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Browse files- app.py +66 -0
- requirements.txt +5 -0
app.py
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import gradio as gr
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from ultralytics import YOLO
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import requests
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import cv2
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import os
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# Load model YOLOv8 resmi (ringan dan otomatis diunduh oleh Hugging Face)
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model = YOLO('yolov8n.pt')
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# Alamat server HP kamu via tunnel
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URL_HP_SERVER = "https://caf39abf042b9d.lhr.life/api/upload"
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def deteksi_dan_kirim_ke_hp(gambar):
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if gambar is None:
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return None, "Silakan unggah foto terlebih dahulu."
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# 1. Jalankan Deteksi AI YOLOv8
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results = model(gambar)
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hasil = results[0]
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# Gambar bounding box hasil deteksi
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gambar_hasil = hasil.plot()
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output_path = "temp_result.jpg"
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cv2.imwrite(output_path, cv2.cvtColor(gambar_hasil, cv2.COLOR_RGB2BGR))
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# Ekstrak nama objek dan persentase akurasinya
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label_terdeteksi = []
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for box in hasil.boxes:
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cls_id = int(box.cls[0])
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nama_objek = model.names[cls_id]
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conf = float(box.conf[0])
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label_terdeteksi.append(f"{nama_objek} ({conf*100:.1f}%)")
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keterangan = ", ".join(label_terdeteksi) if label_terdeteksi else "Tidak ada objek terdeteksi"
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# 2. Kirim File Gambar & Info Deteksi ke Server HP
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status_pengiriman = ""
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try:
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with open(output_path, 'rb') as f:
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files = {'image': ('hasil_deteksi.jpg', f, 'image/jpeg')}
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data = {'info': keterangan}
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response = requests.post(URL_HP_SERVER, files=files, data=data, timeout=15)
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if response.status_code == 200:
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status_pengiriman = f"Tersimpan di HP! Info: {keterangan}"
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else:
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status_pengiriman = f"Gagal simpan ke HP (Kode: {response.status_code})"
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except Exception as e:
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status_pengiriman = f"Gagal menghubungi HP: {str(e)}"
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return cv2.cvtColor(gambar_hasil, cv2.COLOR_BGR2RGB), status_pengiriman
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# Tampilan Web UI
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demo = gr.Interface(
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fn=deteksi_dan_kirim_ke_hp,
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inputs=gr.Image(type="numpy", label="Unggah Gambar"),
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outputs=[
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gr.Image(label="Hasil Deteksi YOLOv8"),
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gr.Textbox(label="Status Home Server HP")
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],
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title="Sistem Deteksi AI + Home Storage HP",
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description="Komputasi AI diproses di Hugging Face (Cloud), file disimpan fisik di HP (Termux)."
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)
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
ADDED
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@@ -0,0 +1,5 @@
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ultralytics
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requests
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gradio
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opencv-python-headless
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pillow
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