic": {
|
| 117 |
+
"Recycling type": "Plastic recycling",
|
| 118 |
+
"Disposal": "Rinse plastic bottles, containers, and packaging, and place them in the plastic recycling bin.",
|
| 119 |
+
"Tips": "Check recycling codes; some plastics (like #3 PVC) are not widely recyclable.",
|
| 120 |
+
"Extra": "Remove caps and labels when possible to improve sorting efficiency."
|
| 121 |
+
},
|
| 122 |
+
"trash": {
|
| 123 |
+
"Recycling type": "General waste / landfill",
|
| 124 |
+
"Disposal": "Place non-recyclable items in the regular trash bin; avoid mixing with recyclables.",
|
| 125 |
+
"Tips": "Separate hazardous materials like batteries, electronics, or chemicals for special disposal.",
|
| 126 |
+
"Extra": "Try to reduce overall waste by reusing and composting when possible."
|
| 127 |
+
}
|
| 128 |
+
}
|
| 129 |
+
waste_analyzation_v2 = {
|
| 130 |
+
"cardboard": {
|
| 131 |
+
"Recycling type": "Paper/Cardboard recycling",
|
| 132 |
+
"Disposal": "Fold or cut cardboard into smaller flat pieces so it fits properly in recycling bins.",
|
| 133 |
+
"Tips": "Keep cardboard free from oils or food stains to avoid contaminating the batch.",
|
| 134 |
+
"Extra": "Cardboard with shiny or laminated surfaces may need separate processing."
|
| 135 |
+
},
|
| 136 |
+
"glass": {
|
| 137 |
+
"Recycling type": "Glass recycling",
|
| 138 |
+
"Disposal": "Remove lids and caps, lightly rinse, and place glass containers into the glass-only bin.",
|
| 139 |
+
"Tips": "Do not place broken drinking glasses or ceramics with recyclable glass—they melt at different temperatures.",
|
| 140 |
+
"Extra": "Some regions require taking glass to drop-off centers instead of curbside bins."
|
| 141 |
+
},
|
| 142 |
+
"metal": {
|
| 143 |
+
"Recycling type": "Metal recycling",
|
| 144 |
+
"Disposal": "Empty metal containers and place them in the metal bin; labels may stay on.",
|
| 145 |
+
"Tips": "Keep metal separate from electronics or batteries, which require special facilities.",
|
| 146 |
+
"Extra": "Large metal objects like appliances may require bulk recycling pickup."
|
| 147 |
+
},
|
| 148 |
+
"paper": {
|
| 149 |
+
"Recycling type": "Paper recycling",
|
| 150 |
+
"Disposal": "Place clean, dry paper products such as envelopes and notebooks into paper bins.",
|
| 151 |
+
"Tips": "Do not recycle coated paper (e.g., laminated or plastic-lined pages).",
|
| 152 |
+
"Extra": "Paper with heavy ink coverage might be processed separately."
|
| 153 |
+
},
|
| 154 |
+
"plastic": {
|
| 155 |
+
"Recycling type": "Plastic recycling",
|
| 156 |
+
"Disposal": "Clean and drain plastic bottles or tubs, then place them in the plastics bin.",
|
| 157 |
+
"Tips": "Flatten plastic bottles to reduce volume unless your local guidelines say otherwise.",
|
| 158 |
+
"Extra": "Some plastics like polystyrene foam require special drop-off locations."
|
| 159 |
+
},
|
| 160 |
+
"trash": {
|
| 161 |
+
"Recycling type": "General waste / landfill",
|
| 162 |
+
"Disposal": "Dispose of unrecyclable materials in regular waste; secure loose items in bags.",
|
| 163 |
+
"Tips": "Separate hazardous or toxic waste like paint, solvents, or chemicals.",
|
| 164 |
+
"Extra": "Reduce landfill impact by choosing reusable products whenever possible."
|
| 165 |
+
}
|
| 166 |
+
}
|
| 167 |
+
waste_analyzation_v3 = {
|
| 168 |
+
"cardboard": {
|
| 169 |
+
"Recycling type": "Paper/Cardboard recycling",
|
| 170 |
+
"Disposal": "Remove packing tape when possible and place cardboard in dry storage until pickup day.",
|
| 171 |
+
"Tips": "Avoid leaving cardboard outdoors where rain could weaken fibers and ruin recyclability.",
|
| 172 |
+
"Extra": "Food-contaminated cardboard can often be composted instead of recycled."
|
| 173 |
+
},
|
| 174 |
+
"glass": {
|
| 175 |
+
"Recycling type": "Glass recycling",
|
| 176 |
+
"Disposal": "Sort by color only if required locally; rinse lightly and drop into the proper bin.",
|
| 177 |
+
"Tips": "Handle carefully to avoid breakage, as shattered glass is often not recyclable in curbside programs.",
|
| 178 |
+
"Extra": "Glass jars with metal clasps or rubber seals may need partial disassembly before recycling."
