app.py

# -*- coding: utf-8 -*-
"""Untitled0.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/1kkl1QEIaAfNoIvtzgEzbQIUhuxSI6FIl
"""



import gradio as gr
from transformers import pipeline
import re

# Assuming 'pipe' is already defined as in the previous code snippet
pipe = pipeline("text-generation", model="learningmachineaz/cirtdan-azerbaijani-chatbot")

def chat_with_bot(bot_personality, user_input):
  """
  Chats with the bot, considering bot personality and providing accurate answers in Azerbaijani.

  Args:
      bot_personality: A string describing the bot's personality (e.g., "helpful", "friendly").
      user_input: The user's message.

  Returns:
    The bot's response.
  """
  prompt = f"Sən {bot_personality} bir botsan. İstifadəçinin sualına düzgün və ətraflı cavab ver.\nİstifadəçi: {user_input}\nBot:"
  try:
    response = pipe(prompt, max_length=200, num_return_sequences=1, num_beams=3, temperature=0.7)
    match = re.search(r"Bot:\s*(.*?)(?=(İstifadəçi:|[\r\n]*$))", response[0]['generated_text'], re.DOTALL)
    if match:
      bot_message = match.group(1).strip()
    else:
      bot_message = "Üzr istəyirəm, səni başa düşmədim."
    return bot_message
  except:
    print("An error occurred during the chat with the bot.")
    return "Üzr istəyirəm, botla söhbət zamanı xəta baş verdi." # Return error message to Gradio

iface = gr.Interface(
    fn=chat_with_bot,
    inputs=[
        gr.Dropdown(["köməkçi", "dostcasına", "ciddi"], label="Bot Şəxsiyyəti"), # Personality options
        gr.Textbox(lines=2, placeholder="Sualınızı bura yazın...", label="İstifadəçi Girişi"), # User input
    ],
    outputs="text", # Bot response output
    title="Azərbaycanca Söhbət Botu", # Interface title
    description="Bu bot, suallarınıza Azərbaycan dilində cavab vermək üçün hazırlanmışdır.", # Interface description
)

iface.launch(share=True) # Launch the interface and get a shareable link