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e5f6e0a | 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 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | import gradio as gr
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
MODEL_NAME = "kslote/georgia-sports-llama3-dpo"
print("Loading model...")
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
model = AutoModelForCausalLM.from_pretrained(
MODEL_NAME,
torch_dtype=torch.float16,
device_map="auto",
)
print("Model loaded!")
SYSTEM_PROMPT = "You are a knowledgeable Georgia high school sports analyst. You provide accurate, detailed answers about GHSA athletics including football, basketball, baseball, and other sports."
def respond(message, chat_history):
messages = [{"role": "system", "content": SYSTEM_PROMPT}]
for user_msg, bot_msg in chat_history:
messages.append({"role": "user", "content": user_msg})
messages.append({"role": "assistant", "content": bot_msg})
messages.append({"role": "user", "content": message})
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.no_grad():
outputs = model.generate(
**inputs,
max_new_tokens=512,
temperature=0.7,
do_sample=True,
top_p=0.9,
repetition_penalty=1.1,
)
response = tokenizer.decode(
outputs[0][inputs["input_ids"].shape[1] :], skip_special_tokens=True
)
chat_history.append((message, response))
return "", chat_history
with gr.Blocks(title="Georgia HS Sports Chat", theme=gr.themes.Soft()) as demo:
gr.Markdown(
"""
# 🏈 Georgia High School Sports Chat
Ask me anything about Georgia high school athletics — football, basketball, baseball, and more.
*Powered by Llama 3.1 8B fine-tuned with DPO on [GPB Sports](https://www.gpb.org/sports) content.*
"""
)
chatbot = gr.Chatbot(height=500, placeholder="Ask me about Georgia HS sports!")
msg = gr.Textbox(
placeholder="e.g. Who won the 2024 GHSA football state championships?",
label="Your question",
scale=4,
)
clear = gr.ClearButton([msg, chatbot], value="Clear")
msg.submit(respond, [msg, chatbot], [msg, chatbot])
gr.Examples(
examples=[
"Who were the top football programs in Georgia in 2024?",
"Tell me about the GHSA basketball state championships",
"Which Georgia high school has produced the most NFL players?",
],
inputs=msg,
)
demo.launch()
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