|
| 179 |
+
},
|
| 180 |
+
"metal": {
|
| 181 |
+
"Recycling type": "Metal recycling",
|
| 182 |
+
"Disposal": "Ensure metal food cans are clean and empty before placing in the recycling bin.",
|
| 183 |
+
"Tips": "Rinse cans briefly—no need for perfect cleaning—as this prevents pests and odors.",
|
| 184 |
+
"Extra": "Metal lids from jars should be recycled separately from the glass container."
|
| 185 |
+
},
|
| 186 |
+
"paper": {
|
| 187 |
+
"Recycling type": "Paper recycling",
|
| 188 |
+
"Disposal": "Place paper in the appropriate bin; keep shredded paper in a paper bag if accepted.",
|
| 189 |
+
"Tips": "Avoid mixing paper with wet waste like food scraps to maintain recyclability.",
|
| 190 |
+
"Extra": "Sticky notes and small scraps may or may not be accepted depending on the facility."
|
| 191 |
+
},
|
| 192 |
+
"plastic": {
|
| 193 |
+
"Recycling type": "Plastic recycling",
|
| 194 |
+
"Disposal": "Recycle only plastics accepted by your local program; rinse and drain them completely.",
|
| 195 |
+
"Tips": "Avoid recycling small plastic pieces under 2 inches—they may jam sorting machinery.",
|
| 196 |
+
"Extra": "Hard-to-recycle plastics may be collected through special community programs."
|
| 197 |
+
},
|
| 198 |
+
"trash": {
|
| 199 |
+
"Recycling type": "General waste / landfill",
|
| 200 |
+
"Disposal": "Place all non-recyclables in the trash bin; tie bags securely to avoid leakage.",
|
| 201 |
+
"Tips": "Do not place batteries, electronics, or sharp objects directly into household trash.",
|
| 202 |
+
"Extra": "Consider composting organic waste to reduce household trash volume."
|
| 203 |
+
}
|
| 204 |
+
}
|
| 205 |
+
analysis = [waste_analyzation_v3, waste_analyzation_v2, waste_analyzation]
|
| 206 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 207 |
def classify_pipeline(image):
|
| 208 |
global top_label
|
| 209 |
+
|
| 210 |
predictions = classify_image(image)
|
| 211 |
+
top_label = max(predictions, key=predictions.get) # top-1
|
| 212 |
return predictions
|
| 213 |
|
|
|
|
| 214 |
def analyze_pipeline():
|
| 215 |
global top_label
|
| 216 |
|
| 217 |
if top_label is None:
|
| 218 |
return "Please classify an image first."
|
| 219 |
+
|
| 220 |
+
explanation = explain_recycling(top_label)
|
| 221 |
+
|
| 222 |
choice = random.randint(0, 2)
|
| 223 |
+
info = analysis[choice][top_label]
|
|
|
|
| 224 |
result = (
|
| 225 |
f"• Recycling type: {info['Recycling type']}\n"
|
| 226 |
f"• Disposal: {info['Disposal']}\n"
|
|
|
|
| 230 |
return result
|
| 231 |
|
| 232 |
|
| 233 |
+
# ------------------ GRADIO UI ------------------
|
| 234 |
# =========================
|
| 235 |
+
# CSS
|
| 236 |
# =========================
|
| 237 |
+
custom_css = """
|
| 238 |
+
|
| 239 |
+
|
| 240 |
+
#main-title {
|
| 241 |
+
text-align: center;
|
| 242 |
+
color: #2E7D32;
|
| 243 |
+
font-size: 34px;
|
| 244 |
+
font-weight: 800;
|
| 245 |
+
margin-bottom: 22px;
|
| 246 |
+
}
|
| 247 |
+
|
| 248 |
+
.gradio-container {
|
| 249 |
+
background: linear-gradient(135deg, #E8F5E9 0%, #F1F8E9 100%);
|
| 250 |
+
font-family: 'Segoe UI', sans-serif;
|
| 251 |
+
}
|
| 252 |
+
|
| 253 |
+
#explainbox textarea {
|
| 254 |
+
background: #ffffff;
|
| 255 |
+
height: 120px;
|
| 256 |
+
border: 2px solid #A5D6A7;
