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| import gradio as gr | |
| # Placeholder for model loading (adjust as needed for your specific models) | |
| def load_model(model_name): | |
| print(f"Loading {model_name}...") | |
| # Simulate different model behaviors (replace with actual model logic) | |
| if model_name == "DeepSeek-R1-Distill-Qwen-32B": | |
| return lambda input_text, history: f"Distilled Model Response to: {input_text}" | |
| elif model_name == "DeepSeek-R1": | |
| return lambda input_text, history: f"Base Model Response to: {input_text}" | |
| elif model_name == "DeepSeek-R1-Zero": | |
| return lambda input_text, history: f"Zero Model Response to: {input_text}" | |
| else: | |
| return lambda input_text, history: f"Default Response to: {input_text}" | |
| # Load the models (placeholder functions here) | |
| deepseek_r1_distill = load_model("DeepSeek-R1-Distill-Qwen-32B") | |
| deepseek_r1 = load_model("DeepSeek-R1") | |
| deepseek_r1_zero = load_model("DeepSeek-R1-Zero") | |
| # --- Chatbot function --- | |
| def chatbot(input_text, history, model_choice, system_message, max_new_tokens, temperature, top_p): | |
| history = history or [] | |
| print(f"Input: {input_text}, History: {history}, Model: {model_choice}") | |
| # Choose the model based on user selection | |
| if model_choice == "DeepSeek-R1-Distill-Qwen-32B": | |
| model_function = deepseek_r1_distill | |
| elif model_choice == "DeepSeek-R1": | |
| model_function = deepseek_r1 | |
| elif model_choice == "DeepSeek-R1-Zero": | |
| model_function = deepseek_r1_zero | |
| else: | |
| model_function = lambda x, h: "Please select a model." | |
| # Simulate model response with parameters | |
| response = model_function(input_text, history) | |
| # Format the response for display (without parameter details in the main chat) | |
| display_response = f"{response}" | |
| history.append((input_text, display_response)) | |
| return history, history, "", model_choice, system_message, max_new_tokens, temperature, top_p # Clear input, keep other parameters | |
| # --- Gradio Interface --- | |
| with gr.Blocks(theme=gr.themes.Soft()) as demo: | |
| gr.Markdown( | |
| """ | |
| # DeepSeek Chatbot | |
| Created by [ruslanmv.com](https://ruslanmv.com/) | |
| This is a demo of different DeepSeek models. Select a model, type your message, and click "Submit". | |
| You can also adjust optional parameters like system message, max new tokens, temperature, and top-p. | |
| """ | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| chatbot_output = gr.Chatbot(label="DeepSeek Chatbot", height=500) | |
| msg = gr.Textbox(label="Your Message", placeholder="Type your message here...") | |
| with gr.Row(): | |
| submit_btn = gr.Button("Submit", variant="primary") | |
| clear_btn = gr.ClearButton([msg, chatbot_output]) | |
| # Options moved below the chat interface | |
| with gr.Row(): | |
| with gr.Accordion("Options", open=True): # Changed label to "Options" | |
| model_choice = gr.Radio( | |
| choices=["DeepSeek-R1-Distill-Qwen-32B", "DeepSeek-R1", "DeepSeek-R1-Zero"], | |
| label="Choose a Model", | |
| value="DeepSeek-R1" | |
| ) | |
| with gr.Accordion("Optional Parameters", open=False): | |
| system_message = gr.Textbox( | |
| label="System Message", | |
| value="You are a friendly Chatbot created by ruslanmv.com", | |
| lines=2, | |
| ) | |
| max_new_tokens = gr.Slider( | |
| minimum=1, maximum=4000, value=200, label="Max New Tokens" | |
| ) | |
| temperature = gr.Slider( | |
| minimum=0.10, maximum=4.00, value=0.70, label="Temperature" | |
| ) | |
| top_p = gr.Slider( | |
| minimum=0.10, maximum=1.00, value=0.90, label="Top-p (nucleus sampling)" | |
| ) | |
| # Maintain chat history | |
| chat_history = gr.State([]) | |
| # Event handling | |
| submit_btn.click( | |
| chatbot, | |
| [msg, chat_history, model_choice, system_message, max_new_tokens, temperature, top_p], | |
| [chatbot_output, chat_history, msg, model_choice, system_message, max_new_tokens, temperature, top_p], | |
| ) | |
| msg.submit( | |
| chatbot, | |
| [msg, chat_history, model_choice, system_message, max_new_tokens, temperature, top_p], | |
| [chatbot_output, chat_history, msg, model_choice, system_message, max_new_tokens, temperature, top_p], | |
| ) | |
| # Launch the demo | |
| if __name__ == "__main__": | |
| demo.launch() |