# EmotionCLIP 自帶 label，不用你自定義
    inputs = processor(images=image, return_tensors="pt")
    with torch.no_grad():
        outputs = model(**inputs)
    probs = outputs.logits_per_image.softmax(dim=1).detach().cpu().numpy()[0]

    labels = model.config.text_labels  # 模型內建的情緒標籤
    top = probs.argmax()
    mood = labels[top]
    conf = probs[top]

    # --- 長條圖 ---
    fig, ax = plt.subplots(figsize=(5,4))
    ax.barh(labels, probs, color="skyblue")
    ax.set_xlim(0, 1)
    ax.set_xlabel("Confidence")
    ax.set_title("Emotion Probabilities (EmotionCLIP)")
    plt.tight_layout()
    buf = io.BytesIO()
    plt.savefig(buf, format="png")
    plt.close(fig)
    buf.seek(0)
    chart_img = Image.open(buf)

    return f"Mood: {mood.capitalize()}", f"Confidence: {conf:.2f}", chart_img

except Exception as e:
    return f"❌ Error: {str(e)}", "", None