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Update app.py
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app.py
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@@ -54,7 +54,7 @@ def init():
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model = AutoDistributedModelForCausalLM.from_pretrained(model_name)
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def chat(id, npc,
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if model == None:
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init()
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return "no model"
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@@ -71,7 +71,26 @@ def chat(id, npc, prompt):
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# model inference
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if check(model_name):
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inputs = tokenizer(prom, return_tensors="pt")["input_ids"]
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outputs = model.generate(inputs, max_new_tokens=100)
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print(tokenizer.decode(outputs[0]))
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model = AutoDistributedModelForCausalLM.from_pretrained(model_name)
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def chat(id, npc, text):
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if model == None:
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init()
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return "no model"
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# model inference
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if check(model_name):
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prom = f"""<s><<SYS>>
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{npc_data.system_message}<</SYS>>
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[INST]
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{npc_data}
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### ๋ช
๋ น์ด:
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๋ํ๊ธฐ๋ก์ ์ฐธ๊ณ ํ์ฌ Rabbit์ด ํ ๋ง์ ์์ฐ์ค๋ฝ๊ฒ ์์ฑํด์ฃผ์ธ์. ํ ๋ฌธ์ฅ๋ง ์์ฑํ์ธ์.
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์ด์ ๋ํ๊ธฐ๋ก:
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'''
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{history}
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'''
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### User:
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{user_message}
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### Rabbit:[/INST]
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"""
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inputs = tokenizer(prom, return_tensors="pt")["input_ids"]
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outputs = model.generate(inputs, max_new_tokens=100)
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print(tokenizer.decode(outputs[0]))
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