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				https://github.com/cdryzun/tg_bot_collections.git
				synced 2025-11-04 08:46:44 +08:00 
			
		
		
		
	feat: chatgpt photo stream
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		@ -174,26 +174,19 @@ def chatgpt_pro_handler(message: Message, bot: TeleBot) -> None:
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        return
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def _image_to_data_uri(file_path):
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    with open(file_path, "rb") as image_file:
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        encoded_image = base64.b64encode(image_file.read()).decode("utf-8")
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        return f"data:image/png;base64,{encoded_image}"
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def chatgpt_photo_handler(message: Message, bot: TeleBot) -> None:
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    s = message.caption
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    reply_message = bot.reply_to(
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        message,
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        "Generating chatgpt vision answer please wait.",
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    )
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    prompt = s.strip()
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    reply_id = bot_reply_first(message, "ChatGPT Vision", bot)
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    # get the high quaility picture.
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    max_size_photo = max(message.photo, key=lambda p: p.file_size)
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    file_path = bot.get_file(max_size_photo.file_id).file_path
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    downloaded_file = bot.download_file(file_path)
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    with open("chatgpt_temp.jpg", "wb") as temp_file:
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        temp_file.write(downloaded_file)
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    with open("chatgpt_temp.jpg", "rb") as image_file:
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        image_data = image_file.read()
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    base64_image_data = base64.b64encode(image_data).decode("utf-8")
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    try:
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        r = client.chat.completions.create(
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            max_tokens=1024,
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@ -205,28 +198,54 @@ def chatgpt_photo_handler(message: Message, bot: TeleBot) -> None:
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                        {
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                            "type": "image_url",
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                            "image_url": {
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                                "url": _image_to_data_uri("chatgpt_temp.jpg")
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                                "url": f"data:image/jpeg;base64,{base64_image_data}"
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                            },
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                        },
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                    ],
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                }
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            ],
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            model=CHATGPT_PRO_MODEL,
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            stream=True,
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        )
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        bot.reply_to(
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            message,
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            "ChatGPT vision answer:\n"
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            + r.choices[0].message.content.encode("utf8").decode(),
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        )
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        s = "ChatGPT Vision answer:\n"
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        start = time.time()
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        for chunk in r:
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            if chunk.choices[0].delta.content is None:
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                break
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            s += chunk.choices[0].delta.content
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            if time.time() - start > 1.7:
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                start = time.time()
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                try:
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                    bot.edit_message_text(
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                        message_id=reply_id.message_id,
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                        chat_id=reply_id.chat.id,
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                        text=convert(s),
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                        parse_mode="MarkdownV2",
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                    )
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                except Exception as e:
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                    print(str(e))
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        try:
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            # maybe not complete
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            # maybe the same message
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            bot.edit_message_text(
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                message_id=reply_id.message_id,
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                chat_id=reply_id.chat.id,
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                text=convert(s),
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                parse_mode="MarkdownV2",
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            )
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        except Exception as e:
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            print(str(e))
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            return
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    except Exception as e:
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        print(e)
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        print(str(e))
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        bot.reply_to(
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            message,
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            "ChatGPT vision answer:\n" + "chatgpt vision answer wrong",
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            "ChatGPT Vision answer:\n" + "ChatGPT Vision answer timeout",
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            parse_mode="MarkdownV2",
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        )
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    finally:
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        bot.delete_message(reply_message.chat.id, reply_message.message_id)
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        return
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def register(bot: TeleBot) -> None:
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