'commit'

AI/WxMini/Test/Math_PiJuan.py

@@ -0,0 +1,47 @@
+
+# https://qwenlm.github.io/zh/blog/qwen2.5-vl-32b/
+from openai import OpenAI
+from WxMini.Milvus.Config.MulvusConfig import *
+
+client = OpenAI(
+    api_key=MODELSCOPE_ACCESS_TOKEN,
+    base_url="https://api-inference.modelscope.cn/v1"
+)
+# 提示词
+prompt = "You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step."
+
+# 要解决的图片问题
+#img_url = 'https://qianwen-res.oss-cn-beijing.aliyuncs.com/QVQ/demo.png'
+# 答案=46
+
+#img_url='https://hzkc.oss-cn-beijing.aliyuncs.com/Temp/simple_math.jpeg'
+# 答案应该是80度
+
+#img_url='https://hzkc.oss-cn-beijing.aliyuncs.com/Temp/child_math.jpeg'
+img_url='https://hzkc.oss-cn-beijing.aliyuncs.com/Temp/child_math2.jpg'
+
+response = client.chat.completions.create(
+    #model="Qwen/QVQ-72B-Preview",
+    model="Qwen/Qwen2.5-VL-32B-Instruct",
+    messages=[
+        {
+            "role": "system",
+            "content": [
+                {"type": "text", "text": prompt}
+            ],
+        },
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "image_url",
+                    "image_url": {"url": img_url}
+                },
+                {"type": "text", "text": "请使用中文回答：帮我看看计算的对不对?"},
+            ],
+        }
+    ],
+    stream=True
+)
+for chunk in response:
+    print(chunk.choices[0].delta.content, end='', flush=True)