Start building, capturing and annotating your datasets to powerlifting your LLM models.
You can first play around with your bot. Then, we will deploy it on  cloud servers.
Your applications should not rely on shared servers and public APIs if you want your users to efficiently use it all the time.Â
Shared servers and public APIs are awesome for testing purpose or if you have a very small audience to actually use the application. However, if you have a good numbers of users who would be using this application more frequently, do scale to the enterprise edition.
import telebot
import requests
import json
# Replace ‘YOUR_TELEGRAM_BOT_API_KEY’ with your actual Telegram bot API key
TELEGRAM_API_KEY = ‘6130414057:AAH9yDANb3kTBoYKIFw46XhYj1Eobah8BFk’
# You don’t have to replace this. It is the Sttabot Global API (open source). This is for TESTING PURPOSE ONLY. STTABOT_API_KEY = ‘eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOjU3OTMsIm5hbWUiOiJoZWxsb2RlbW9AZGVtby5jb20iLCJpYXQiOjE2OTYyMjYyMDIsImV4cCI6MTg1MzkwNjIwMn0.khP3o3khrjzEMoIBtCHikUkAlpgF9rIADQK9t26SpaI’
# Initialize the bot
bot = telebot.TeleBot(TELEGRAM_API_KEY)
# Define a function to greet users when they start a chat with the bot
@bot.message_handler(commands=[‘start’])
def greet_user(message):
bot.send_message(message.chat.id, “Hello there! I am PowerLifter AI – I am here to help you!”)
# Define a function to provide help information
@bot.message_handler(commands=[‘help’])
def help_command(message):
help_text = “You can use the following commands:n”
help_text += “/start – Start a conversation with the bot.n”
help_text += “/help – Get help and information about using the bot.n”
help_text += “/support – Contact customer support.n”
help_text += “/startchat – Start a chat with Sttabot.n”
bot.send_message(message.chat.id, help_text)
# Define a function to handle user messages and interact with Sttabot API
@bot.message_handler(func=lambda message: True)
def handle_message(message):
user_message = message.text
# Add instruction or context to the prompt
context_instruction = “Build a bot named PowerLifter. This bot will let you access the expertise of bodybuilding and powerlifting. This is the masterAI which will help you fix things up for you related to workout and diet.. Please help me with the following:”
# Combine context_instruction and user_message into the prompt
prompt = f”{context_instruction}n{user_message}”
# Make a request to the Sttabot API
sttabot_url = “https://api.sttabot.io/json/Sttabot/v1/InitiateNewQuery”
headers = {
“Content-Type”: “application/json”,
“Authorization”: f”Bearer
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOjU3OTMsIm5hbWUiOiJoZWxsb2RlbW9AZGVtby5jb20iLCJpYXQiOjE2OTYyMjYyMDIsImV4cCI6MTg1MzkwNjIwMn0.khP3o3khrjzEMoIBtCHikUkAlpgF9rIADQK9t26SpaI”
}
payload = {
“prompt”: prompt,
“botId”: “default”,
“clientId”: “1”
}
response = requests.post(sttabot_url, headers=headers, data=json.dumps(payload))
if response.status_code == 200:
try:
data = response.json()
success = data.get(“success”, False)
bot_response = data.get(“data”, “Sorry, I couldn’t get a response from Sttabot.”)
if success:
bot.send_message(message.chat.id, bot_response)
else:
bot.send_message(message.chat.id, “Sttabot API returned an error.”)
except Exception as e:
print(f”Error parsing Sttabot response: {str(e)}”)
bot.send_message(message.chat.id, “Sorry, there was an error processing your request.”)
else:
print(f”Sttabot API Error – Status Code: {response.status_code}”)
bot.send_message(message.chat.id, “Sorry, there was an error processing your request with Sttabot API.”)
# Start the bot
bot.polling()
