Create app.py

app.py

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+import gradio as gr
+from ultralytics import YOLO
+import numpy as np
+import cv2
+
+# Load the fire+smoke model
+model = YOLO("best.pt")
+
+def detect_fire_smoke(image):
+    if image is None:
+        return "Please upload an image"
+
+    img = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
+
+    results = model(img)[0]
+
+    # No detection
+    if len(results.boxes) == 0:
+        return "✔ SAFE — NO FIRE/SMOKE DETECTED"
+
+    final = []
+
+    for box in results.boxes:
+        cls_id = int(box.cls[0])
+        conf = float(box.conf[0])
+
+        if cls_id == 0:
+            final.append(f"🔥 FIRE DETECTED (confidence {conf:.2f})")
+        elif cls_id == 1:
+            final.append(f"💨 SMOKE DETECTED (confidence {conf:.2f})")
+
+    if not final:
+        return "✔ SAFE — NO FIRE/SMOKE DETECTED"
+
+    return "\n".join(final)
+
+demo = gr.Interface(
+    fn=detect_fire_smoke,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="Fire & Smoke Detection (DEMO)",
+    description="Upload an image to test detection using YOLOv10 Fire & Smoke Model."
+)
+
+demo.launch()