| import gradio as gr |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
| import torch |
|
|
| MODEL_NAME = "i99om/finlayf4rt3" |
|
|
| tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME) |
| model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.float16, device_map="auto") |
|
|
| def chat_fn(prompt): |
| inputs = tokenizer(prompt, return_tensors="pt").to("cuda" if torch.cuda.is_available() else "cpu") |
| output = model.generate(**inputs, max_new_tokens=200) |
| return tokenizer.decode(output[0], skip_special_tokens=True) |
|
|
| gr.ChatInterface(chat_fn, title="🌟 Chatbot").launch() |
|
|
