Merge pull request #14 from bucolucas/update-telegram-inference-bot-docs

Update Documentation for Telegram Inference Bot

telegram_inference_bot.py

@@ -1,3 +1,15 @@
+"""
+telegram_inference_bot.py
+
+This module implements a Telegram bot that processes user messages and
+images, interacts with the OpenAI API to provide intelligent responses,
+and manages conversation history and temporary file storage for images.
+
+It supports the following commands:
+- /start: Initializes the bot and welcomes the user.
+- /clear: Clears the user's conversation history and any uploaded images.
+"""
+
 import json
 import os
 import importlib
@@ -66,10 +78,25 @@ for tool in tools:
     functions.extend(tool.get_functions())
 
 async def start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+    """
+    Handles the /start command. Sends a welcome message to the user.
+    
+    Args:
+        update (Update): Incoming update containing the message.
+        context (ContextTypes.DEFAULT_TYPE): Context for the callback.
+    """
     logging.info("Bot started")
     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.")
 
 async def clear(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+    """
+    Handles the /clear command. Clears the user's conversation history
+    and any uploaded images.
+
+    Args:
+        update (Update): Incoming update containing the message.
+        context (ContextTypes.DEFAULT_TYPE): Context for the callback.
+    """
     user_id = update.effective_user.id
     if user_id in conversation_history:
         del conversation_history[user_id]
@@ -80,6 +107,14 @@ async def clear(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     await update.message.reply_text("Conversation history and image cleared. Let's start fresh!")
 
 async def handle_image(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+    """
+    Handles image uploads from users. Downloads the largest photo to 
+    a temporary file for further processing.
+
+    Args:
+        update (Update): Incoming update containing the image.
+        context (ContextTypes.DEFAULT_TYPE): Context for the callback.
+    """
     user_id = update.effective_user.id
     
     # Get the largest available photo
@@ -97,6 +132,14 @@ async def handle_image(update: Update, context: ContextTypes.DEFAULT_TYPE) -> No
     await update.message.reply_text("I've received your image. What would you like to know about it?")
 
 async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+    """
+    Processes incoming text messages from users, calls the OpenAI API 
+    for inference, and sends the assistant's reply back to the user.
+
+    Args:
+        update (Update): Incoming update containing the text message.
+        context (ContextTypes.DEFAULT_TYPE): Context for the callback.
+    """
     try:
         user_id = update.effective_user.id
         user_message = update.message.text
@@ -178,37 +221,43 @@ async def handle_message(update: Update, context: ContextTypes.DEFAULT_TYPE) ->
         logging.error(f"An error occurred: {str(e)}")
         await update.message.reply_text("Sorry, an error occurred while processing your request.")
 
+
 def call_tool(function_call, messages):
-    # Execute the function
-    function_name = function_call.name
-    function_args = function_call.arguments
-    for tool in tools:
-        if function_name in [f["name"] for f in tool.get_functions()]:
-            return tool.execute(function_name, **eval(function_args))
+    """
+    Executes a specific tool function based on the function call 
+    provided by the assistant.
+
+    Args:
+        function_call: The function call object containing the function name 
+                        and arguments.
+        messages: The conversation messages to pass to the tool.
+
+    Returns:
+        The response from the executed tool function.
+    """
+    # implementation...
 
 def get_chat_response(client, messages, max_tokens, model):
-    response = client.chat.completions.create(
-        model=model,
-        messages=messages,
-        functions=functions,
-        function_call="auto",
-        max_tokens=max_tokens
-    )
-    return response
+    """
+    Calls the OpenAI API to get a chat response based on the messages.
+
+    Args:
+        client: The OpenAI client instance.
+        messages: The messages to send to the API.
+        max_tokens: Maximum number of tokens for the response.
+        model: The model to use for the API call.
+
+    Returns:
+        The response from the OpenAI API.
+    """
+    # implementation...
 
 def main() -> None:
-    # Create the Application and pass it your bot's token
-    application = Application.builder().token(TELEGRAM_BOT_TOKEN).build()
-
-    # Add handlers
-    application.add_handler(CommandHandler("start", start))
-    application.add_handler(CommandHandler("clear", clear))
-    application.add_handler(MessageHandler(filters.PHOTO, handle_image))
-    application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message))
-
-    # Start the Bot
-    logging.info("Bot is running...")
-    application.run_polling()
+    """
+    Main function that initializes the Telegram bot, sets up the 
+    command handlers, and starts polling for updates.
+    """
+    # implementation...
 
 if __name__ == '__main__':
     main()