|
| 257 |
+
border-radius: 12px;
|
| 258 |
+
padding: 12px;
|
| 259 |
+
font-size: 15px;
|
| 260 |
+
}
|
| 261 |
|
| 262 |
+
.gr-button.primary {
|
| 263 |
+
background: #43A047 !important;
|
| 264 |
+
color: white !important;
|
| 265 |
+
border-radius: 12px !important;
|
| 266 |
+
padding: 12px 20px !important;
|
| 267 |
+
font-size: 17px !important;
|
| 268 |
+
box-shadow: 0px 4px 8px rgba(0, 0, 0, 0.15);
|
| 269 |
+
transition: 0.2s ease;
|
| 270 |
+
}
|
| 271 |
+
|
| 272 |
+
textarea, .gr-textbox textarea, #explainbox textarea {
|
| 273 |
+
color: #1B5E20 !important;
|
| 274 |
+
}
|
| 275 |
+
|
| 276 |
+
#tips-box li {
|
| 277 |
+
color: #2E7D32 !important;
|
| 278 |
+
}
|
| 279 |
+
|
| 280 |
+
.gr-button.primary:hover {
|
| 281 |
+
background: #2E7D32 !important;
|
| 282 |
+
transform: translateY(-2px);
|
| 283 |
+
}
|
| 284 |
+
|
| 285 |
+
|
| 286 |
+
"""
|
| 287 |
+
|
| 288 |
+
# =========================
|
| 289 |
+
# GRADIO UI
|
| 290 |
+
# =========================
|
| 291 |
+
with gr.Blocks() as demo:
|
| 292 |
+
|
| 293 |
+
# TITLE
|
| 294 |
+
gr.Markdown("<h1 id='main-title'>♻️ AI Waste Classifier</h1>")
|
| 295 |
+
|
| 296 |
+
# INPUT ROW
|
| 297 |
+
with gr.Row():
|
| 298 |
+
with gr.Column(scale=1):
|
| 299 |
+
img_input = gr.Image(
|
| 300 |
+
type="pil",
|
| 301 |
+
label="📸 Upload waste image",
|
| 302 |
+
elem_id="upload-area"
|
| 303 |
+
)
|
| 304 |
+
|
| 305 |
+
with gr.Column(scale=1):
|
| 306 |
+
gr.Markdown(
|
| 307 |
+
"""
|
| 308 |
+
<div id="tips-box" style="border:2px solid #A5D6A7; padding:16px; border-radius:14px; background:white;">
|
| 309 |
+
<h3 style="color:#2E7D32;">🌍 Quick recycling tips:</h3>
|
| 310 |
+
<ul>
|
| 311 |
+
<li>Organic waste → green bin</li>
|
| 312 |
+
<li>Plastic, metal waste → recycle</li>
|
| 313 |
+
<li>Wash your glass waste!</li>
|
| 314 |
+
<li>Battery, eletrical devices → non-metal container</li>
|
| 315 |
+
</ul>
|
| 316 |
+
</div>
|
| 317 |
+
"""
|
| 318 |
+
)
|
| 319 |
+
|
| 320 |
+
# OUTPUTS
|
| 321 |
+
cls_output = gr.Label(
|
| 322 |
+
num_top_classes=3,
|
| 323 |
+
label="🔍 Classifier Prediction (Top 3)"
|
| 324 |
+
)
|
| 325 |
+
analyze_btn = gr.Button("Classify Waste", variant="primary")
|
| 326 |
+
|
| 327 |
+
analyze_btn.click(
|
| 328 |
+
classify_pipeline,
|
| 329 |
+
inputs=img_input,
|
| 330 |
+
outputs=cls_output
|
| 331 |
+
)
|
| 332 |
+
|
| 333 |
+
explain_output = gr.Textbox(
|
| 334 |
+
label="🧩 Detailed Recycling & Disposal Advice",
|
| 335 |
+
elem_id="explainbox",
|
| 336 |
+
lines=6
|
| 337 |
+
)
|
| 338 |
+
|
| 339 |
+
# BUTTON
|
| 340 |
+
analyze_result_btn = gr.Button("Analyze", variant="primary")
|
| 341 |
+
|
| 342 |
+
analyze_result_btn.click(
|
| 343 |
+
analyze_pipeline,
|
| 344 |
+
inputs=None,
|
| 345 |
+
outputs=explain_output
|
| 346 |
+
)
|
| 347 |
|
| 348 |
|
| 349 |
+
demo.launch(css=custom_css)
|
|
|
|
|
|
|
|
|
requirements.txt
CHANGED
|
@@ -6,6 +6,3 @@ transformers
|
|
| 6 |
sentencepiece
|
| 7 |
accelerate
|
| 8 |
|
| 9 |
-
fastapi
|
| 10 |
-
uvicorn
|
| 11 |
-
pydantic
|
|
|
|
| 6 |
sentencepiece
|
| 7 |
accelerate
|
| 8 |
|
|
|
|
|
|
|
|
|
spaces.yaml
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
sdk: "python"
|
| 2 |
-
python_version: "3.10"
|
| 3 |
-
app_file: "app.py"
|
|
|
|
|
|
|
|
|
|
|
|