Machine translation (Qwen-MT)

import os
from openai import OpenAI

client = OpenAI(
    # If you have not configured the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The base_url varies by region. Update it based on the region you use.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "No me reí después de ver este video"
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English"
}

completion = client.chat.completions.create(
    model="qwen-mt-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options
    }
)
print(completion.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
    # If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The base_url varies by region. Update it based on the region you use.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [{"role": "user", "content": "No me reí después de ver este video"}]
translation_options = {"source_lang": "auto", "target_lang": "English"}

completion = client.chat.completions.create(
    model="qwen-mt-flash",
    messages=messages,
    stream=True,
    stream_options={"include_usage": True},
    extra_body={"translation_options": translation_options},
)
for chunk in completion:
    if chunk.choices:
        content = chunk.choices[0].delta.content or ""
        print(content, end="", flush=True)
    else:
        print("="*20+"Usage"+"="*20)
        print(chunk.usage)

import os
from openai import OpenAI

client = OpenAI(
    # If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The base_url varies by region. Update it based on the region you use.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "Este conjunto de biosensores utiliza grafeno, un material novedoso. Su objetivo son los elementos químicos. Su agudo «sentido del olfato» le permite reflejar el estado de salud del cuerpo de forma más profunda y precisa."
    }
]

# --- First request: without the terms parameter ---
print("--- [Translation result without terms] ---")
translation_options_without_terms = {
    "source_lang": "auto",
    "target_lang": "English"
}

completion_without_terms = client.chat.completions.create(
    model="qwen-mt-turbo",
    messages=messages,
    extra_body={
        "translation_options": translation_options_without_terms
    }
)
print(completion_without_terms.choices[0].message.content)

print("\n" + "="*50 + "\n") # Separator for comparison

# --- Second request: with the terms parameter ---
print("--- [Translation result with terms] ---")
translation_options_with_terms = {
    "source_lang": "auto",
    "target_lang": "English",
    "terms": [
        {
            "source": "biosensor",
            "target": "biological sensor"
        },
        {
            "source": "estado de salud del cuerpo",
            "target": "health status of the body"
        }
    ]
}

completion_with_terms = client.chat.completions.create(
    model="qwen-mt-turbo",
    messages=messages,
    extra_body={
        "translation_options": translation_options_with_terms
    }
)
print(completion_with_terms.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
    # If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The base_url varies by region. Update it based on the region you use.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "El siguiente comando muestra la información de la versión de Thrift instalada."
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English",
    "tm_list": [
        {
            "source": "Puede utilizar uno de los siguientes métodos para consultar la versión del motor de un clúster:",
            "target": "You can use one of the following methods to query the engine version of a cluster:"
        },
        {
            "source": "La versión de Thrift utilizada por nuestro HBase en la nube es la 0.9.0. Por lo tanto, recomendamos que la versión del cliente también sea la 0.9.0. Puede descargar Thrift 0.9.0 desde aquí. El paquete de código fuente descargado se utilizará posteriormente. Primero debe instalar el entorno de compilación de Thrift. Para la instalación desde el código fuente, puede consultar el sitio web oficial de Thrift.",
            "target": "The version of Thrift used by ApsaraDB for HBase is 0.9.0. Therefore, we recommend that you use Thrift 0.9.0 to create a client. Click here to download Thrift 0.9.0. The downloaded source code package will be used later. You must install the Thrift compiling environment first. For more information, see Thrift official website."
        },
        {
            "source": "Puede instalar el SDK a través de PyPI. El comando de instalación es el siguiente:",
            "target": "You can run the following command in Python Package Index (PyPI) to install Elastic Container Instance SDK for Python:"
        }
    ]
}

completion = client.chat.completions.create(
    model="qwen-mt-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options
    }
)
print(completion.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
    # If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The base_url varies by region. Update it based on the region you use.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "La segunda instrucción SELECT devuelve un número que indica la cantidad de filas que habría devuelto la primera instrucción SELECT si no se hubiera utilizado la cláusula LIMIT."
    }
]

# --- First request: without the domains parameter ---
print("--- [Translation result without domains] ---")
translation_options_without_domains = {
    "source_lang": "auto",
    "target_lang": "English",
}

completion_without_domains = client.chat.completions.create(
    model="qwen-mt-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options_without_domains
    }
)
print(completion_without_domains.choices[0].message.content)

print("\n" + "="*50 + "\n") # Separator for comparison

# --- Second request: with the domains parameter ---
print("--- [Translation result with domains] ---")
translation_options_with_domains = {
    "source_lang": "auto",
    "target_lang": "English",
    "domains": "The sentence is from Ali Cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style."
}

completion_with_domains = client.chat.completions.create(
    model="qwen-mt-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options_with_domains
    }
)
print(completion_with_domains.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
    # If the environment variable is not configured, replace the following line with your Alibaba Cloud Model Studio API Key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The base_url varies by region. Update it based on the region you use.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
prompt_template = """
# Role
You are a professional legal translation expert, proficient in both Spanish and English, and you are especially skilled at handling commercial contracts and legal documents.

# Task
I need you to translate the following Spanish legal text into professional, accurate, and formal English.

# Translation Requirements
1.  **Fidelity to the Original**: Strictly translate according to the meaning and legal intent of the original text. Do not add or omit information.
2.  **Precise Terminology**: Use standard legal terms common in the Common Law system. For example, "甲方" should be translated as "Party A", "乙方" as "Party B", and "不可抗力" as "Force Majeure".
3.  **Formal Tone**: Maintain the rigorous, objective, and formal style inherent in legal documents.
4.  **Clarity of Language**: The translation must be clear, unambiguous, and conform to the expressive conventions of English legal writing.
5.  **Format Preservation**: Retain the paragraphs, numbering, and basic format of the original text.

# Text to be Translated
{text_to_translate}
"""

# --- 2. Prepare the legal text to be translated ---
chinese_legal_text = "Este contrato entrará en vigor a partir de la fecha en que ambas partes lo firmen y sellen, y tendrá una vigencia de un año."
final_prompt = prompt_template.format(text_to_translate=chinese_legal_text)

# --- 3. Construct the messages ---
messages = [{"role": "user", "content": final_prompt}]

# --- 4. Initiate the API request ---
completion = client.chat.completions.create(model="qwen-mt-plus", messages=messages)

# --- 5. Print the model's translation result ---
translation_result = completion.choices[0].message.content
print(translation_result)