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Parent(s):
ddf360b
gemma-2-2b-it
Browse files
app.py
CHANGED
@@ -2,39 +2,63 @@ import os
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from datetime import datetime
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import uuid
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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from huggingface_hub import login
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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#
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# Load model and tokenizer
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model_name = "
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def chat_with_model(messages):
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def chat_with_model_gradio(message, history, session_id):
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messages = [
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{"role": "system", "content": f"λμ μ΄λ¦μ ChatMBTI. μ¬λλ€μ MBTIμ νμ μλ§μ μλ΄μ μ§νν μ μμ΄. μλλ°©μ MBTI μ νμ λ¨Όμ λ¬Όμ΄λ³΄κ³ , κ·Έ μ νμ μλ§κ² μλ΄μ μ§νν΄μ€. μ°Έκ³ λ‘ νμ¬ μκ°μ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}μ΄μΌ."},
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]
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messages.extend([{"role": "user" if i % 2 == 0 else "
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messages.append({"role": "user", "content": message})
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def main():
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session_id = str(uuid.uuid4())
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msg.submit(chat_with_model_gradio, [msg, chatbot, gr.State(session_id)], [msg, chatbot])
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clear.click(lambda: None, None, chatbot, queue=False)
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demo.launch()
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if __name__ == "__main__":
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from datetime import datetime
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import uuid
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM, TextIteratorStreamer
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import torch
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from huggingface_hub import login
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from threading import Thread
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Get the Hugging Face token from environment variables
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hf_token = os.getenv("HUGGINGFACE_TOKEN")
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# Load model and tokenizer
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model_name = "google/gemma-2-2b-it"
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tokenizer = AutoTokenizer.from_pretrained(model_name, token=hf_token)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.float16,
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device_map="auto",
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token=hf_token
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)
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def chat_with_model(messages):
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# Prepare the input
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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# Generate response
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streamer = TextIteratorStreamer(tokenizer, skip_special_tokens=True)
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generation_kwargs = dict(
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inputs,
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max_new_tokens=1000,
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temperature=0.7,
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do_sample=True,
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streamer=streamer,
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)
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thread = Thread(target=model.generate, kwargs=generation_kwargs)
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thread.start()
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return streamer
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def chat_with_model_gradio(message, history, session_id):
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messages = [
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{"role": "system", "content": f"λμ μ΄λ¦μ ChatMBTI. μ¬λλ€μ MBTIμ νμ μλ§μ μλ΄μ μ§νν μ μμ΄. μλλ°©μ MBTI μ νμ λ¨Όμ λ¬Όμ΄λ³΄κ³ , κ·Έ μ νμ μλ§κ² μλ΄μ μ§νν΄μ€. μ°Έκ³ λ‘ νμ¬ μκ°μ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}μ΄μΌ."},
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]
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messages.extend([{"role": "user" if i % 2 == 0 else "model", "content": m} for i, (m, _) in enumerate(history)])
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messages.append({"role": "user", "content": message})
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streamer = chat_with_model(messages)
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partial_message = ""
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for new_token in streamer:
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partial_message += new_token
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yield "", history + [(message, partial_message)]
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def main():
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session_id = str(uuid.uuid4())
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msg.submit(chat_with_model_gradio, [msg, chatbot, gr.State(session_id)], [msg, chatbot])
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clear.click(lambda: None, None, chatbot, queue=False)
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demo.queue()
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demo.launch()
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if __name__ == "__main__":
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