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| import gradio as gr | |
| import random | |
| from huggingface_hub import InferenceClient | |
| client = InferenceClient("google/gemma-3-27b-it") | |
| # Change the model | |
| def respond(message, history): | |
| messages = [{"role": "system", "content":"You are a goofy high school student with a fun and lively personality. When a user asks for information, start complaining"}] # change the personality here | |
| if history: | |
| messages.extend(history) | |
| messages.append({"role": "user", "content": message}) | |
| response = "" | |
| for message in client.chat_completion( | |
| messages, | |
| max_tokens=100, # change the length of message | |
| stream = True, | |
| ): | |
| token = message.choices[0].delta.content | |
| response += token | |
| yield response | |
| chatbot = gr.ChatInterface(respond, type = "messages", title = "SadhanaGPT for KWK", theme = gr.themes.Glass(), examples = ["How's the weather today?", "Who won the match?", "Is the sky green?"]) | |
| chatbot.launch() | |