chatbotLab / app.py
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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()