Spaces:
Sleeping
Sleeping
File size: 734 Bytes
53d3b18 2cbfaea b9ea6e1 2cbfaea b9ea6e1 2cbfaea 53d3b18 0c56418 53d3b18 82ddab3 53d3b18 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load your custom model and tokenizer
tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-large")
model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-large")
def chat_with_model(input_text):
input_ids = tokenizer.encode("You: " + input_text, return_tensors="pt", max_length=1024, truncation=True)
response_ids = model.generate(input_ids, max_length=100, num_return_sequences=1, no_repeat_ngram_size=2)
reply = tokenizer.decode(response_ids[0], skip_special_tokens=True)
return reply
iface = gr.Interface(
fn=chat_with_model,
inputs=gr.Textbox("You:"),
outputs=gr.Textbox("Bot:"),
)
iface.launch()
|