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Runtime error
Runtime error
Cosmetic changes
Browse files
app.py
CHANGED
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@@ -131,6 +131,62 @@ custom_css = """
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border-radius: 8px;
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margin: 10px 0;
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}
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"""
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# Create the Gradio interface with enhanced UI
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@@ -146,12 +202,13 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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with gr.Row():
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with gr.Column(scale=2):
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with gr.Row():
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with gr.Column():
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@@ -212,13 +269,14 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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info="Toggle to show responses from both base and fine-tuned models"
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)
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generate_btn = gr.Button("Generate", variant="primary")
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with gr.Column(scale=3):
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gr.Markdown(
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"""
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border-radius: 8px;
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margin: 10px 0;
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}
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.prompt-box {
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background-color: #ffffff;
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border: 2px solid #3498db;
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border-radius: 8px;
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padding: 15px;
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margin-bottom: 20px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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}
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.prompt-box label {
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font-size: 1.1em;
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font-weight: bold;
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color: #2c3e50;
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margin-bottom: 10px;
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display: block;
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}
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.prompt-box textarea {
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width: 100%;
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min-height: 100px;
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padding: 10px;
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border: 1px solid #bdc3c7;
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border-radius: 4px;
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font-size: 1em;
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line-height: 1.5;
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}
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.output-box {
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background-color: #ffffff;
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border: 2px solid #2ecc71;
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border-radius: 8px;
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padding: 20px;
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margin-top: 20px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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}
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.output-box label {
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font-size: 1.1em;
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font-weight: bold;
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color: #2c3e50;
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margin-bottom: 15px;
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display: block;
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}
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.output-box .markdown {
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background-color: #f8f9fa;
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padding: 15px;
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border-radius: 6px;
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border: 1px solid #e9ecef;
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}
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.output-box h3 {
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color: #2c3e50;
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border-bottom: 2px solid #3498db;
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padding-bottom: 8px;
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margin-top: 20px;
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}
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.output-box p {
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line-height: 1.6;
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color: #34495e;
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margin: 10px 0;
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}
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"""
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# Create the Gradio interface with enhanced UI
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with gr.Row():
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with gr.Column(scale=2):
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with gr.Column(elem_classes="prompt-box"):
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prompt = gr.Textbox(
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label="Enter Your Prompt Here",
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placeholder="Type your prompt here... (e.g., 'What is machine learning?' or 'Write a story about a robot learning to paint')",
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lines=5,
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show_label=True,
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)
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with gr.Row():
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with gr.Column():
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info="Toggle to show responses from both base and fine-tuned models"
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)
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generate_btn = gr.Button("Generate", variant="primary", size="large")
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with gr.Column(scale=3):
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with gr.Column(elem_classes="output-box"):
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output = gr.Markdown(
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label="Generated Response(s)",
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show_label=True,
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)
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gr.Markdown(
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"""
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