File size: 1,379 Bytes
516efd8 41b8e2f 516efd8 41b8e2f 516efd8 41b8e2f 516efd8 41b8e2f 516efd8 41b8e2f 516efd8 41b8e2f 516efd8 41b8e2f 516efd8 41b8e2f 516efd8 |
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 |
import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
# Load tiniest possible model (24M parameters)
model_name = "microsoft/phi-1_5"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype=torch.float16,
device_map="auto"
)
def generate(prompt):
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.inference_mode():
outputs = model.generate(
**inputs,
max_new_tokens=30,
temperature=0.7,
do_sample=True
)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
# UI components
emoji = "🔮"
title = "Tiny Fortune Cookie Generator"
description = "Uses Microsoft Phi-1.5 (24M params) to generate micro-wisdom"
with gr.Blocks(theme="soft") as demo:
gr.Markdown(f"## {emoji} {title}\n{description}")
with gr.Row():
prompt_input = gr.Textbox(
value="What's my fortune today?",
label="Input Prompt",
placeholder="Ask your question..."
)
output_text = gr.Textbox(label="Your Fortune")
generate_btn = gr.Button("Open Cookie 🍪", variant="primary")
generate_btn.click(
fn=generate,
inputs=prompt_input,
outputs=output_text
)
demo.launch() |