Community-GPT2 / app.py
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import gradio as gr
from transformers import pipeline
# Load the text-generation pipeline
generator = pipeline("text-generation", model="King-8/community-gpt2")
# Define the chatbot response function
def chat(prompt):
response = generator(prompt, max_length=100, do_sample=True, temperature=0.7)
return response[0]["generated_text"]
# Set up the Gradio interface
iface = gr.Interface(fn=chat,
inputs="text",
outputs="text",
title="Community GPT-2 Chatbot",
description="Ask me anything!")
# Launch the app
iface.launch()