File size: 3,993 Bytes
bef155a
3dc74fc
08fcc8d
bef155a
08fcc8d
bef155a
08fcc8d
bef155a
08fcc8d
bef155a
08fcc8d
bef155a
08fcc8d
bef155a
08fcc8d
bef155a
08fcc8d
 
bef155a
08fcc8d
 
bef155a
08fcc8d
 
bef155a
08fcc8d
 
3dc74fc
08fcc8d
 
 
 
bef155a
08fcc8d
e520d07
08fcc8d
46d6488
 
08fcc8d
bfe5fed
58918fd
ec0ee8d
f1fb0b3
e99d163
baa88e2
 
 
 
6fc6258
 
b755808
2611745
 
 
3654aae
2611745
 
 
bfc2e76
3654aae
77663f7
2611745
 
a2b41af
2414efa
7fe699e
31e6bfe
2414efa
 
 
 
de8c14f
 
615b50c
2611745
 
 
 
2414efa
 
 
 
a2b41af
baa88e2
 
58e1ccf
b3ffb7d
f1fb0b3
fb7a309
2d374b1
72d3fc8
3ab6b75
d432926
08fcc8d
44f9042
1751b9e
efd5596
1f9a382
1136166
914ce5e
71a8fd3
44f9042
08fcc8d
554f4be
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
import google.generativeai as genai
import gradio as gr
from pypdf import PdfReader

def pdfSummarizer(gemini_api_key, pdf_file, kind):

    gemini_api_key = gemini_api_key

    genai.configure(api_key = gemini_api_key)

    model = genai.GenerativeModel("gemini-1.5-pro")

    pdf_file = PdfReader(pdf_file)

    pdf_text = ""

    for page in pdf_file.pages:
        pdf_text += page.extract_text()

    if kind == "5 Bullet Points":
      response = model.generate_content([pdf_text, "can you summarize this document in 5 bullet points? Use bullet points and not asterisks"])

    elif kind == "10 Bullet Points":
      response = model.generate_content([pdf_text, "can you summarize this document in 10 bullet points? Use bullet points and not asterisks"])

    elif kind == "Paragraph":
      response = model.generate_content([pdf_text, "can you summarize this document as a paragraph?"])

    elif kind == "Sentence":
      response = model.generate_content([pdf_text, "can you summarize this document in one sentence?"])

    return response.text

with gr.Blocks(
    theme="upsatwal/mlsc_tiet",
    analytics_enabled=True,
    fill_height=True,
    css="footer {display: none !important;}"
) as app:
    gr.HTML("<div style='text-align:center;overflow:hidden;'><h2>&#128211; PDF Summarizer &#128211;</h2></div>")
    with gr.Sidebar():
        gr.HTML("<div style='text-align:center;overflow:hidden;'><h3>&#128211; PDF Summarizer &#128211;</h3></div>")
        gr.HTML("<br>")
        # load sweet alert module from cdn
        gr.HTML("""
        <script src='https://cdn.jsdelivr.net/npm/[email protected]/dist/sweetalert2.all.min.js'></script>
        <link href='https://cdn.jsdelivr.net/npm/[email protected]/dist/sweetalert2.min.css' rel='stylesheet'>
        """)
        
        # Button with Javascript Event
        gr.HTML("""
        <style>
            .prompt-title {
            font-family: "JetBrains Mono",monospace;
            color: "white";
            }
            
            .prompt-popup {
            background: #646566;
            color:white;
            border-radius:15px;
            }
        </style>
        <div style="text-align:center;">
            <button onclick=infoAlert()
                style="padding: 15px; background-color: #646566; font-family: 'JetBrains Mono',monospace; color: white; border: none; border-radius: 15px; cursor: pointer;">
                Info
            </button>
            <script>
                function infoAlert(){
                    Swal.fire({
                    title: "How To Use",
                    text: "Enter your Gemini API key, upload PDF document, select summary kind, then hit the summarize button",
                    confirmButtonColor: "black",
                    customClass: {            
                        title: "prompt-title",
                        popup: "prompt-popup"
                    },
                    timer: 7000
                    });
                }
            </script>
        </div>
        """) 
        
        gr.HTML("<div style='text-align:center;overflow:hidden;'><h4>Gemini API Key</h4></div>")
        api_key = gr.Text(label = "",placeholder="Enter your Google Gemini API key here")
        
    with gr.Row():
        pdf_input = gr.File(file_types=[".pdf"])
        summary_type = gr.Radio(["5 Bullet Points","10 Bullet Points", "Paragraph", "Sentence"],value = "5 Bullet Points", label="Select Summary Kind")
        
    with gr.Row():
        btn = gr.Button("Summarize")
        clear_btn = gr.ClearButton(value="Clear")

    with gr.Column():
        gr.HTML("<div style='text-align:center;overflow:hidden;'><h2>Summary Output</h2></div>")
        out = gr.Markdown(height=700)

    btn.click(fn=pdfSummarizer, inputs=[api_key, pdf_input, summary_type], outputs=out)
    clear_btn.click(lambda: [None,None,"5 Bullet Points",""],inputs=None,outputs=[api_key, pdf_input, summary_type, out],queue=False)

app.launch(pwa=True)