Update README.md

README.md

@@ -170,11 +170,10 @@ Pàgina 2 de 2
 
 ## vLLM:
 ```
-vllm serve numind/NuMarkdown-8B-reasoning --trust_remote_code --limit-mm-per-prompt image=1
+vllm serve numind/NuMarkdown-8B-Thinking --trust_remote_code --limit-mm-per-prompt image=1
 ```
 
 ```python
-import json
 from openai import OpenAI
 import base64
 
@@ -193,28 +192,31 @@ def encode_image(image_path):
     with open(image_path, "rb") as image_file:
         return base64.b64encode(image_file.read()).decode('utf-8')
 
-base64_image = encode_image("invoice.png")
+base64_image = encode_image("image.png")
+data_url = f"data:image/jpeg;base64,{base64_image}"
 
 chat_response = client.chat.completions.create(
-    model="numind/NuMarkdown-8B-reasoning",
+    model="numind/NuMarkdown-8B-Thinking",
     temperature=0.7,
     messages=[
+        {
+            "role": "user",
+            "content": [
                 {
-                    "role": "user",
-                    "content": [
-                        {"type": "image_url", 
-                         "image_url": {"url": data_url},
-                         "min_pixels": 100 * 28 * 28,
-                         "max_pixels": 5000 * 28 * 28,},
-                        
-                    ],
+                    "type": "image_url", 
+                    "image_url": {"url": data_url},
+                    "min_pixels": 100 * 28 * 28,
+                    "max_pixels": 5000 * 28 * 28,
                 },
             ],
-
+        },
+    ]
 )
 
-reasoning = chat_response.choices[0].message.content.split("<thining>")[1].split("</thining>")[0]
-answer  = chat_response.choices[0].message.content.split("<answer>")[1].split("</answer>")[0]
+result = chat_response.choices[0].message.content
+reasoning = result.split("<think>")[1].split("</think>")[0]
+answer  = result.split("<answer>")[1].split("</answer>")[0]
+print(answer)
 ```