63 lines
1.5 KiB
Python
63 lines
1.5 KiB
Python
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"""Quick test to verify PaddleOCR-VL connection."""
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from openai import OpenAI
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import base64
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import cv2
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import numpy as np
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# Create test image
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test_image = np.ones((100, 300, 3), dtype=np.uint8) * 255
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cv2.putText(test_image, "x^2 = 4", (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2)
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# Encode to base64
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success, encoded_image = cv2.imencode(".png", test_image)
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if not success:
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print("Failed to encode image")
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exit(1)
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image_base64 = base64.b64encode(encoded_image.tobytes()).decode("utf-8")
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image_url = f"data:image/png;base64,{image_base64}"
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# Test connection
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client = OpenAI(
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api_key="EMPTY",
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base_url="http://100.115.184.74:8001/v1",
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timeout=3600
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)
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print("Testing PaddleOCR-VL connection...")
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print(f"Server: http://100.115.184.74:8001/v1")
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print(f"Model: PaddleOCR-VL-0.9B")
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print("-" * 60)
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try:
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messages = [
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {"url": image_url}
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},
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{
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"type": "text",
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"text": "Formula Recognition:"
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}
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]
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}
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]
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response = client.chat.completions.create(
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model="PaddleOCR-VL-0.9B",
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messages=messages,
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temperature=0.0,
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)
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print("✅ SUCCESS!")
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print(f"Response: {response.choices[0].message.content}")
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except Exception as e:
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print(f"❌ FAILED: {e}")
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import traceback
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traceback.print_exc()
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