import gradio as gr from huggingface_hub import InferenceClient import random models = [ "google/gemma-7b", "google/gemma-7b-it", "google/gemma-2b", "google/gemma-2b-it" ] clients = [ InferenceClient(models[0]), InferenceClient(models[1]), InferenceClient(models[2]), InferenceClient(models[3]), ] def format_prompt(message, history): prompt = "" if history: for user_prompt, bot_response in history: prompt += f"usuário{user_prompt}" prompt += f"modelo{bot_response}" prompt += f"usuário{message}modelo" return prompt def chat_inf(system_prompt, prompt, history, client_choice, seed, temp, tokens, top_p, rep_p): client = clients[int(client_choice) - 1] if not history: history = [] hist_len = 0 if history: hist_len = len(history) generate_kwargs = dict( temperature=temp, max_new_tokens=tokens, top_p=top_p, repetition_penalty=rep_p, do_sample=True, seed=seed, ) formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history) stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) output = "" for response in stream: output += response.token.text yield [(prompt, output)] history.append((prompt, output)) yield history def clear_fn(): return None, None, None rand_val = random.randint(1, 1111111111111111) def check_rand(inp, val): if inp == True: return gr.Slider(label="Semente", minimum=1, maximum=1111111111111111, value=random.randint(1, 1111111111111111)) else: return gr.Slider(label="Semente", minimum=1, maximum=1111111111111111, value=int(val)) with gr.Blocks() as app: gr.HTML("""

Modelos Google Gemma


Executando no Cliente de Inferência Huggingface


EXPERIMENTAL""") chat_b = gr.Chatbot(height=500) with gr.Group(): with gr.Row(): with gr.Column(scale=3): inp = gr.Textbox(label="Prompt") sys_inp = gr.Textbox(label="Prompt do Sistema (opcional)") with gr.Row(): with gr.Column(scale=2): btn = gr.Button("Conversar") with gr.Column(scale=1): with gr.Group(): stop_btn = gr.Button("Parar") clear_btn = gr.Button("Limpar") client_choice = gr.Dropdown(label="Modelos", type='index', choices=[c for c in models], value=models[0], interactive=True) with gr.Column(scale=1): with gr.Group(): rand = gr.Checkbox(label="Semente Aleatória", value=True) seed = gr.Slider(label="Semente", minimum=1, maximum=1111111111111111, step=1, value=rand_val) tokens = gr.Slider(label="Máximo de novos tokens", value=6400, minimum=0, maximum=8000, step=64, interactive=True, visible=True, info="O número máximo de tokens") temp = gr.Slider(label="Temperatura", step=0.01, minimum=0.01, maximum=1.0, value=0.9) top_p = gr.Slider(label="Top-P", step=0.01, minimum=0.01, maximum=1.0, value=0.9) rep_p = gr.Slider(label="Penalidade de Repetição", step=0.1, minimum=0.1, maximum=2.0, value=1.0) go = btn.click(check_rand, [rand, seed], seed).then(chat_inf, [sys_inp, inp, chat_b, client_choice, seed, temp, tokens, top_p, rep_p], chat_b) stop_btn.click(None, None, None, cancels=go) clear_btn.click(clear_fn, None, [inp, sys_inp, chat_b]) app.queue(default_concurrency_limit=10).launch()