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
TELEGRAM_API_KEY = ‘6130414057:AAH9yDANb3kTBoYKIFw46XhYj1Eobah8BFk’
STTABOT_API_KEY = ‘eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOjU3OTMsIm5hbWUiOiJoZWxsb2RlbW9AZGVtby5jb20iLCJpYXQiOjE2OTYyMjYyMDIsImV4cCI6MTg1MzkwNjIwMn0.khP3o3khrjzEMoIBtCHikUkAlpgF9rIADQK9t26SpaI’
bot = telebot.TeleBot(TELEGRAM_API_KEY)
@bot.message_handler(commands=[‘start’])
def greet_user(message):
bot.send_message(message.chat.id, “Hello there! I am HelloMoto – I am here to help you!”)
@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)
@bot.message_handler(func=lambda message: True)
def handle_message(message):
user_message = message.text
context_instruction = “Instruction : Personal Assistant. Please help me with the following:”
prompt = f”{context_instruction}n{user_message}”
sttabot_url = “https://api.sttabot.io/json/Sttabot/v1/InitiateNewQuery”
headers = {
“Content-Type”: “application/json”,
“Authorization”: f”Bearer {STTABOT_API_KEY}”
}
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.”)
bot.polling()
