为了让你的代码能够正常工作并翻译 srt 字幕文件,你需要确保以下几点:
1. 正确设置 `messages` 参数。
2. 异常处理(如处理 API 请求失败的情况)。
下面是修正后的代码示例,包含了必要的参数和处理逻辑:
import g4f
from g4f.client import Client
client = Client()
def srtFileGPTtran(questionfile, srtZhFileNameAndPath):
with open(questionfile, "r", encoding="utf-8") as file:
srt_content = file.read()
question_content = "translate the following subtitles text to Chinese, treat as one continuous text:\n" + srt_content
print("ChatGPT is working...")
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a professional translator."},
{"role": "user", "content": question_content}
]
)
reply = response.choices[0].message['content']
with open(srtZhFileNameAndPath, "w", encoding="utf-8") as file:
file.write(reply)
srtEnFileNameMergeAndPath = './1fr.srt'
srtZhFileNameAndPath = './1zh.srt'
srtFileGPTtran(srtEnFileNameMergeAndPath, srtZhFileNameAndPath)
让我们来解释一下关键部分:
1. **读取文件内容**:
with open(questionfile, "r", encoding="utf-8") as file:
srt_content = file.read()
2. **构建问题内容**:
question_content = "translate the following subtitles text to Chinese, treat as one continuous text:\n" + srt_content
3. **创建消息**:
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a professional translator."},
{"role": "user", "content": question_content}
]
)
4. **处理回复并写入文件**:
reply = response.choices[0].message['content']
with open(srtZhFileNameAndPath, "w", encoding="utf-8") as file:
file.write(reply)
确保你要翻译的文件路径和文件名都是正确的。此外,请确保你的 `g4f` API 调用配置和参数都是准确无误的。这样可以确保你的代码能够正常运行并生成翻译后的 srt 文件。
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