up date blog and model

.gitignore

@@ -7,4 +7,5 @@ resource.zip
 faq
 .gradio
 *.old
-get_audio.py
+get_audio.py
+.vscode

api.py

@@ -3,10 +3,21 @@ import pickle
 from datetime import datetime
 from pathlib import Path
 
-from fish_audio_sdk import Session, TTSRequest
+from fishaudio import FishAudio
+from fishaudio.utils import save
 from openai import OpenAI
 from tenacity import retry, stop_after_attempt, wait_exponential
 
+try:
+    from dotenv import load_dotenv
+
+    env_path = Path(os.path.dirname(__file__)) / ".env"
+    if env_path.exists():
+        load_dotenv(env_path)
+except ImportError:
+    pass
+
+# params
 INFO_audio_ID_dict = {
     "matsu": os.getenv("INFO_audio_matsu"),
     "ken": os.getenv("INFO_audio_ken"),
@@ -18,7 +29,7 @@ INFO_audio_ID_dict = {
 
 client = OpenAI(api_key=os.getenv("gpt"))
 #
-audio_client = Session(os.getenv("audio"))
+audio_client = FishAudio(api_key=os.getenv("audio"))
 
 PKL_FILE = "./resource/knowledge_data.pkl"
 
@@ -42,22 +53,11 @@ def save_pkl(file_name, data):
         pickle.dump(sorted_data, f)
 
 
-try:
-    from dotenv import load_dotenv
-
-    env_path = Path(os.path.dirname(__file__)) / ".env"
-    if env_path.exists():
-        load_dotenv(env_path)
-except ImportError:
-    pass
-# params
-
-
 @retry(
     stop=stop_after_attempt(5),
     wait=wait_exponential(multiplier=1, min=2, max=10),
 )
-def generate_item(prompt, sys_prompt, model="gpt-4.1-mini", temperature=1.0):
+def generate_item(prompt, sys_prompt, model="gpt-5.4-mini", temperature=1.0):
     # print("prompt=", prompt)
     # print("temperature=", temperature)
     response = client.chat.completions.create(
@@ -90,13 +90,20 @@ def get_embedding(text):
 def audio_text(text, audio_path, speaker_id):
     # TODO change speaker
     # print(speaker_id, ":", INFO_audio_ID_dict[speaker_id])
-
-    with open(audio_path, "wb") as f:
-        for chunk in audio_client.tts(
-            TTSRequest(
-                reference_id=INFO_audio_ID_dict[speaker_id], text=text, latency="normal"
-            ),
-            backend="s1",
-        ):
-            f.write(chunk)
+    audio = audio_client.tts.convert(
+        text=text,
+        reference_id=INFO_audio_ID_dict[speaker_id],
+        format="mp3",
+        model="s2-pro",
+    )
+    save(audio, audio_path)
+
+    # with open(audio_path, "wb") as f:
+    #     for chunk in audio_client.tts(
+    #         TTSRequest(
+    #             reference_id=INFO_audio_ID_dict[speaker_id], text=text, latency="normal"
+    #         ),
+    #         backend="s1",
+    #     ):
+    #         f.write(chunk)
     return audio_path

app.py

@@ -79,13 +79,11 @@ def answer_question(
     def run_audio_answer():
         run_audio_path = audio_text(answer_text, audio_file_path, speaker_flag)
         audio_str = base64.b64encode(open(run_audio_path, "rb").read()).decode("utf-8")
-        history[-2]["content"] = gr.HTML(
-            f"""
+        history[-2]["content"] = gr.HTML(f"""
             <audio controls>
                 <source src="data:audio/mp3;base64,{audio_str}" type="audio/mp3">
             </audio>
-            """
-        )
+            """)
         history[-2]["metadata"] = {"title": "🎧 音声返信", "status": "done"}
 
     if not audio_flag:
@@ -202,7 +200,7 @@ with gr.Blocks(title="勉強会", css=custom_css, head=custom_head, js=js_func)
             bubble_full_width=False,
             avatar_images=(
                 None,
-                "https://cdn.profile-image.st-hatena.com/users/saratoga623/profile.png?1728512391",
+                "https://assets.st-note.com/production/uploads/images/212145872/profile_ec44d8ebf5cfcb95f777ad3dacdeaacf.png?fit=bounds&format=jpeg&quality=85&width=330",
             ),
         )
 

blog_class.py

@@ -158,7 +158,7 @@ class knowledge_class:
             )
         print("user_prompt:", user_prompt)
         answer_text = generate_item(
-            user_prompt, SYS_Prompt, model="gpt-4.1", temperature=temperature
+            user_prompt, SYS_Prompt, model="gpt-5.4", temperature=temperature
         )
         audio_filename = save_md_and_get_audio(user_prompt, answer_text)
         return answer_text, info_title, audio_filename
@@ -216,7 +216,7 @@ class knowledge_class:
             chat_history=chat_history_str, question=new_query
         )
 
-        rewrite_question = generate_item(rw_prompt, REWRITE_SYS_Prompt, model="gpt-4.1")
+        rewrite_question = generate_item(rw_prompt, REWRITE_SYS_Prompt, model="gpt-5.4")
         print("rewrite_question:", rewrite_question)
 
         # get rewrite question
@@ -244,7 +244,7 @@ class knowledge_class:
         answer_text = generate_item(
             user_prompt,
             SYS_Prompt,
-            model="gpt-4.1",
+            model="gpt-5.4",
             temperature=temperature,
         )
         audio_filename = save_md_and_get_audio(user_prompt, answer_text)

design.py

@@ -70,7 +70,7 @@ function refresh() {
 
 title_html = """
 <div style="display: flex; align-items: center; justify-content: center;">
-    <img src="https://cdn.profile-image.st-hatena.com/users/saratoga623/profile.png?1728512391" style="width:50px; height:50px; margin-right:10px;">
+    <img src="https://assets.st-note.com/production/uploads/images/212145872/profile_ec44d8ebf5cfcb95f777ad3dacdeaacf.png" style="width:50px; height:50px; margin-right:10px;">
     <h1 style="margin: 0;">
         <a href="https://note.com/saratoga623" target="_blank" style="text-decoration: none; color: inherit;">
             プロジェクトマネジメント勉強会 <i class='fa fa-lightbulb-o'></i>

requirements.txt

@@ -5,6 +5,6 @@ openai==1.78.0
 # zyphra
 tenacity==9.1.2
 beautifulsoup4==4.13.4
-fish-audio-sdk==2025.6.3
+fish-audio-sdk==1.3.0
 lxml==5.4.0
 pydantic==2.10.6

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