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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2020-2024 (c) Randy W @xtdevs, @xtsea
#
# from : https://github.com/TeamKillerX
# Channel : @RendyProjects
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <https://www.gnu.org/licenses/>.

import requests
import time
import json
import asyncio
import io
import os
import re
import base64
from PIL import Image
from pyrogram import *
from pyrogram import enums
from pyrogram import Client, filters
from pyrogram.types import *
from pyrogram.errors import *
from RyuzakiLib import FaceAI, FullStackDev, GeminiLatest, RendyDevChat
from config import *

from akn import send_log
from akn.utils.database import db
from akn.utils.logger import LOGS

import google.generativeai as genai
from google.api_core.exceptions import InvalidArgument

from akn.utils.scripts import progress
from akenoai import *
from akenoai.types import DifferentAPIDefault

js = AkenoXJs(DifferentAPIDefault()).connect()

async def remove_bg_myapi(return_image):
    with open(return_image, "rb") as image_file:
        encoded_string = base64.b64encode(image_file.read()).decode("utf-8")
    payload = {
        "image_base64": encoded_string
    }
    output_bg = "output.png"
    response = requests.post("https://randydev-meta-ai.hf.space/remove-bg-base64", json=payload)
    if response.status_code == 200:
        result_base64 = response.json().get("output_image_base64")
        with open(output_bg, "wb") as out_file:
            out_file.write(base64.b64decode(result_base64))
        return output_bg
    else:
        return None
    
async def geni_files_delete(name: str):
    url = f"https://generativelanguage.googleapis.com/v1beta/{name}"
    params = {"key": GOOGLE_API_KEY}
    response = requests.delete(url, params=params)
    if response.status_code != 200:
        return None
    return response.text

DISABLED_COMMNAD = [
    "onchat",
    "offchat",
    "start"
]

GEMINI_START_TEXT = """
Hey! {name}

I am ready to be a gemini bot developer

- Command: /onchat (pm or group)
- Command: /offchat (pm or group)
"""

@Client.on_message(
    ~filters.scheduled
    & filters.command(["start"])
    & ~filters.forwarded
)
async def startbot(client: Client, message: Message):
    buttons = [
        [
            InlineKeyboardButton(
                text="Developer",
                url=f"https://t.me/xtdevs"
            ),
            InlineKeyboardButton(
                text="Channel",
                url='https://t.me/RendyProjects'
            ),
        ],
        [
            InlineKeyboardButton(
                text="Donate Via Web",
                web_app=WebAppInfo(url="https://sociabuzz.com/randydev99/tribe")
            )
        ]
    ]
    await message.reply_text(
        text=GEMINI_START_TEXT.format(name=message.from_user.mention),
        disable_web_page_preview=True,
        reply_markup=InlineKeyboardMarkup(buttons)
    )

@Client.on_message(
    ~filters.scheduled
    & filters.command(["onchat"])
    & ~filters.forwarded
)
async def addchatbot_user(client: Client, message: Message):
    await db.add_chatbot(message.chat.id, client.me.id)
    await message.reply_text("Added chatbot user")

@Client.on_message(
    ~filters.scheduled
    & filters.command(["offchat"])
    & ~filters.forwarded
)
async def rmchatbot_user(client: Client, message: Message):
    await db.remove_chatbot(message.chat.id)
    await message.reply_text("ok stopped gemini")

