Hugging Face's logo

Spaces:
Xuan2060320350
/
Image-to-Story
Runtime error

App Files Community
Image-to-Story
File size: 4,914 Bytes 
e812f05
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
 
import gradio as gr
from share_btn import community_icon_html, loading_icon_html, share_js
import re
import os 
hf_token = os.environ.get('HF_TOKEN')
from gradio_client import Client
client = Client("https://fffiloni-test-llama-api-debug.hf.space/", hf_token=hf_token)

clipi_client = Client("https://fffiloni-clip-interrogator-2.hf.space/")

def get_text_after_colon(input_text):
    # Find the first occurrence of ":"
    colon_index = input_text.find(":")
    
    # Check if ":" exists in the input_text
    if colon_index != -1:
        # Extract the text after the colon
        result_text = input_text[colon_index + 1:].strip()
        return result_text
    else:
        # Return the original text if ":" is not found
        return input_text

def infer(image_input, audience):
    gr.Info('Calling CLIP Interrogator ...')
    clipi_result = clipi_client.predict(
    				image_input,	# str (filepath or URL to image) in 'parameter_3' Image component
    				"best",	# str in 'Select mode' Radio component
    				4,	# int | float (numeric value between 2 and 24) in 'best mode max flavors' Slider component
    				api_name="/clipi2"
    )
    print(clipi_result)
   

    llama_q = f"""
    I'll give you a simple image caption, please provide a fictional story for a {audience} audience that would fit well with the image. Please be creative, do not worry and only generate a cool fictional story. 
    Here's the image description: 
    '{clipi_result[0]}'
    
    """
    gr.Info('Calling Llama2 ...')
    result = client.predict(
    				llama_q,	# str in 'Message' Textbox component
                    "I2S",
    				api_name="/predict"
    )

    print(f"Llama2 result: {result}")

    result = get_text_after_colon(result)

    # Split the text into paragraphs based on actual line breaks
    paragraphs = result.split('\n')
    
    # Join the paragraphs back with an extra empty line between each paragraph
    formatted_text = '\n\n'.join(paragraphs)


    return formatted_text, gr.Group.update(visible=True)

css="""
#col-container {max-width: 910px; margin-left: auto; margin-right: auto;}
a {text-decoration-line: underline; font-weight: 600;}
a {text-decoration-line: underline; font-weight: 600;}
.animate-spin {
  animation: spin 1s linear infinite;
}
@keyframes spin {
  from {
      transform: rotate(0deg);
  }
  to {
      transform: rotate(360deg);
  }
}
#share-btn-container {
  display: flex; 
  padding-left: 0.5rem !important; 
  padding-right: 0.5rem !important; 
  background-color: #000000; 
  justify-content: center; 
  align-items: center; 
  border-radius: 9999px !important; 
  max-width: 13rem;
}
div#share-btn-container > div {
    flex-direction: row;
    background: black;
    align-items: center;
}
#share-btn-container:hover {
  background-color: #060606;
}
#share-btn {
  all: initial; 
  color: #ffffff;
  font-weight: 600; 
  cursor:pointer; 
  font-family: 'IBM Plex Sans', sans-serif; 
  margin-left: 0.5rem !important; 
  padding-top: 0.5rem !important; 
  padding-bottom: 0.5rem !important;
  right:0;
}
#share-btn * {
  all: unset;
}
#share-btn-container div:nth-child(-n+2){
  width: auto !important;
  min-height: 0px !important;
}
#share-btn-container .wrap {
  display: none !important;
}
#share-btn-container.hidden {
  display: none!important;
}
"""

with gr.Blocks(css=css) as demo:
    with gr.Column(elem_id="col-container"):
        gr.Markdown(
            """
            <h1 style="text-align: center">Image to Story</h1>
            <p style="text-align: center">Upload an image, get a story made by Llama2 !</p>
            """
        )
        with gr.Row():
            with gr.Column():
                image_in = gr.Image(label="Image input", type="filepath", elem_id="image-in", height=420)
                audience = gr.Radio(label="Target Audience", choices=["Children", "Adult"], value="Children")
                submit_btn = gr.Button('Tell me a story')
            with gr.Column():
                #caption = gr.Textbox(label="Generated Caption")
                story = gr.Textbox(label="generated Story", elem_id="story")

                with gr.Group(elem_id="share-btn-container", visible=False) as share_group:
                    community_icon = gr.HTML(community_icon_html)
                    loading_icon = gr.HTML(loading_icon_html)
                    share_button = gr.Button("Share to community", elem_id="share-btn")
        
        gr.Examples(examples=[["./examples/crabby.png", "Children"],["./examples/hopper.jpeg", "Adult"]],
                    fn=infer,
                    inputs=[image_in, audience],
                    outputs=[story, share_group],
                    cache_examples=True
                   )
        
    submit_btn.click(fn=infer, inputs=[image_in, audience], outputs=[story, share_group])
    share_button.click(None, [], [], _js=share_js)

demo.queue(max_size=12).launch()