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import os
import gradio as gr
from huggingface_hub import login
from transformers import AutoTokenizer, AutoModelForCausalLM
login(os.environ["HF_TOKEN"])
model_id = "jimy26/Sherlock_Model"
tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=True)
model = AutoModelForCausalLM.from_pretrained(
model_id,
device_map="auto",
torch_dtype="auto",
use_auth_token=True
)
def chat(prompt):
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=150, temperature=0.7, top_p=0.9)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
gr.Interface(
fn=chat,
inputs=gr.Textbox(lines=3, placeholder="Ask Sherlock Holmes something..."),
outputs="text",
title="🕵️ Chat with Sherlock Holmes",
description="A character-based chatbot fine-tuned to act like Sherlock Holmes."
).launch()
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