@Client.on_message(
    filters.incoming
    & (
        filters.text
        | filters.photo
        | filters.video
        | filters.audio
        | filters.voice
        | filters.regex(r"\b(Randy|Rendi)\b(.*)", flags=re.IGNORECASE)
    )
    & (filters.private | filters.group)
    & ~filters.command(DISABLED_COMMNAD)
    & ~filters.bot
    & ~filters.via_bot
    & ~filters.forwarded,
    group=2,
)
async def chatbot_talk(client: Client, message: Message):
    genai.configure(api_key=GOOGLE_API_KEY)
    chat_user = await db.get_chatbot(message.chat.id)
    if not chat_user:
        return
    if message.reply_to_message and message.reply_to_message.from_user:
        if message.reply_to_message.from_user.id != client.me.id:
            return
    if message.photo:
        await client.send_chat_action(message.chat.id, enums.ChatAction.UPLOAD_PHOTO)
        await asyncio.sleep(1.5)
        file_path = await message.download()
        caption = message.caption or "What's this?"
        x = GeminiLatest(api_keys=GOOGLE_API_KEY)
        try:
            new_check_bg = re.findall(r"\bremover\b", caption)
            if caption == "remover":
                return await message.reply_text("i don't have, what do you mean by create remover?")
            if new_check_bg:
                new_js = None
                new_js = await message.reply_text("Please wait, it's still being processed")
                response_path = await remove_bg_myapi(file_path)
                if not response_path:
                    return await new_js.edit_text("Error try remover bg")
                await new_js.edit_text("Uploading image completed...")
                await message.reply_photo(
                    response_path,
                    progress=progress,
                    progress_args=(
                        new_js,
                        time.time(),
                        "Uploading image completed..."
                    )
                )
                await new_js.delete()
                return
            ai_reply = await message.reply_text(f"Processing...")
            await client.send_chat_action(message.chat.id, enums.ChatAction.TYPING)
            await asyncio.sleep(1.5)
            backup_chat = await db._get_chatbot_chat_from_db(message.from_user.id)
            backup_chat.append({"role": "user", "parts": [{"text": caption}]})
            response_reads = x.get_response_image(caption, file_path)
            if len(response_reads) > 4096:
                with open("chat.txt", "w+", encoding="utf8") as out_file:
                    out_file.write(response_reads)
                await message.reply_document(
                    document="chat.txt",
                    disable_notification=True
                )
                await ai_reply.delete()
                os.remove("chat.txt")
            else:
                await ai_reply.edit_text(response_reads)
            backup_chat.append({"role": "model", "parts": [{"text": response_reads}]})
            await db._update_chatbot_chat_in_db(message.from_user.id, backup_chat)
            await client.send_chat_action(message.chat.id, enums.ChatAction.CANCEL)
            os.remove(file_path)
            return
        except InvalidArgument as e:
            return await ai_reply.edit_text(f"Error: {e}")
        except Exception as e:
            return await ai_reply.edit_text(f"Error: {e}")

    if message.audio or message.voice:
        await client.send_chat_action(message.chat.id, enums.ChatAction.UPLOAD_AUDIO)
        await asyncio.sleep(1.5)
        if client.me.is_premium:
            ai_reply = await message.reply_text(f"{custom_loading}Processing...")
        else:
            ai_reply = await message.reply_text(f"Processing...")
        if message.audio:
            audio_file_name = await message.download()
        if message.voice:
            audio_file_name = await message.download()
        caption = message.caption or "What's this?"
        model = genai.GenerativeModel(
            model_name="gemini-1.5-flash",
            safety_settings={
                genai.types.HarmCategory.HARM_CATEGORY_HATE_SPEECH: genai.types.HarmBlockThreshold.BLOCK_NONE,
                genai.types.HarmCategory.HARM_CATEGORY_HARASSMENT: genai.types.HarmBlockThreshold.BLOCK_NONE,
                genai.types.HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: genai.types.HarmBlockThreshold.BLOCK_NONE,
                genai.types.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: genai.types.HarmBlockThreshold.BLOCK_NONE,
            }
        )
        backup_chat = await db._get_chatbot_chat_from_db(message.from_user.id)
        backup_chat.append({"role": "user", "parts": [{"text": caption}]})
        if client.me.is_premium:
            await ai_reply.edit_text(f"{custom_loading}Uploading file..")
        else:
            await ai_reply.edit_text("Uploading file..")
        audio_file = genai.upload_file(path=audio_file_name)
        while audio_file.state.name == "PROCESSING":
            await asyncio.sleep(10)
            audio_file = genai.get_file(audio_file.name)
        if audio_file.state.name == "FAILED":
            return await ai_reply.edit_text(f"Error: {audio_file.state.name}")
        try:
            await client.send_chat_action(message.chat.id, enums.ChatAction.TYPING)
            await asyncio.sleep(1.5)
            response = model.generate_content(
                [audio_file, caption],
                request_options={"timeout": 600}
            )
            if len(response.text) > 4096:
                with open("chat.txt", "w+", encoding="utf8") as out_file:
                    out_file.write(response.text)
                await message.reply_document(
                    document="chat.txt",
                    disable_notification=True
                )
                await ai_reply.delete()
                os.remove("chat.txt")
            else:
                await ai_reply.edit_text(response.text)
            backup_chat.append({"role": "model", "parts": [{"text": response.text}]})
            await db._update_chatbot_chat_in_db(message.from_user.id, backup_chat)
            await client.send_chat_action(message.chat.id, enums.ChatAction.CANCEL)
            audio_file.delete()
            os.remove(audio_file_name)
            return
        except InvalidArgument as e:
            return await ai_reply.edit_text(f"Error: {e}")
        except Exception as e:
            return await ai_reply.edit_text(f"Error: {e}")

