| import gradio as gr | |
| from transformers import pipeline | |
| # Load the model | |
| model = pipeline("text-generation", model="AdaptLLM/finance-chat") | |
| def generate_response(query): | |
| response = model(query, max_length=100) | |
| return response[0]['generated_text'] | |
| # Create Gradio interface | |
| iface = gr.Interface( | |
| fn=generate_response, | |
| inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your query here..."), | |
| outputs="text", | |
| title="Finance Chat" | |
| ) | |
| iface.launch() | |