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| import gradio as gr | |
| from hugchat import hugchat | |
| chatbot = hugchat.ChatBot() | |
| def generate_response(prompt): | |
| response = chatbot.chat(prompt) | |
| return response | |
| def hugchat_app(prompt): | |
| response = generate_response(prompt) | |
| return response | |
| iface = gr.Interface(fn=hugchat_app, inputs="text", outputs="text", title="🤗💬 RD-chat-App", | |
| description="This app is an LLM-powered chatbot built using HugChat and OpenAssistant/oasst-sft-6-llama-30b-xor LLM model. 💡 Note: No API key required!", | |
| article="Made with ❤️ by RD art") | |
| iface.launch() | |