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| import gradio as gr | |
| import random | |
| from huggingface_hub import InferenceClient | |
| client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") | |
| def respond(message, history): | |
| messages = [{"role": "system", "content": "You are a friendly chatbot."}] | |
| if history: | |
| messages.extend(history) | |
| messages.append({"role" : "user", "content" : message}) | |
| response = client.chat_completion(messages, max_tokens = 100) | |
| print(response ["choices"][0]["message"]["content"].strip()) | |
| return response ["choices"][0]["message"]["content"].strip() | |
| def random_message(message, history): | |
| choices = ["you have 24 hours", "yay ur lucky or whateva", "do not step outside", "try again", "pop quiz days be like", "please tell me you're not asking about a man.", "my sources tell me no", "haha you thought", "Im like 90.9% sure your being watched"] | |
| random_element = random.choice(choices) | |
| return random_element | |
| chatbot = gr.ChatInterface(respond, type="messages") | |
| chatbot.launch() | |