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import os
import gradio as gr
from openai import OpenAI
# 从环境变量加载API密钥
client = OpenAI(
api_key=os.getenv("DEEPSEEK_API_KEY"),
base_url="https://api.deepseek.com"
)
def generate_scenery(lyrics):
"""将中文歌词转换为纯自然风景描写的英文文本"""
response = client.chat.completions.create(
model="deepseek-chat",
messages=[
{"role": "system", "content": "你是一位自然诗人,请将中文歌词转化为英文的纯风景描写,严格避免任何人称代词或人物动作。只描述自然现象如风、光、水、植物等。"},
{"role": "user", "content": f"转换以下歌词(仅输出英文描写):\n{lyrics}"}
],
temperature=0.7,
max_tokens=300
)
return response.choices[0].message.content
# Gradio界面
with gr.Blocks(title="歌词转风景描写", theme=gr.themes.Soft()) as app:
gr.Markdown("## 🌿 中文歌词转英文风景描写")
with gr.Row():
with gr.Column():
input_text = gr.Textbox(
label="输入中文歌词",
placeholder="例:晚风吹来多么清凉...",
lines=5
)
btn = gr.Button("生成", variant="primary")
with gr.Column():
output_text = gr.Textbox(
label="英文风景描写",
lines=8,
interactive=False
)
# 示例数据
examples = gr.Examples(
examples=[
["对空气不停念你的名字"],
["会不会让你我重来一次"]
],
inputs=[input_text],
label="点击试试示例歌词"
)
btn.click(
fn=generate_scenery,
inputs=input_text,
outputs=output_text
)
app.launch(share = True) |