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| from transformers import pipeline | |
| import gradio as gr | |
| chatbot = pipeline("text-generation", model="deepseek-ai/DeepSeek-R1", trust_remote_code=True) | |
| def chat_with_bot(user_input): | |
| # Generate a response from the chatbot model | |
| response = chatbot(user_input) | |
| return response[0]['generated_text'] | |
| interface = gr.Interface( | |
| fn=chat_with_bot, # Function to call for processing the input | |
| inputs=gr.Textbox(label="Enter your message"), # User input (text) | |
| outputs=gr.Textbox(label="Chatbot Response"), # Model output (text) | |
| title="Chat with DeepSeek", # Optional: Add a title to your interface | |
| description="Chat with an AI model powered by DeepSeek!" # Optional: Add a description | |
| ) | |
| interface.launch() |