Commit e753921

@@ -0,0 +1,70 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+import random
+from pathlib import Path
+
+from glom import glom
+from google import genai
+from google.genai.types import GenerateContentConfig, HttpOptions, UploadFileConfig
+from loguru import logger
+from pydantic import BaseModel
+
+from config import ASR
+
+
+class Transcription(BaseModel):
+    start_minute: int
+    start_second: int
+    sentence_with_punctuation: str
+
+
+async def gemini_asr(path: str | Path, voice_format: str) -> str:
+    """Gemini ASR.
+
+    https://ai.google.dev/gemini-api/docs/audio
+    """
+    path = Path(path)
+    if voice_format == "ogg-opus":
+        voice_format = "ogg"
+
+    api_keys = [x.strip() for x in ASR.GEMINI_API_KEY.split(",") if x.strip()]
+    random.shuffle(api_keys)
+    res = ""
+    for key in api_keys:
+        try:
+            logger.debug(f"ASR {path.as_posix()} via {ASR.GEMINI_BASR_URL}, proxy={ASR.GEMINI_PROXY}")
+            client = genai.Client(api_key=key, http_options=HttpOptions(base_url=ASR.GEMINI_BASR_URL, async_client_args={"proxy": ASR.GEMINI_PROXY}))
+            uploaded_audio = await client.aio.files.upload(file=path, config=UploadFileConfig(mime_type=f"audio/{voice_format}"))
+            logger.debug(uploaded_audio)
+            response = await client.aio.models.generate_content(
+                model=ASR.GEMINI_MODEL,
+                contents=["请转录这段音频", uploaded_audio],
+                config=GenerateContentConfig(
+                    response_mime_type="application/json",
+                    response_schema=list[Transcription],
+                    temperature=0,
+                ),
+            )
+            if parsed := glom(response.model_dump(), "parsed"):
+                return generate_transcription(parsed)
+        except Exception as e:
+            logger.error(e)
+            res = str(e)
+    return res
+
+
+def generate_transcription(items: list[dict]) -> str:
+    res = ""
+    show_timestamp = False
+    for idx, item in enumerate(items):
+        sentence: str = item["sentence_with_punctuation"]
+        if not sentence:
+            continue
+
+        if idx == 0 or res.endswith((".", "。")):
+            show_timestamp = True
+        if show_timestamp:
+            res += f"\n[{item['start_minute']}:{item['start_second']:02d}] {sentence}"
+        else:
+            res += sentence
+    return res.strip()

@@ -7,31 +7,11 @@ from pathlib import Path
 
 import anyio
 
-from config import ASR_MAX_DURATION, FILE_SERVER, PROXY, TOKEN
+from config import ASR
 from networking import hx_req
 from utils import nowdt
 
 
-def get_asr_method(duration: float, file_size: int) -> tuple[str, list[str]]:
-    """Get tencent ASR method and supported file types."""
-    if duration > ASR_MAX_DURATION:
-        return f"无法识别时长超过{ASR_MAX_DURATION}秒的音频, 当前音频时长: {duration}秒", []
-
-    asr_method = ""
-    if duration < 60 and file_size < 3 * 1024 * 1024:
-        asr_method = "single_sentence_asr"  # 一句话识别
-        supported_ext = ["aac", "amr", "m4a", "mp3", "oga", "ogg-opus", "ogg", "opus", "pcm", "silk", "speex", "wav"]
-    elif 60 <= duration <= 300 and file_size < 100 * 1024 * 1024:
-        asr_method = "flash_asr"  # 录音文件识别极速版
-        supported_ext = ["aac", "amr", "m4a", "mp3", "oga", "ogg-opus", "ogg", "opus", "pcm", "silk", "speex", "wav"]
-    elif FILE_SERVER:
-        asr_method = "async_asr"  # 录音文件识别 (异步请求)
-        supported_ext = ["3gp", "aac", "amr", "flac", "flv", "m4a", "mp3", "mp4", "oga", "ogg-opus", "ogg", "opus", "wav", "wma"]
-    elif not FILE_SERVER:
-        return "音频过长, 需使用音频URL格式调用ASR\n请联系管理员配置`FILE_SERVER`变量", []
-    return asr_method, supported_ext
-
-
 def sign(key, msg):
     return hmac.new(key, msg.encode("utf-8"), hashlib.sha256).digest()
 
