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def chat(prompt, history, model_name, loaded_models):
tokenizer = loaded_models[model_name]["tokenizer"]
model = loaded_models[model_name]["model"]
history.append(("🧑 " + prompt, ""))
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=100)
reply = tokenizer.decode(output[0], skip_special_tokens=True)
history[-1] = (history[-1][0], "🤖 " + reply.strip())
return history, history
def download_chat(chat_history):
return "\n\n".join([f"{user}\n{bot}" for user, bot in chat_history])
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