app.py

import time
import gradio as gr
from ctransformers import AutoModelForCausalLM

# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
llm = AutoModelForCausalLM.from_pretrained("TheBloke/WizardLM-7B-uncensored-GGUF", model_file="WizardLM-7B-uncensored.Q3_K_M.gguf", model_type="llama", stream=True)
history = [""]

def generate_response(message):
    global history
    for text in llm(message):
        
        response = ''.join(text)
        time.sleep(2)
        history.append(response)
        yield ' '.join(history)
    # Clear the history list after the last response
    history = ["Chatbot:"]

def chatbot(message, history):
    response_generator = generate_response(message)
    for response in response_generator:
        time.sleep(0.1)  # Optional delay for a natural chat feel
        yield response

iface = gr.ChatInterface(chatbot)
iface.launch()