@@ -44,22 +24,22 @@ async def flash_asr(path: str | Path, engine: str, voice_format: str) -> dict:
     """
     now = nowdt()
     params = {
-        "secretid": TOKEN.TENCENT_ASR_SECRET_ID,
+        "secretid": ASR.TENCENT_SECRET_ID,
         "engine_type": engine,
         "voice_format": voice_format,
         "timestamp": str(int(now.timestamp())),
     }
-    signstr = f"POSTasr.cloud.tencent.com/asr/flash/v1/{TOKEN.TENCENT_ASR_APPID}?"
+    signstr = f"POSTasr.cloud.tencent.com/asr/flash/v1/{ASR.TENCENT_APPID}?"
     for k, v in dict(sorted(params.items())).items():  # type: ignore
         signstr += f"{k}={v}&"
     signstr = signstr[:-1]  # strip last "&"
 
-    hmacstr = hmac.new(TOKEN.TENCENT_ASR_SECRET_KEY.encode("utf-8"), signstr.encode("utf-8"), hashlib.sha1).digest()
+    hmacstr = hmac.new(ASR.TENCENT_SECRET_KEY.encode("utf-8"), signstr.encode("utf-8"), hashlib.sha1).digest()
     signature = base64.b64encode(hmacstr).decode("utf-8")
     headers = {"Host": "asr.cloud.tencent.com", "authorization": signature}
     url = f"https://{signstr.removeprefix('POST')}"
     async with await anyio.open_file(path, "rb") as f:
-        return await hx_req(url, method="POST", headers=headers, post_content=await f.read(), timeout=60, proxy=PROXY.TENCENT, check_kv={"code": 0}, check_keys=["flash_result"])
+        return await hx_req(url, method="POST", headers=headers, post_content=await f.read(), timeout=60, proxy=ASR.TENCENT_PROXY, check_kv={"code": 0}, check_keys=["flash_result"])
 
 
 def generate_tencent_cloud_headers(
@@ -68,8 +48,8 @@ def generate_tencent_cloud_headers(
     service: str = "asr",
     host: str = "asr.tencentcloudapi.com",
     version: str = "2019-06-14",
-    secret_id: str = TOKEN.TENCENT_ASR_SECRET_ID,
-    secret_key: str = TOKEN.TENCENT_ASR_SECRET_KEY,
+    secret_id: str = ASR.TENCENT_SECRET_ID,
+    secret_key: str = ASR.TENCENT_SECRET_KEY,
 ) -> dict:
     """Generate TencentCloudAPI Headers (TC3-HMAC-SHA256)."""
     algorithm = "TC3-HMAC-SHA256"
@@ -128,7 +108,7 @@ async def single_sentence_asr(path: str | Path, engine: str, voice_format: str)
         headers=headers,
         post_content=payload.encode("utf-8"),
         timeout=60,
-        proxy=PROXY.TENCENT,
+        proxy=ASR.TENCENT_PROXY,
         check_keys=["Response.Result"],
     )
 
@@ -147,7 +127,7 @@ async def create_async_asr(url: str, engine: str) -> dict:
         headers=headers,
         post_content=payload.encode("utf-8"),
         timeout=600,
-        proxy=PROXY.TENCENT,
+        proxy=ASR.TENCENT_PROXY,
         check_keys=["Response.Data.TaskId"],
     )
 
@@ -166,6 +146,6 @@ async def query_async_asr(task_id: int) -> dict:
         headers=headers,
         post_content=payload.encode("utf-8"),
         timeout=600,
-        proxy=PROXY.TENCENT,
+        proxy=ASR.TENCENT_PROXY,
         check_keys=["Response.Data.StatusStr"],
     )

