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Update app.py
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app.py
CHANGED
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@@ -6,6 +6,7 @@ import sys
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# Install required packages
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subprocess.check_call([sys.executable, "-m", "pip", "install", "-U", "--force-reinstall", "--no-deps", "einops", "accelerate", "torch", "git+https://github.com/Muennighoff/transformers.git@olmoe"])
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from transformers import OlmoeForCausalLM, AutoTokenizer, TextIteratorStreamer
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from threading import Thread
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@@ -18,11 +19,12 @@ try:
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model = OlmoeForCausalLM.from_pretrained(
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model_name,
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trust_remote_code=True,
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torch_dtype=torch.bfloat16,
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low_cpu_mem_usage=True,
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device_map="auto",
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).to(DEVICE)
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model.gradient_checkpointing_enable()
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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except Exception as e:
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print(f"Error loading model: {e}")
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@@ -41,8 +43,10 @@ def generate_response(message, history, temperature, max_new_tokens):
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return
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messages = [{"role": "system", "content": system_prompt}]
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for
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messages.append({"role": "user"
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messages.append({"role": "user", "content": message})
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inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to(DEVICE)
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@@ -84,7 +88,7 @@ css = """
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"""
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with gr.Blocks(css=css) as demo:
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gr.Markdown("# Nisten's Karpathy Chatbot with OLMoE (CPU only
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chatbot = gr.Chatbot(elem_id="output")
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msg = gr.Textbox(label="Meow")
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with gr.Row():
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@@ -93,14 +97,14 @@ with gr.Blocks(css=css) as demo:
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clear = gr.Button("Clear")
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def user(user_message, history):
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return "", history + [
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def bot(history, temp, max_tokens):
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user_message = history[-1][
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bot_message = ""
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for token in generate_response(user_message, history[:-1], temp, max_tokens):
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bot_message = token
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history
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yield history
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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@@ -110,4 +114,4 @@ with gr.Blocks(css=css) as demo:
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if __name__ == "__main__":
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demo.queue(api_open=True, max_size=10) # Limiting queue size
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demo.launch(debug=True, show_api=True, share=False)
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# Install required packages
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subprocess.check_call([sys.executable, "-m", "pip", "install", "-U", "--force-reinstall", "--no-deps", "einops", "accelerate", "torch", "git+https://github.com/Muennighoff/transformers.git@olmoe"])
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#subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True)
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from transformers import OlmoeForCausalLM, AutoTokenizer, TextIteratorStreamer
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from threading import Thread
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model = OlmoeForCausalLM.from_pretrained(
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model_name,
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trust_remote_code=True,
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torch_dtype=torch.bfloat16, # Using float16 for lower precision
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low_cpu_mem_usage=True,
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device_map="auto",
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#_attn_implementation="flash_attention_2" # Enable Flash Attention 2
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).to(DEVICE)
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model.gradient_checkpointing_enable() # Enable gradient checkpointing
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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except Exception as e:
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print(f"Error loading model: {e}")
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return
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messages = [{"role": "system", "content": system_prompt}]
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for user_msg, assistant_msg in history:
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messages.append({"role": "user", "content": user_msg})
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if assistant_msg:
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messages.append({"role": "assistant", "content": assistant_msg})
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messages.append({"role": "user", "content": message})
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inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to(DEVICE)
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"""
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with gr.Blocks(css=css) as demo:
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gr.Markdown("# Nisten's Karpathy Chatbot with OSS OLMoE (CPU 2core only, feel free to clone)")
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chatbot = gr.Chatbot(elem_id="output")
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msg = gr.Textbox(label="Meow")
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with gr.Row():
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clear = gr.Button("Clear")
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def user(user_message, history):
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return "", history + [[user_message, None]]
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def bot(history, temp, max_tokens):
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user_message = history[-1][0]
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bot_message = ""
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for token in generate_response(user_message, history[:-1], temp, max_tokens):
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bot_message = token
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history[-1][1] = bot_message
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yield history
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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if __name__ == "__main__":
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demo.queue(api_open=True, max_size=10) # Limiting queue size
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demo.launch(debug=True, show_api=True, share=False) # Disabled sharing for security
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