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#!/usr/bin/env python
# coding: utf-8
# In[2]:
import gradio as gr
import torch
from torch import nn
from torch.nn import functional as F
from nano_gpt_inferencing import generate_paragraph
HTML_TEMPLATE = """
<style>
body {
font-family: 'Arial', sans-serif;
background: #3498db; /* Blue background color */
margin: 0;
padding: 0;
}
#app-header {
text-align: center;
background: rgba(255, 255, 255, 0.7); /* Semi-transparent white */
padding: 20px;
border-radius: 10px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
position: relative; /* To position the artifacts */
margin: 30px auto;
max-width: 600px;
}
#app-header h1 {
color: #FF0000;
font-size: 2.5em;
margin-bottom: 10px;
}
.header-images {
display: flex;
justify-content: center;
align-items: center;
margin: 20px 0;
}
.header-image {
width: 100px;
height: 100px;
margin: 0 10px;
background: #fff;
border-radius: 50%;
display: flex;
justify-content: center;
align-items: center;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.2);
}
.header-image img {
max-width: 80px;
max-height: 80px;
border-radius: 50%;
}
.concept-description {
position: absolute;
bottom: -30px;
left: 50%;
transform: translateX(-50%);
background-color: #4CAF50;
color: white;
padding: 5px 10px;
border-radius: 5px;
opacity: 0;
transition: opacity 0.3s;
}
.concept:hover .concept-description {
opacity: 1;
}
</style>
</head>
<body>
<div id="app-header">
<!-- Header Images -->
<div class="header-images">
<div class="header-image">
<img src="https://github.com/nkanungo/ERAS20/blob/main/images/ss1.jpg?raw=true" alt="Image 1">
</div>
<div class="header-image">
<img src="https://github.com/nkanungo/ERAS20/blob/main/images/ss1.jpg?raw=true" alt="Image 2">
</div>
</div>
<!-- Content -->
<h1>Paragraph Auto Completion like Shakespeare </h1>
<p>Generate dialogue using the intellignece from Shakespeare Dataset .</p>
<p>Model: GPT, Dataset: Tiny Shakespeare, Token limit: User input ,Input Text: User input.</p>
</div>
"""
with gr.Blocks(theme=gr.themes.Glass()) as interface:
gr.HTML(value=HTML_TEMPLATE, show_label=False)
with gr.Row(scale=1):
inputs = [
gr.Textbox(label="Input Text Prompt"),
gr.Textbox(label="Token Limit")
]
outputs = gr.Textbox(
label="Generated Paragraph"
)
with gr.Column(scale=1):
button = gr.Button("Generate")
button.click(generate_paragraph, inputs=inputs, outputs=outputs)
if __name__ == "__main__":
interface.launch(enable_queue=True)
# In[ ]:
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