@@ -0,0 +1,50 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+
+from config import ASR, FILE_SERVER
+
+
+def get_asr_method(duration: float, file_size: int) -> tuple[str, list[str]]:
+    """Get ASR method and supported file types."""
+    if duration < 60:
+        asr_engine = ASR.SHORT_ENGINE
+    elif 60 <= duration <= 300:
+        asr_engine = ASR.MIDDLE_ENGINE
+    else:
+        asr_engine = ASR.LONG_ENGINE
+
+    if asr_engine.lower() == "tencent":
+        return get_tencent_asr_method(duration, file_size)
+    if asr_engine.lower() == "gemini":
+        return get_gemini_asr_method(duration)
+    return f"ASR Engine: {asr_engine} is not support for duration: {duration}, filesize: {file_size}", []
+
+
+def get_tencent_asr_method(duration: float, file_size: int) -> tuple[str, list[str]]:
+    if duration > ASR.TENCENT_MAX_DURATION:
+        return f"无法识别时长超过{ASR.TENCENT_MAX_DURATION}秒的音频, 当前音频时长: {duration}秒", []
+    if not all([ASR.TENCENT_APPID, ASR.TENCENT_SECRET_ID, ASR.TENCENT_SECRET_KEY]):
+        return "请设置Tencent ASR相关环境变量", []
+
+    asr_method = ""
+    if duration < 60 and file_size < 3 * 1024 * 1024:
+        asr_method = "single_sentence_asr"  # 一句话识别
+        supported_ext = ["aac", "amr", "m4a", "mp3", "oga", "ogg-opus", "ogg", "opus", "pcm", "silk", "speex", "wav"]
+    elif 60 <= duration <= 300 and file_size < 100 * 1024 * 1024:
+        asr_method = "flash_asr"  # 录音文件识别极速版
+        supported_ext = ["aac", "amr", "m4a", "mp3", "oga", "ogg-opus", "ogg", "opus", "pcm", "silk", "speex", "wav"]
+    elif FILE_SERVER:
+        asr_method = "async_asr"  # 录音文件识别 (异步请求)
+        supported_ext = ["3gp", "aac", "amr", "flac", "flv", "m4a", "mp3", "mp4", "oga", "ogg-opus", "ogg", "opus", "wav", "wma"]
+    elif not FILE_SERVER:
+        return "音频过长, 需使用音频URL格式调用ASR\n请联系管理员配置`FILE_SERVER`变量", []
+    return asr_method, supported_ext
+
+
+def get_gemini_asr_method(duration: float) -> tuple[str, list[str]]:
+    if duration > ASR.GEMINI_MAX_DURATION:
+        return f"无法识别时长超过{ASR.GEMINI_MAX_DURATION}秒的音频, 当前音频时长: {duration}秒", []
+    if not ASR.GEMINI_API_KEY:
+        return "请设置`ASR_GEMINI_API_KEY`环境变量", []
+    return "gemini", ["aac", "aiff", "flac", "mp3", "oga", "ogg", "opus", "wav"]

@@ -11,7 +11,9 @@ from loguru import logger
 from pyrogram.client import Client
 from pyrogram.types import Message
 
-from asr.tecent_asr import create_async_asr, flash_asr, get_asr_method, query_async_asr, single_sentence_asr
+from asr.gemini_asr import gemini_asr
+from asr.tecent_asr import create_async_asr, flash_asr, query_async_asr, single_sentence_asr
+from asr.utils import get_asr_method
 from config import CAPTION_LENGTH, FILE_SERVER, PREFIX
 from messages.parser import parse_msg
 from messages.progress import modify_progress
@@ -107,21 +109,21 @@ async def voice_to_text(
         asr_engine = f"16k_{matched.group(1)}"
     asr_engine = asr_engine.replace("16k_fy", "16k_zh_dialect")  # fix dialect engine code
 
+    duration = trigger_info["duration"]
+    asr_method, supported_ext = get_asr_method(duration, trigger_info["file_size"])
+    if asr_method not in ["single_sentence_asr", "flash_asr", "async_asr", "gemini"]:
+        await modify_progress(text=asr_method, force_update=True, **kwargs)
+        return
+
     msg = f"Recieved {trigger_info['mtype']} message, start recognizing by {ENGINE_MAP.get(asr_engine, 'Unknown')}..."
     logger.info(msg)
     if kwargs.get("show_progress"):
         res = await send2tg(client, message, texts=msg, **kwargs)
         kwargs["progress"] = res[0]
-    if asr_engine not in ENGINE_MAP:
+    if asr_method != "gemini" and asr_engine not in ENGINE_MAP:
         await modify_progress(text=f"Unsupported ASR engine: {asr_engine}", force_update=True, **kwargs)
         return
 
