| import gradio as gr | |
| from transformers import pipeline | |
| # Load a sentiment analysis model from Hugging Face Hub | |
| model = pipeline("sentiment-analysis") | |
| # API function to analyze sentiment | |
| def analyze(text: str): | |
| result = model(text) | |
| return result | |
| # Define the Gradio Interface (this will act as an API) | |
| iface = gr.Interface( | |
| fn=analyze, | |
| inputs=gr.Textbox(label="Input Text"), | |
| outputs="json" # JSON output for API-like response | |
| ) | |
| # Launch the Gradio app (this exposes the API) | |
| iface.launch() | |