feat: update model name

test_vllm_connection.py

@@ -0,0 +1,62 @@
+"""Quick test to verify PaddleOCR-VL connection."""
+
+from openai import OpenAI
+import base64
+import cv2
+import numpy as np
+
+# Create test image
+test_image = np.ones((100, 300, 3), dtype=np.uint8) * 255
+cv2.putText(test_image, "x^2 = 4", (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2)
+
+# Encode to base64
+success, encoded_image = cv2.imencode(".png", test_image)
+if not success:
+    print("Failed to encode image")
+    exit(1)
+
+image_base64 = base64.b64encode(encoded_image.tobytes()).decode("utf-8")
+image_url = f"data:image/png;base64,{image_base64}"
+
+# Test connection
+client = OpenAI(
+    api_key="EMPTY",
+    base_url="http://100.115.184.74:8001/v1",
+    timeout=3600
+)
+
+print("Testing PaddleOCR-VL connection...")
+print(f"Server: http://100.115.184.74:8001/v1")
+print(f"Model: PaddleOCR-VL-0.9B")
+print("-" * 60)
+
+try:
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "image_url",
+                    "image_url": {"url": image_url}
+                },
+                {
+                    "type": "text",
+                    "text": "Formula Recognition:"
+                }
+            ]
+        }
+    ]
+
+    response = client.chat.completions.create(
+        model="PaddleOCR-VL-0.9B",
+        messages=messages,
+        temperature=0.0,
+    )
+    
+    print("✅ SUCCESS!")
+    print(f"Response: {response.choices[0].message.content}")
+    
+except Exception as e:
+    print(f"❌ FAILED: {e}")
+    import traceback
+    traceback.print_exc()