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Update app.py
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app.py
CHANGED
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@@ -12,14 +12,17 @@ model = AutoModelForCausalLM.from_pretrained(
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def chat_fn(message, history):
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# 只保留最近 3
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recent_history = history[-6:] # 3轮对话,每轮2条消息
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full_prompt = ""
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for msg in recent_history:
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if msg["role"] == "user":
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full_prompt += f"<|user|>{
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elif msg["role"] == "assistant":
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full_prompt +=
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full_prompt += f"<|user|>{message}<|assistant|>"
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inputs = tokenizer(full_prompt, return_tensors="pt").to(model.device)
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@@ -35,6 +38,7 @@ def chat_fn(message, history):
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output_text = output_text.split("<|assistant|>")[-1]
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return output_text.strip()
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with gr.Blocks(title="caobin LLM Chatbot") as demo:
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gr.Markdown("# 🤖 caobin's AI assistant")
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chatbot = gr.Chatbot(height=450)
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)
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def chat_fn(message, history):
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recent_history = history[-6:] # 只保留最近 3 轮
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full_prompt = ""
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for msg in recent_history:
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content = msg['content']
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if isinstance(content, list):
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content = " ".join([str(c) for c in content])
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if msg["role"] == "user":
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full_prompt += f"<|user|>{content}<|assistant|>"
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elif msg["role"] == "assistant":
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full_prompt += content
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full_prompt += f"<|user|>{message}<|assistant|>"
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inputs = tokenizer(full_prompt, return_tensors="pt").to(model.device)
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output_text = output_text.split("<|assistant|>")[-1]
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return output_text.strip()
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+
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with gr.Blocks(title="caobin LLM Chatbot") as demo:
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gr.Markdown("# 🤖 caobin's AI assistant")
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chatbot = gr.Chatbot(height=450)
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