Spaces:
Sleeping
Sleeping
import gradio as gr | |
from transformers import pipeline | |
# Load the fine-tuned model | |
generator = pipeline("text-generation", model="shibly100/gpt2_corporate_leadership") | |
# Function to generate responses | |
def chat_with_ai(prompt, history=[]): | |
response = generator(prompt, max_length=200, do_sample=True, top_p=0.95, top_k=50, temperature=0.7) | |
return response[0]["generated_text"] | |
# Fast and simple chat interface | |
with gr.Blocks() as demo: | |
gr.Markdown("# SPARKY Corporate Leadership AI") | |
gr.Markdown("Ask anything about corporate leadership and get AI-powered responses!") | |
chatbot = gr.ChatInterface(chat_with_ai) | |
demo.launch() | |