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recipes/inference/dashscope/README.md

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+# Inference Qwen Using DashScope
+
+The most simple way to use Qwen through APIs is DashScope API service through Alibaba Cloud. We give an introduction to the usage. Additionally, we provide a script for you to deploy an OpenAI-style API on your own servers.
+
+DashScope is the large language model API service provided by Alibaba Cloud, which now supports Qwen. Note that the models behind DashScope are in-house versions temporarily without details provided. The services include `qwen-turbo` and `qwen-plus`, where the former one runs faster and the latter achieves better performance. For more information, visit the documentation [here](https://dashscope.aliyun.com).
+
+Please head to the official website [link](https://help.aliyun.com/zh/dashscope/developer-reference/activate-dashscope-and-create-an-api-key?spm=a2c4g.11186623.0.0.6c2774fahtfXdn) to create a DashScope account and obtain the API key (AK). We recommend setting the AK with an environment variable:
+```bash
+export DASHSCOPE_API_KEY="YOUR_DASHSCOPE_API_KEY"
+```
+Then please install the packages and click [here](https://help.aliyun.com/zh/dashscope/developer-reference/install-dashscope-sdk) for the documentation. If you use Python, you can install DashScope with pip:
+```bash
+pip install dashscope
+```
+If you use JAVA SDK, you can install it in this way:
+```xml
+<!-- https://mvnrepository.com/artifact/com.alibaba/dashscope-sdk-java -->
+<dependency>
+    <groupId>com.alibaba</groupId>
+    <artifactId>dashscope-sdk-java</artifactId>
+    <version>the-latest-version</version>
+</dependency>
+```
+The simplest way to use DashScope is the usage with messages, which is similar to OpenAI API. The example is demonstrated below:
+```python
+import random
+from http import HTTPStatus
+from dashscope import Generation
+
+
+def call_with_messages():
+    messages = [{'role': 'system', 'content': 'You are a helpful assistant.'},
+                {'role': 'user', 'content': '如何做西红柿鸡蛋？'}]
+    gen = Generation()
+    response = gen.call(
+        Generation.Models.qwen_turbo,
+        messages=messages,
+        seed=random.randint(1, 10000),  # set the random seed, optional, default to 1234 if not set
+        result_format='message',  # set the result to be "message" format.
+    )
+    return response
+
+
+if __name__ == '__main__':
+    response = call_with_messages()
+    if response.status_code == HTTPStatus.OK:
+        print(response)
+    else:
+        print('Request id: %s, Status code: %s, error code: %s, error message: %s' % (
+            response.request_id, response.status_code,
+            response.code, response.message
+        ))
+```
+For more usages, please visit the official website for more details.
+<br><br>
+