Removed cruft
This commit is contained in:
@@ -1,15 +1,3 @@
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"""
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telegram_inference_bot.py
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This module implements a Telegram bot that processes user messages and
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images, interacts with the OpenAI API to provide intelligent responses,
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and manages conversation history and temporary file storage for images.
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It supports the following commands:
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- /start: Initializes the bot and welcomes the user.
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- /clear: Clears the user's conversation history and any uploaded images.
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"""
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import json
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import json
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import os
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import os
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import importlib
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import importlib
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@@ -74,25 +62,10 @@ for tool in tools:
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functions.extend(tool.get_functions())
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functions.extend(tool.get_functions())
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async def start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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async def start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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"""
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Handles the /start command. Sends a welcome message to the user.
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Args:
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update (Update): Incoming update containing the message.
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context (ContextTypes.DEFAULT_TYPE): Context for the callback.
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"""
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logging.info("Bot started")
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logging.info("Bot started")
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await update.message.reply_text("Hello! I'm your AI assistant. How can I help you today? You can send me images and then ask questions about them.")
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await update.message.reply_text("Hello! I'm your AI assistant. How can I help you today? You can send me images and then ask questions about them.")
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async def clear(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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async def clear(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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"""
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Handles the /clear command. Clears the user's conversation history
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and any uploaded images.
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Args:
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update (Update): Incoming update containing the message.
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context (ContextTypes.DEFAULT_TYPE): Context for the callback.
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"""
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user_id = update.effective_user.id
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user_id = update.effective_user.id
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if user_id in conversation_history:
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if user_id in conversation_history:
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del conversation_history[user_id]
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del conversation_history[user_id]
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@@ -103,14 +76,6 @@ async def clear(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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await update.message.reply_text("Conversation history and image cleared. Let's start fresh!")
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await update.message.reply_text("Conversation history and image cleared. Let's start fresh!")
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async def handle_image(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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async def handle_image(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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"""
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Handles image uploads from users. Downloads the largest photo to
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a temporary file for further processing.
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Args:
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update (Update): Incoming update containing the image.
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context (ContextTypes.DEFAULT_TYPE): Context for the callback.
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"""
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user_id = update.effective_user.id
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user_id = update.effective_user.id
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# Get the largest available photo
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# Get the largest available photo
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@@ -128,14 +93,6 @@ async def handle_image(update: Update, context: ContextTypes.DEFAULT_TYPE) -> No
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await update.message.reply_text("I've received your image. What would you like to know about it?")
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await update.message.reply_text("I've received your image. What would you like to know about it?")
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async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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"""
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Processes incoming text messages from users, calls the OpenAI API
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for inference, and sends the assistant's reply back to the user.
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Args:
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update (Update): Incoming update containing the text message.
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context (ContextTypes.DEFAULT_TYPE): Context for the callback.
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"""
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try:
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try:
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user_id = update.effective_user.id
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user_id = update.effective_user.id
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user_message = update.message.text
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user_message = update.message.text
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@@ -1,11 +1,13 @@
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import os
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import openai
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import openai
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import json
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import json
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from tools.base_tool import BaseTool
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from tools.base_tool import BaseTool
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class PersonaTool(BaseTool):
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class PersonaTool(BaseTool):
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def __init__(self, api_key: str):
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def __init__(self):
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super().__init__()
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super().__init__()
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openai.api_key = api_key
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self.api_key = os.environ.get("OPENAI_API_KEY")
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def generate_response(self, persona_description: str, query: str) -> str:
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def generate_response(self, persona_description: str, query: str) -> str:
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"""
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"""
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