| from transformers import pipeline | |
| import gradio as gr | |
| # Chatbot pipeline using Hugging Face's conversational model | |
| chatbot = pipeline('conversational') | |
| # Function to handle chatbot conversations | |
| def chat(input_text): | |
| response = chatbot(input_text) | |
| return response[0]['generated_text'] | |
| # Gradio interface for the chatbot | |
| with gr.Blocks() as chatbot_app: | |
| user_input = gr.Textbox(label="Ask me anything (e.g., What are today's specials?)") | |
| chat_button = gr.Button("Send") | |
| chatbot_output = gr.Textbox(label="Chatbot Response") | |
| chat_button.click(fn=chat, inputs=user_input, outputs=chatbot_output) | |
| chatbot_app.launch() | |