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So essentially, we need to be expanding the conversation after each interaction. You will need to set up your own Python environment and the OpenAI library installed. We have included a full copy of the code files used in this tutorial for your reference. As we will implement the Chatbot with List Trainer, so we will also import the chatterbot.trainers. The list trainer takes a list of statements that represent a conversation. A transformer bot has more potential for self-development
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Free your team to focus on the most complex and important requests and activities. Allocate more resources to the most valuable tasks, while keeping your team lean and effective. For the first time, the end-to-end automation of the highest-volume manual requests is possible. Automate low-value, repetitive queries and requests, improving client service while boosting operational scalability. As enterprise businesses face complex manual processes and rigid workflows, business leaders are looking for viable automation implementations that redefine their performance, efficiency, and productivity. Major
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The diagnosis and course of treatment for cancer are complex, so a more realistic system would be a chatbot used to connect users with appropriate specialists or resources. A text-to-text chatbot by Divya et al [32] engages patients regarding their medical symptoms to provide a personalized diagnosis and connects the user with the appropriate physician if major diseases are detected. Rarhi et al [33] proposed a similar design that provides a diagnosis based on symptoms, measures
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