    if message.video:
        await client.send_chat_action(message.chat.id, enums.ChatAction.UPLOAD_VIDEO)
        await asyncio.sleep(1.5)
        if client.me.is_premium:
            ai_reply = await message.reply_text(f"{custom_loading}Processing...")
        else:
            ai_reply = await message.reply_text(f"Processing...")
        video_file_name = await message.download(file_name="newvideo.mp4")
        caption = message.caption or "What's this?"
        model = genai.GenerativeModel(
            model_name="gemini-1.5-pro",
            safety_settings={
                genai.types.HarmCategory.HARM_CATEGORY_HATE_SPEECH: genai.types.HarmBlockThreshold.BLOCK_NONE,
                genai.types.HarmCategory.HARM_CATEGORY_HARASSMENT: genai.types.HarmBlockThreshold.BLOCK_NONE,
                genai.types.HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: genai.types.HarmBlockThreshold.BLOCK_NONE,
                genai.types.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: genai.types.HarmBlockThreshold.BLOCK_NONE,
            }
        )
        backup_chat = await db._get_chatbot_chat_from_db(message.from_user.id)
        backup_chat.append({"role": "user", "parts": [{"text": caption}]})
        if client.me.is_premium:
            await ai_reply.edit_text(f"{custom_loading}Uploading file..")
        else:
            await ai_reply.edit_text("Uploading file..")
        video_file = genai.upload_file(path=video_file_name)
        while video_file.state.name == "PROCESSING":
            await asyncio.sleep(10)
            video_file = genai.get_file(video_file.name)
        if video_file.state.name == "FAILED":
            return await ai_reply.edit_text(f"Error: {video_file.state.name}")
        try:
            await client.send_chat_action(message.chat.id, enums.ChatAction.TYPING)
            await asyncio.sleep(1.5)
            response = model.generate_content(
                [video_file, caption],
                request_options={"timeout": 600}
            )
            if len(response.text) > 4096:
                with open("chat.txt", "w+", encoding="utf8") as out_file:
                    out_file.write(response.text)
                await message.reply_document(
                    document="chat.txt",
                    disable_notification=True
                )
                await ai_reply.delete()
                os.remove("chat.txt")
            else:
                await ai_reply.edit_text(response.text)
            backup_chat.append({"role": "model", "parts": [{"text": response.text}]})
            await db._update_chatbot_chat_in_db(message.from_user.id, backup_chat)
            await client.send_chat_action(message.chat.id, enums.ChatAction.CANCEL)
            video_file.delete()
            os.remove(video_file_name)
            return
        except InvalidArgument as e:
            return await ai_reply.edit_text(f"Error: {e}")
        except Exception as e:
            return await ai_reply.edit_text(f"Error: {e}")

