App2.py

import os
import json
import time
import gradio as gr
import google.generativeai as genai
from huggingface_hub import HfApi, hf_hub_download
from collections import deque

# APIキーの設定
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
hf_token = os.getenv("HF_TOKEN")
hf_api = HfApi(token=hf_token)

# Hugging Faceデータセットの設定
REPO_ID = "Sakalti/Gemini_ai_chat"
DATASET_FILE = "characters.jsonl"

# Geminiモデルの初期化
model = genai.GenerativeModel(model_name='gemini-2.0-flash')

# レートリミット用
request_times = deque()
REQUEST_LIMIT = 15
TIME_WINDOW = 60  # 秒

def is_rate_limited():
    now = time.time()
    while request_times and now - request_times[0] > TIME_WINDOW:
        request_times.popleft()
    if len(request_times) >= REQUEST_LIMIT:
        return True
    else:
        request_times.append(now)
        return False

# キャラクターの取得関数
def fetch_characters():
    try:
        file_path = hf_hub_download(repo_id=REPO_ID, filename=DATASET_FILE, repo_type="dataset", token=hf_token)
        with open(file_path, "r", encoding="utf-8") as f:
            return [json.loads(line) for line in f if line.strip()]
    except Exception as e:
        print(f"[ERROR] fetch_characters: {e}")
        return []

# キャラクターのアップロード関数
def upload_character(name, prompt):
    characters = fetch_characters()
    characters.append({"name": name, "prompt": prompt})
    temp_file = "temp_characters.jsonl"
    with open(temp_file, "w", encoding="utf-8") as f:
        for char in characters:
            f.write(json.dumps(char, ensure_ascii=False) + "\n")
    hf_api.upload_file(
        path_or_fileobj=temp_file,
        path_in_repo=DATASET_FILE,
        repo_id=REPO_ID,
        repo_type="dataset"
    )
    os.remove(temp_file)

# 応答生成関数
def generate_response(message, history, temperature, top_p, top_k, max_output_tokens, system_prompt):
    if is_rate_limited():
        return "⚠️ 1分間に15回までです。しばらく待ってください。", history, history

    gemini_history = []
    if system_prompt:
        gemini_history.append({"role": "user", "parts": [f"以下の指示に従ってAIキャラとして振る舞ってください：\n{system_prompt}"]})
    for user, bot in history:
        gemini_history.append({"role": "user", "parts": [user]})
        gemini_history.append({"role": "model", "parts": [bot]})
    gemini_history.append({"role": "user", "parts": [message]})

    response = model.generate_content(
        gemini_history,
        generation_config={
            "temperature": temperature,
            "top_p": top_p,
            "top_k": top_k,
            "max_output_tokens": int(max_output_tokens),
        }
    )

    history.append((message, response.text))
    return "", history, history

# Gradio UIの構築
with gr.Blocks(theme='Sakalti/Eternalstar') as demo:
    gr.Markdown("## Gemini AIキャラクターチャット")

    with gr.Tab("チャット"):
        chatbot = gr.Chatbot()
        msg = gr.Textbox(placeholder="メッセージを入力...")
        state = gr.State([])
        system_prompt = gr.Textbox(label="キャラのシステムプロンプト", lines=4)

        with gr.Row():
            temperature = gr.Slider(0.0, 1.0, value=0.7, label="Temperature")
            top_p = gr.Slider(0.0, 1.0, value=0.9, label="Top-p")
            top_k = gr.Slider(1, 100, value=40, label="Top-k")
            max_output_tokens = gr.Number(value=1024, label="Max Output Tokens", precision=0)

        msg.submit(generate_response,
                   inputs=[msg, state, temperature, top_p, top_k, max_output_tokens, system_prompt],
                   outputs=[msg, chatbot, state])

    with gr.Tab("キャラクター投稿"):
        char_name = gr.Textbox(label="キャラクター名")
        char_prompt = gr.Textbox(label="システムプロンプト", lines=5)
        submit_char = gr.Button("キャラクターを追加")
        char_status = gr.Textbox(label="ステータス", interactive=False)

        def post_character(name, prompt):
            try:
                upload_character(name, prompt)
                return "キャラクターをアップロードしました。"
            except Exception as e:
                return f"失敗しました: {e}"

        submit_char.click(post_character, inputs=[char_name, char_prompt], outputs=[char_status])

    with gr.Tab("キャラクター選択"):
        character_list = gr.Dropdown(choices=[], label="使用するキャラクターを選択")

        def refresh_characters():
            return gr.update(choices=[c["name"] for c in fetch_characters()])

        def load_prompt(name):
            for c in fetch_characters():
                if c.get("name") == name:
                    print(f"[DEBUG] 読み込み成功: {c}")
                    return c.get("prompt", "")
            print("[DEBUG] キャラが見つかりません")
            return ""

        character_list.change(load_prompt, inputs=[character_list], outputs=[system_prompt])
        demo.load(refresh_characters, outputs=[character_list])

demo.launch()