-    duration = trigger_info["duration"]
-    asr_method, supported_ext = get_asr_method(duration, trigger_info["file_size"])
-    if asr_method not in ["single_sentence_asr", "flash_asr", "async_asr"]:
-        await modify_progress(text=asr_method, force_update=True, **kwargs)
-        return
-
     path: str | Path = await trigger_message.download()  # type: ignore
     path = Path(path).expanduser().resolve()
     if not path.is_file():
@@ -131,8 +133,8 @@ async def voice_to_text(
         return
     voice_format = path.suffix.lstrip(".")
     if voice_format not in supported_ext:
-        path = convert_to_audio(path, ext="m4a")
-        voice_format = "m4a"
+        path = convert_to_audio(path, ext="aac", codec="aac")
+        voice_format = "aac"
     asr_method, supported_ext = get_asr_method(duration, file_size=Path(path).stat().st_size)  # match again based on converted file
     path = path.rename(path.with_stem(rand_string()))  # sanitize filename. (for Tencent Signature v3)
 
@@ -140,14 +142,44 @@ async def voice_to_text(
         voice_format = "ogg-opus"
 
     logger.debug(f"Recognizing {voice_format} audio [{duration}s] by {asr_engine}: {path.as_posix()}")
+    res = await asr_file(path, asr_method, voice_format, asr_engine)
+    if error := res.get("error"):
+        await modify_progress(text=error, force_update=True, **kwargs)
+        return
+    if texts := res.get("texts"):
+        final = f"{BEGINNING}\n{texts}"
+        logger.success(f"{final!r}")
+        # send results
+        target_chat = kwargs["target_chat"] if kwargs.get("target_chat") else this_info["cid"]
+        reply_parameters = get_reply_to(trigger_info["mid"], kwargs.get("reply_msg_id", 0))
+        length = await count_without_entities(final)
+        if length < CAPTION_LENGTH:  # short
+            await client.copy_message(chat_id=to_int(target_chat), from_chat_id=trigger_info["cid"], message_id=trigger_info["mid"], caption=final, reply_parameters=reply_parameters)
+        else:  # long
+            final = final.removeprefix(f"{BEGINNING}\n")
+            with io.BytesIO(final.encode("utf-8")) as f:
+                await client.send_document(to_int(target_chat), f, file_name="语音识别结果.txt", reply_parameters=reply_parameters)
+        await modify_progress(del_status=True, **kwargs)
+
+    with contextlib.suppress(Exception):
+        if this_info["mtype"] == "text":
+            await message.delete()
+
+
+async def asr_file(path: str | Path, method: str, voice_format: str, asr_engine: str = "16k_zh-PY") -> dict:
+    """Get ASR texts of an audio file."""
+    res = {}
+    path = Path(path).expanduser().resolve()
+    if not path.is_file():
+        return {"error": f"{path} is not exist"}
     try:
-        if asr_method == "single_sentence_asr":
+        if method == "single_sentence_asr":
             resp = await single_sentence_asr(path, asr_engine, voice_format)
-            texts = glom(resp, "Response.Result", default="❌无法识别").replace("。", "。\n")
-        elif asr_method == "flash_asr":
+            texts = glom(resp, "Response.Result").replace("。", "。\n")
+        elif method == "flash_asr":
             resp = await flash_asr(path, asr_engine, voice_format)
-            texts = glom(resp, "flash_result.0.text", default="❌无法识别").replace("。", "。\n")
-        elif asr_method == "async_asr":
+            texts = glom(resp, "flash_result.0.text").replace("。", "。\n")
+        elif method == "async_asr":
             resp = await create_async_asr(f"{FILE_SERVER}/{path.name}", asr_engine)
             task_id = resp["Response"]["Data"]["TaskId"]
             logger.success(f"ASR任务提交成功, TaskID: {task_id}")
@@ -159,36 +191,24 @@ async def voice_to_text(
                 result = await query_async_asr(task_id)
                 status = result["Response"]["Data"]["StatusStr"]
             if status == "success":
-                texts = glom(result, "Response.Data.Result", default="❌无法识别")
+                texts = glom(result, "Response.Data.Result")
                 texts = re.sub(r"\[.*?\]\s*", "", texts)
             else:
-                texts = glom(result, "Response.Data.ErrorMsg", default="❌无法识别")
-
-        final = f"{BEGINNING}\n{texts}"
-        logger.success(f"{final!r}")
-
-        # send results
-        target_chat = kwargs["target_chat"] if kwargs.get("target_chat") else this_info["cid"]
-        reply_parameters = get_reply_to(trigger_info["mid"], kwargs.get("reply_msg_id", 0))
-        length = await count_without_entities(final)
-        if length < CAPTION_LENGTH:  # short
-            await client.copy_message(chat_id=to_int(target_chat), from_chat_id=trigger_info["cid"], message_id=trigger_info["mid"], caption=final, reply_parameters=reply_parameters)
-        else:  # long
-            final = final.removeprefix(f"{BEGINNING}\n")
-            with io.BytesIO(final.encode("utf-8")) as f:
-                await client.send_document(to_int(target_chat), f, file_name="语音识别结果.txt", reply_parameters=reply_parameters)
-        await modify_progress(del_status=True, **kwargs)
+                texts = glom(result, "Response.Data.ErrorMsg")
+                res["error"] = texts
+        elif method == "gemini":
+            texts = await gemini_asr(path, voice_format)
+        res["texts"] = texts
+        logger.success(f"{texts!r}")
     except Exception as e:
         error = f"Failed to recognize audio: {e}"
         if "resp" in locals() and resp.get("hx_error"):
             error += f"\n{resp['hx_error']}"
         logger.error(f"Failed to recognize audio: {e}")
-        await modify_progress(text=error, force_update=True, **kwargs)
+        res["error"] = error
     finally:
         path.unlink(missing_ok=True)
-    with contextlib.suppress(Exception):
-        if this_info["mtype"] == "text":
-            await message.delete()
+    return res
 
