lyric generator

app.py

@@ -100,14 +100,14 @@ def R1_infer1(theme, tags_gen, language):
 
 
 def R1_infer2(tags_lyrics, lyrics_input):
-    client = OpenAI(api_key=os.getenv('HS_DP_API'), base_url = "https://ark.cn-beijing.volces.com/api/v3")
+    client = OpenAI()
 
     llm_prompt = """
-    {lyrics_input}这是一首歌的歌词,每一行是一句歌词,{tags_lyrics}是我希望这首歌的风格，我现在想要给这首歌的每一句歌词打时间戳得到LRC，我希望时间戳分配应根据歌曲的标签、歌词的情感、节奏来合理推测，而非机械地按照歌词长度分配。第一句歌词的时间戳应考虑前奏长度，避免歌词从 `[00:00.00]` 直接开始。严格按照 LRC 格式输出歌词，每行格式为 `[mm:ss.xx]歌词内容`。最后的结果只输出LRC,不需要其他的解释。
+    {lyrics_input}This is the lyrics of a song. Each line is a line of lyrics. {tags_lyrics} is the style I want for this song. I now want to timestamp each line of lyrics of this song to get LRC. I hope that the timestamp allocation should be reasonably inferred based on the song tag, the emotion of the lyrics, and the rhythm, rather than mechanically allocated according to the length of the lyrics. The timestamp of the first line of lyrics should take into account the length of the prelude to avoid the lyrics starting directly from `[00:00.00]`. Output the lyrics strictly in LRC format, with each line in the format of `[mm:ss.xx] lyrics content`. The final result only outputs LRC, no other explanation is required.
     """
 
     response = client.chat.completions.create(
-        model="ep-20250304144033-nr9wl",
+        model="gpt-4o",
         messages=[
             {"role": "system", "content": "You are a professional musician who has been invited to make music-related comments."},
             {"role": "user", "content": llm_prompt.format(lyrics_input=lyrics_input, tags_lyrics=tags_lyrics)},