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Update app.py
Browse files
app.py
CHANGED
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@@ -10,20 +10,18 @@ deepseek_r1_distill = load_model("DeepSeek-R1-Distill-Qwen-32B")
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deepseek_r1 = load_model("DeepSeek-R1")
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deepseek_r1_zero = load_model("DeepSeek-R1-Zero")
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# Disable API names for all functions (Gradio doesn't natively use `fns`)
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# Adjust this section if specific API name disabling logic is required.
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# Define the optional parameters section
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def create_optional_parameters():
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with gr.Accordion("Optional Parameters (Click to Expand)", open=False):
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system_message = gr.Textbox(
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label="System Message",
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value="You are a friendly Chatbot created by ruslanmv.com",
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lines=2
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)
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max_new_tokens = gr.Slider(minimum=1, maximum=4000, value=200, label="Max New Tokens")
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temperature = gr.Slider(minimum=0.10, maximum=4.00, value=0.70, label="Temperature")
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top_p = gr.Slider(minimum=0.10, maximum=1.00, value=0.90, label="Top-p (nucleus sampling)")
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return system_message, max_new_tokens, temperature, top_p
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# Define the main interface
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@@ -40,14 +38,45 @@ def chat_interface(user_input, system_message, max_new_tokens, temperature, top_
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return response
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# Create the Gradio interface
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with gr.Blocks(
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with gr.Row():
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with gr.Column():
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user_input = gr.Textbox(
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output = gr.Markdown(label="Chatbot Response")
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# Add the optional parameters section
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@@ -62,4 +91,4 @@ with gr.Blocks() as demo:
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# Launch the demo
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if __name__ == "__main__":
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demo.launch()
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deepseek_r1 = load_model("DeepSeek-R1")
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deepseek_r1_zero = load_model("DeepSeek-R1-Zero")
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# Define the optional parameters section
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def create_optional_parameters():
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with gr.Accordion("Optional Parameters (Click to Expand)", open=False):
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system_message = gr.Textbox(
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label="System Message",
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value="You are a friendly Chatbot created by ruslanmv.com",
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lines=2,
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interactive=True
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)
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max_new_tokens = gr.Slider(minimum=1, maximum=4000, value=200, label="Max New Tokens", interactive=True)
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temperature = gr.Slider(minimum=0.10, maximum=4.00, value=0.70, label="Temperature", interactive=True)
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top_p = gr.Slider(minimum=0.10, maximum=1.00, value=0.90, label="Top-p (nucleus sampling)", interactive=True)
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return system_message, max_new_tokens, temperature, top_p
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# Define the main interface
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return response
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# Create the Gradio interface
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with gr.Blocks(css="""
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.gradio-container {
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font-family: Arial, sans-serif;
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background-color: #f9f9f9;
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color: #333;
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padding: 20px;
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}
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.gr-button.primary {
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background-color: #4caf50;
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color: white;
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border: none;
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padding: 10px 20px;
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font-size: 16px;
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border-radius: 5px;
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cursor: pointer;
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}
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.gr-button.primary:hover {
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background-color: #45a049;
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}
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.gr-textbox textarea {
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font-size: 16px;
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}
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""") as demo:
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gr.Markdown("""
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# DeepSeek Chatbot
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Welcome to the **DeepSeek Chatbot**! This AI-powered chatbot is designed to provide insightful responses.
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Created by [ruslanmv.com](https://ruslanmv.com/).
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""")
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with gr.Row():
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with gr.Column(scale=3):
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user_input = gr.Textbox(
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label="Your Message",
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placeholder="Type your message here...",
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lines=4,
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interactive=True
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)
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submit_button = gr.Button("Send", variant="primary")
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with gr.Column(scale=5):
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output = gr.Markdown(label="Chatbot Response")
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# Add the optional parameters section
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# Launch the demo
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if __name__ == "__main__":
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demo.launch()
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