 
 def get_trigger_message(

@@ -19,7 +19,6 @@ REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", "60"))  # seconds
 TEXT_LENGTH = int(os.getenv("TEXT_LENGTH", "4096"))  # Maximum length of text message
 CAPTION_LENGTH = int(os.getenv("CAPTION_LENGTH", "1024"))  # 4096 for Premium user
 MAX_FILE_BYTES = int(os.getenv("MAX_FILE_BYTES", "2000")) * 1024 * 1024  # 4000 MB for Premium user
-ASR_MAX_DURATION = int(os.getenv("ASR_MAX_DURATION", "3600"))
 MAX_MESSAGE_RETRIEVED = int(os.getenv("MAX_MESSAGE_RETRIEVED", "1000000"))  # Maximum number of messages to retrieve
 MAX_MESSAGE_SUMMARY = int(os.getenv("MAX_MESSAGE_SUMMARY", "9999"))  # Maximum number of messages to summay
 READING_SPEED = int(os.getenv("READING_SPEED", "600"))  # words per minute
@@ -109,9 +108,6 @@ class PROVIDER:  # default API provider
 class TOKEN:
     SESSION_STRING = os.getenv("SESSION_STRING", "")
     TIKHUB = os.getenv("TIKHUB_TOKEN", "")
-    TENCENT_ASR_APPID = os.getenv("TENCENT_ASR_APPID", "")
-    TENCENT_ASR_SECRET_ID = os.getenv("TENCENT_ASR_SECRET_ID", "")
-    TENCENT_ASR_SECRET_KEY = os.getenv("TENCENT_ASR_SECRET_KEY", "")
     YOUTUBE_API_KEY = os.getenv("YOUTUBE_API_KEY", "")
     CMC_API_KEY = os.getenv("CMC_API_KEY", "")
     GOOGLE_SEARCH_API_KEY = os.getenv("GOOGLE_SEARCH_API_KEY", "")
@@ -123,7 +119,6 @@ class PROXY:  # format: socks5://127.0.0.1:7890
     TELEGRAM = os.getenv("TELEGRAM_PROXY", None)  # Telegram
     WORKERS = os.getenv("WORKERS_PROXY", "")  # https://github.com/netnr/workers
     XHS = os.getenv("XHS_PROXY", None)  # Banned VPS IP, need residential proxy
-    TENCENT = os.getenv("TENCENT_PROXY", None)  # Banned oversea IP, need a back to China proxy
     GPT = os.getenv("GPT_PROXY", None)
     DOUYIN = os.getenv("DOUYIN_PROXY", None)
     TIKTOK = os.getenv("TIKTOK_PROXY", None)
@@ -252,3 +247,19 @@ class DB:
     CF_R2_BUCKET_NAME = os.getenv("CF_R2_BUCKET_NAME", "bennybot")
     CF_R2_ACCESS_KEY_ID = os.getenv("CF_R2_ACCESS_KEY_ID", "")
     CF_R2_SECRET_ACCESS_KEY = os.getenv("CF_R2_SECRET_ACCESS_KEY", "")
+
+
+class ASR:
+    SHORT_ENGINE = os.getenv("ASR_SHORT_ENGINE", "tencent")  # duration < 60s
+    MIDDLE_ENGINE = os.getenv("ASR_MIDDLE_ENGINE", "tencent")  # 60s <= duration <= 300s
+    LONG_ENGINE = os.getenv("ASR_LONG_ENGINE", "gemini")  # duration > 300s
+    GEMINI_BASR_URL = os.getenv("ASR_GEMINI_BASR_URL", "https://generativelanguage.googleapis.com/")
+    GEMINI_API_KEY = os.getenv("ASR_GEMINI_API_KEY", "")  # comma separated keys for load balance. e.g. "key1,key2,key3"
+    GEMINI_MAX_DURATION = int(os.getenv("ASR_GEMINI_MAX_DURATION", "34200"))  # 9.5 hour
+    GEMINI_MODEL = os.getenv("ASR_GEMINI_MODEL", "gemini-2.0-flash")
+    GEMINI_PROXY = os.getenv("ASR_GEMINI_PROXY", None)
+    TENCENT_APPID = os.getenv("ASR_TENCENT_APPID", "")
+    TENCENT_MAX_DURATION = int(os.getenv("ASR_TENCENT_MAX_DURATION", "3600"))  # 1 hour
+    TENCENT_PROXY = os.getenv("ASR_TENCENT_PROXY", None)  # Banned oversea IP, need a back to China proxy
+    TENCENT_SECRET_ID = os.getenv("ASR_TENCENT_SECRET_ID", "")
+    TENCENT_SECRET_KEY = os.getenv("ASR_TENCENT_SECRET_KEY", "")

