Create Test.py

Test.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+import spaces
+
+model_name = "Sakalti/SakalFusion-7B-Alpha"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+@spaces.gpu(duration=100)
+def generate(prompt, history, top_p, top_k, max_new_tokens, repetition_penalty, temperature):
+    messages = [
+        {"role": "system", "content": "あなたはフレンドリーなチャットボットです。"},
+        {"role": "user", "content": prompt}
+    ]
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+    
+    generated_ids = model.generate(
+        **model_inputs,
+        max_new_tokens=max_new_tokens,
+        top_p=top_p,
+        top_k=top_k,
+        repetition_penalty=repetition_penalty,
+        temperature=temperature
+    )
+    generated_ids = [
+        output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+    ]
+    
+    response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+    return response, history + [[prompt, response]]
+
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox()
+    clear = gr.Button("Clear")
+    
+    with gr.Row():
+        top_p = gr.Slider(0.0, 1.0, value=0.9, label="Top P")
+        top_k = gr.Slider(0, 100, value=50, label="Top K")
+        max_new_tokens = gr.Slider(1, 2048, value=864, label="Max New Tokens")
+        repetition_penalty = gr.Slider(1.0, 2.0, value=1.2, label="Repetition Penalty")
+        temperature = gr.Slider(0.1, 1.0, value=0.7, label="Temperature")
+    
+    def respond(message, chat_history, top_p, top_k, max_new_tokens, repetition_penalty, temperature):
+        bot_message, chat_history = generate(message, chat_history, top_p, top_k, max_new_tokens, repetition_penalty, temperature)
+        return "", chat_history, chat_history
+    
+    msg.submit(respond, [msg, chatbot, top_p, top_k, max_new_tokens, repetition_penalty, temperature], [msg, chatbot, chatbot])
+    clear.click(lambda: ([], []), None, [chatbot, msg])
+
+demo.launch(share=True)