Upload meta_ai.py

akn/Meta/meta_ai.py

@@ -0,0 +1,118 @@
+#!/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 asyncio
+import os
+from pyrogram import *
+from pyrogram import enums
+from pyrogram import Client, filters
+from pyrogram.types import *
+from pyrogram.errors import *
+from config import *
+
+from akn.utils.logger import LOGS
+import datetime
+
+from huggingface_hub import InferenceClient
+
+from . import force_sub
+
+SYSTEM_PROMPT = f"""
+Your name is Randy Dev. A kind and friendly AI assistant that answers in a short and concise answer.
+Give short step-by-step reasoning if required.
+
+python language powered by @xtdevs on telegram support and language models Meta AI
+
+{datetime.datetime.now()}
+"""
+
+async def process_stream(message, prompt):
+    client_hf = InferenceClient(api_key=HF_KEY)
+    messages = [
+        {"role": "system", "content": SYSTEM_PROMPT},
+        {"role": "user", "content": prompt}
+    ]
+    stream = client_hf.chat.completions.create(
+        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
+        messages=messages,
+        max_tokens=500,
+        stream=True
+    )
+    accumulated_text = ""
+    for chunk in stream:
+        LOGS.info(chunk)
+        new_content = chunk.choices[0].delta.content
+        accumulated_text += new_content
+    return accumulated_text
+
+@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'
+            ),
+        ]
+    ]
+    await message.reply_text(
+        text="Woohoo! Welcome! I'm excited to get started as a Meta AI bot!\n\n• Command /ask hello",
+        disable_web_page_preview=True,
+        reply_markup=InlineKeyboardMarkup(buttons)
+    )
+
+@Client.on_message(
+    filters.private
+    & filters.command(["ask"])
+    & ~filters.forwarded
+)
+@force_sub
+async def askcmd(client: Client, message: Message):
+    if len(message.command) > 1:
+        prompt = message.text.split(maxsplit=1)[1]
+    elif message.reply_to_message:
+        prompt = message.reply_to_message.text
+    else:
+        return await message.reply_text("Give ask from Meta AI")
+    await client.send_chat_action(message.chat.id, enums.ChatAction.TYPING)
+    await asyncio.sleep(1.5)
+    try:
+        output = await process_stream(message, prompt)
+        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, disable_web_page_preview=True)
+        await client.send_chat_action(message.chat.id, enums.ChatAction.CANCEL)
+        return
+    except Exception as e:
+        return await message.reply_text(f"Error: {e}")