@@ -6,6 +6,8 @@ dependencies = [
   "cacheout>=0.16.0",
   "feedparser>=6.0.11",
   "glom>=24.11.0",
+  "google-genai>=1.12.1",
+  "httpx-curl-cffi>=0.1.3",
   "httpx[http2,socks]>=0.28.1",
   "loguru>=0.7.2",
   "openai>=1.60.1",
@@ -22,7 +24,7 @@ dependencies = [
   "uvloop>=0.21.0",
   "youtube-transcript-api>=0.6.3",
   "yt-dlp>=2025.1.12rc",
-  "httpx-curl-cffi>=0.1.3",
+  "python-magic>=0.4.27",
 ]
 name = "bennybot"
 requires-python = ">=3.11"
@@ -31,9 +33,6 @@ version = "0.1.0"
 [dependency-groups]
 dev = ["ipdb>=0.13.13"]
 
-[tool.uv]
-environments = ["sys_platform == 'darwin'", "sys_platform == 'linux'"]
-
 [tool.ruff]
 cache-dir = "~/.cache/ruff"
 force-exclude = true

@@ -1,22 +1,14 @@
 version = 1
 revision = 1
 requires-python = ">=3.11"
-resolution-markers = [
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+    { name = "aiohttp" },
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+    { name = "idna" },
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 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "tzlocal", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
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-    { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "soupsieve" },
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-    { name = "yt-dlp", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "aioboto3" },
+    { name = "apscheduler" },
+    { name = "beautifulsoup4" },
+    { name = "cacheout" },
+    { name = "feedparser" },
+    { name = "glom" },
+    { name = "google-genai" },
+    { name = "httpx", extra = ["http2", "socks"] },
+    { name = "httpx-curl-cffi" },
+    { name = "loguru" },
+    { name = "openai" },
+    { name = "pillow" },
+    { name = "pillow-heif" },
+    { name = "puremagic" },
+    { name = "pyrotgfork" },
+    { name = "pysocks" },
+    { name = "pytgcrypto" },
+    { name = "python-ffmpeg" },
+    { name = "python-magic" },
+    { name = "pyyaml" },
+    { name = "quickchart-io" },
+    { name = "tiktoken" },
+    { name = "uvloop" },
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+    { name = "yt-dlp" },
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 [package.dev-dependencies]
 dev = [
-    { name = "ipdb", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "ipdb" },
 ]
 
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     { name = "glom", specifier = ">=24.11.0" },
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     { name = "pytgcrypto", specifier = ">=1.2.9.2" },
     { name = "python-ffmpeg", specifier = ">=2.0.12" },
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-    { name = "s3transfer", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "botocore" },
+    { name = "jmespath" },
+    { name = "s3transfer" },
 ]
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-    { name = "urllib3", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
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 dependencies = [
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