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| from dotenv import load_dotenv | |
| from generators import * | |
| import gradio as gr | |
| from utils import async_zip_stream | |
| load_dotenv() | |
| async def handle(system_input: str, user_input: str): | |
| print(system_input, user_input) | |
| buffers = ["", "", "", ""] | |
| async for outputs in async_zip_stream( | |
| generate_gpt2(system_input, user_input), | |
| generate_mistral_7bvo1(system_input, user_input), | |
| generate_llama2(system_input, user_input), | |
| generate_llama3(system_input, user_input), | |
| ): | |
| # gpt_output, mistral_output, llama_output, llama2_output, llama3_output, llama4_output = outputs | |
| for i, b in enumerate(buffers): | |
| buffers[i] += str(outputs[i]) | |
| yield list(buffers) + ["", ""] | |
| yield list(buffers) + [await generate_openllama(system_input, user_input), | |
| await generate_bloom(system_input, user_input)] | |
| with gr.Blocks() as demo: | |
| system_input = gr.Textbox(label='System Input', value='You are AI assistant', lines=2) | |
| with gr.Row(): | |
| gpt = gr.Textbox(label='gpt-2', lines=4, interactive=False) | |
| mistral = gr.Textbox(label='mistral', lines=4, interactive=False) | |
| llama = gr.Textbox(label='openllama', lines=4, interactive=False) | |
| with gr.Row(): | |
| llama2 = gr.Textbox(label='llama-2', lines=4, interactive=False) | |
| llama3 = gr.Textbox(label='llama-3', lines=4, interactive=False) | |
| bloom = gr.Textbox(label='bloom', lines=4, interactive=False) | |
| user_input = gr.Textbox(label='User Input', lines=2) | |
| gen_button = gr.Button('Generate') | |
| gen_button.click( | |
| fn=handle, | |
| inputs=[system_input, user_input], | |
| outputs=[gpt, mistral, llama2, llama3, llama, bloom], | |
| ) | |
| demo.launch() | |