Spaces:
Runtime error
Runtime error
File size: 831 Bytes
508d96f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
# Load the model and tokenizer
model_name = "indonlp/cendol-llama2-7b-chat"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Define the chatbot function
def chatbot(input_text):
inputs = tokenizer(input_text, return_tensors="pt")
with torch.no_grad():
outputs = model.generate(inputs.input_ids, max_length=1000, do_sample=True)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
return response
# Create the Gradio interface
interface = gr.ChatInterface(
fn=chatbot,
title="Cendol Chatnot",
description="Ask any coding-related questions and get helpful responses."
)
# Launch the web UI
interface.launch(share=True)
|