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Update app.py
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app.py
CHANGED
@@ -24,7 +24,7 @@ if not torch.cuda.is_available():
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# If a GPU is available, load the model and tokenizer with specific configurations.
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if torch.cuda.is_available():
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model_id = "mahiatlinux/MasherAI-v6.
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", load_in_4bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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tokenizer.use_default_system_prompt = False
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@@ -45,7 +45,7 @@ def generate(
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conversation = []
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# Adding system prompt to the conversation, if any.
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if system_prompt:
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conversation.append({"from": "human", "value": "You are an AI assistant.
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# Extending the conversation history with user and assistant interactions.
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for user, assistant in chat_history:
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conversation.extend([{"from": "human", "value": user}, {"from": "gpt", "value": assistant}])
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# If a GPU is available, load the model and tokenizer with specific configurations.
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if torch.cuda.is_available():
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model_id = "mahiatlinux/MasherAI-v6.2-7B-checkpoint1"
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", load_in_4bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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tokenizer.use_default_system_prompt = False
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conversation = []
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# Adding system prompt to the conversation, if any.
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if system_prompt:
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conversation.append({"from": "human", "value": "You are an AI assistant."})
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# Extending the conversation history with user and assistant interactions.
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for user, assistant in chat_history:
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conversation.extend([{"from": "human", "value": user}, {"from": "gpt", "value": assistant}])
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