import subprocess import gradio as gr # Compile the model using "!make runfast" try: subprocess.run(["make", "runfast"], check=True, shell=True) print("Model compilation successful.") except subprocess.CalledProcessError as e: print("Error:", e) print(e.stderr) def chatbot(prompt, temperature, topt, maxtoken, model_file): command = ["./run", model_file, "-t", str(temperature), "-p", str(topt), "-n", str(maxtoken), "-i", f"{prompt}"] try: result = subprocess.run(command, capture_output=True, text=True, check=True, shell=False) response = result.stdout except subprocess.CalledProcessError as e: response = "Error occurred while processing the request." return response with gr.Blocks() as demo: gr.Markdown("HF Spaces for TinyStories") with gr.Row(): with gr.Column(): inp = gr.Textbox(placeholder="Type the beginning of the story") with gr.Row(): with gr.Column(): temperature_slider = gr.Slider(minimum=0.1, maximum=2.0, value=0.8, label="Temperature") topt_slider = gr.Slider(minimum=0.1, maximum=1.0, value=0.9, label="Topt") maxtoken_slider = gr.Slider(minimum=16, maximum=512, value=256, label="Max Tokens") model_file_dropdown = gr.Dropdown(choices=["stories15M.bin", "stories42M.bin", "stories110M.bin"], label="Model File", value="stories15M.bin") out = gr.Textbox() btn = gr.Button("Run") btn.click(fn=chatbot, inputs=[inp, temperature_slider, topt_slider, maxtoken_slider, model_file_dropdown], outputs=out) demo.launch()