    if message.text:
        query_base = None
        start_time = time.time()
        await client.send_chat_action(message.chat.id, enums.ChatAction.TYPING)
        await asyncio.sleep(1.5)
        query = message.text.strip()
        match = re.search(r"\b(Randy|Rendi)\b(.*)", query, flags=re.IGNORECASE)
        if match:
            rest_of_sentence = match.group(2).strip()
            query_base = rest_of_sentence if rest_of_sentence else query
        else:
            query_base = query
        parts = query.split(maxsplit=1)
        command = parts[0].lower()
        pic_query = parts[1].strip() if len(parts) > 1 else ""
        new_check_flux_matches = re.findall(r"\bimage\b", query_base)
        if query_base == "image":
            return await message.reply_text("i don't have, what do you mean by image?")
        try:
            new_js = None
            backup_chat = await db._get_chatbot_chat_from_db(message.from_user.id)
            if new_check_flux_matches:
                new_js = await message.reply_text("Please wait, it's still being processed")
                try:
                    backup_chat.append({"role": "user", "parts": [{"text": query_base}]})
                    response_js = await js.image.create(
                        "black-forest-labs/flux-1-schnell",
                        image_read=True,
                        params_data={"query": query_base},
                    )
                    file_path = "randydev.jpg"
                    with open(file_path, "wb") as f:
                        f.write(response_js)
                    await new_js.edit_text("Uploading image completed...")
                    x = GeminiLatest(api_keys=GOOGLE_API_KEY)
                    response_reads = x.get_response_image("What this?", file_path)
                    end_time = time.time()
                    execution_time = end_time - start_time
                    await message.reply_photo(
                        file_path,
                        caption=response_reads + f"\nExecution time `{execution_time:.2f}` seconds",
                        progress=progress,
                        progress_args=(
                            new_js,
                            time.time(),
                            "Uploading image completed..."
                        )
                    )
                    backup_chat.append({"role": "model", "parts": [{"text": response_reads}]})
                    await db._update_chatbot_chat_in_db(message.from_user.id, backup_chat)
                    await new_js.delete()
                    return
                except ImageProcessFailed as e:
                    backup_chat.append({"role": "user", "parts": [{"text": query_base}]})
                    await new_js.edit_text("Please wait, Error try still processing...")
                    response_js = await js.image.create(
                        "black-forest-labs/flux-1-schnell",
                        image_read=True,
                        params_data={"query": query_base},
                    )
                    file_path = "randydev.jpg"
                    with open(file_path, "wb") as f:
                        f.write(response_js)
                    await new_js.edit_text("Uploading image completed...")
                    x = GeminiLatest(api_keys=GOOGLE_API_KEY)
                    response_reads = x.get_response_image("What this?", file_path)
                    end_time = time.time()
                    execution_time = end_time - start_time
                    await message.reply_photo(
                        file_path,
                        caption=response_reads + f"\nExecution time `{execution_time:.2f}` seconds",
                        progress=progress,
                        progress_args=(
                            new_js,
                            time.time(),
                            "Uploading image completed..."
                        )
                    )
                    backup_chat.append({"role": "model", "parts": [{"text": response_reads}]})
                    await db._update_chatbot_chat_in_db(message.from_user.id, backup_chat)
                    await new_js.delete()
                    return
                
                except MediaCaptionTooLong as e:
                    backup_chat.append({"role": "user", "parts": [{"text": query_base}]})
                    await new_js.edit_text("Please wait, caption too try still processing...")
                    response_js = await js.image.create(
                        "black-forest-labs/flux-1-schnell",
                        image_read=True,
                        params_data={"query": query_base},
                    )
                    file_path = "randydev.jpg"
                    with open(file_path, "wb") as f:
                        f.write(response_js)
                    await new_js.edit_text("Uploading image completed...")
                    x = GeminiLatest(api_keys=GOOGLE_API_KEY)
                    response_reads = x.get_response_image("What this?", file_path)
                    end_time = time.time()
                    execution_time = end_time - start_time
                    await message.reply_photo(
                        file_path,
                        caption=f"Execution time `{execution_time:.2f}` seconds",
                        progress=progress,
                        progress_args=(
                            new_js,
                            time.time(),
                            "Uploading image completed..."
                        )
                    )
                    backup_chat.append({"role": "model", "parts": [{"text": response_reads}]})
                    await db._update_chatbot_chat_in_db(message.from_user.id, backup_chat)
                    await new_js.delete()
                    return
                except Exception as e:
                    LOGS.error(f"Error new_check_flux_matches {str(e)}")
                    return await new_js.edit_text("Try again error image")
    
            model_flash = genai.GenerativeModel(
                model_name="gemini-1.5-flash"
            )
            backup_chat.append({"role": "user", "parts": [{"text": query_base}]})
            chat_session = model_flash.start_chat(history=backup_chat)
            response_data = chat_session.send_message(query_base)
            output = response_data.text
            if len(output) > 4096:
                with open("chat.txt", "w+", encoding="utf8") as out_file:
                    out_file.write(output)
                await message.reply_document(
                    document="chat.txt",
                    disable_notification=True
                )
                os.remove("chat.txt")
            else:
                await message.reply_text(output)
            backup_chat.append({"role": "model", "parts": [{"text": output}]})
            await db._update_chatbot_chat_in_db(message.from_user.id, backup_chat)
            await client.send_chat_action(message.chat.id, enums.ChatAction.CANCEL)
            return
        except Exception as e:
            return await message.reply_text(f"Error: {e}")