jykoh radames commited on
Commit
4f4509d
1 Parent(s): 2425b09

share button fixes (#2)

Browse files

- share button fixes (921db717ea62a850767e67adb0289b86a17f9a11)


Co-authored-by: Radamés Ajna <radames@users.noreply.huggingface.co>

Files changed (2) hide show
  1. app.py +49 -34
  2. share_btn.py +24 -30
app.py CHANGED
@@ -1,16 +1,15 @@
 
 
 
 
 
 
 
 
 
 
1
  import os
2
  os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "False"
3
- import numpy as np
4
- import torch
5
- from PIL import Image
6
- import matplotlib.pyplot as plt
7
-
8
- from fromage import models
9
- from fromage import utils
10
- import gradio as gr
11
- import huggingface_hub
12
- from share_btn import community_icon_html, loading_icon_html, share_js
13
- import tempfile
14
 
15
 
16
  css = """
@@ -18,6 +17,7 @@ css = """
18
  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; width: 13rem;
19
  margin-top: 10px;
20
  margin-left: auto;
 
21
  }
22
  #share-btn {
23
  all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0;
@@ -35,8 +35,10 @@ css = """
35
  """
36
 
37
  # Download model from HF Hub.
38
- ckpt_path = huggingface_hub.hf_hub_download(repo_id='jykoh/fromage', filename='pretrained_ckpt.pth.tar')
39
- args_path = huggingface_hub.hf_hub_download(repo_id='jykoh/fromage', filename='model_args.json')
 
 
40
  model = models.load_fromage('./', args_path, ckpt_path)
41
 
42
 
@@ -44,7 +46,8 @@ def upload_image(state, image_input):
44
  conversation = state[0]
45
  chat_history = state[1]
46
  conversation += [(f"![](/file={image_input.name})", "")]
47
- input_image = Image.open(image_input.name).resize((224, 224)).convert('RGB')
 
48
  return [conversation, chat_history, input_image], conversation
49
 
50
 
@@ -86,10 +89,11 @@ def generate_for_prompt(input_text, state, ret_scale_factor, max_nm_rets, num_wo
86
  if temperature != 0.0:
87
  top_p = 0.95
88
 
89
- print('Running model.generate_for_images_and_texts with', model_inputs, flush=True)
90
- model_outputs = model.generate_for_images_and_texts(model_inputs,
91
- num_words=max(num_words, 1), ret_scale_factor=ret_scale_factor, top_p=top_p,
92
- temperature=temperature, max_num_rets=max_nm_rets)
 
93
  print('model_outputs', model_outputs, flush=True)
94
 
95
  im_names = []
@@ -108,13 +112,15 @@ def generate_for_prompt(input_text, state, ret_scale_factor, max_nm_rets, num_wo
108
  response += f'<img src="/file={filename}">'
109
 
110
  # TODO(jykoh): Persist image inputs.
111
- chat_history = model_inputs + [' '.join([s for s in model_outputs if type(s) == str]) + '\n']
112
- conversation.append((input_text, response.replace('[RET]', ''))) # Remove [RET] from outputs.
 
 
113
 
114
  # Set input image to None.
115
  print('state', state, flush=True)
116
  print('updated state', [conversation, chat_history, None], flush=True)
117
- return [conversation, chat_history, None], conversation
118
 
119
 
120
  with gr.Blocks(css=css) as demo:
@@ -128,33 +134,42 @@ with gr.Blocks(css=css) as demo:
128
 
129
  chatbot = gr.Chatbot(elem_id="chatbot")
130
  gr_state = gr.State([[], [], None]) # chat_history, input_image
131
- with gr.Group(elem_id="share-btn-container", visible=False):
132
- community_icon = gr.HTML(community_icon_html)
133
- loading_icon = gr.HTML(loading_icon_html)
134
- share_button = gr.Button("Share to community", elem_id="share-btn")
 
135
 
136
  with gr.Row():
137
  with gr.Column(scale=0.3, min_width=100):
138
- ret_scale_factor = gr.Slider(minimum=0.0, maximum=3.0, value=1.0, step=0.1, interactive=True, label="Multiplier for returning images (higher means more frequent)")
139
- max_ret_images = gr.Number(minimum=0, maximum=3, value=1, precision=1, interactive=True, label="Max images to return")
140
- gr_max_len = gr.Slider(minimum=1, maximum=64, value=32, step=1, interactive=True, label="Max # of words returned")
141
- gr_temperature = gr.Slider(minimum=0.0, maximum=1.0, value=0.0, interactive=True, label="Temperature")
 
 
 
 
142
 
143
  with gr.Column(scale=0.7, min_width=400):
144
  image_btn = gr.UploadButton("🖼️ Image Input", file_types=["image"])
145
- text_input = gr.Textbox(label="Chat Input", lines=1, placeholder="Upload an image above [optional]. Then enter a text prompt, and press enter!")
 
146
 
147
  with gr.Row():
148
  with gr.Column(scale=0.33):
149
- submit_btn = gr.Button("Submit", interactive=True, variant="primary")
 
150
  with gr.Column(scale=0.33):
151
  clear_last_btn = gr.Button("Clear Last Round")
152
  with gr.Column(scale=0.33):
153
  clear_btn = gr.Button("Clear All")
154
 
155
- text_input.submit(generate_for_prompt, [text_input, gr_state, ret_scale_factor, max_ret_images, gr_max_len, gr_temperature], [gr_state, chatbot])
 
156
  text_input.submit(lambda: "", None, text_input) # Reset chatbox.
157
- submit_btn.click(generate_for_prompt, [text_input, gr_state, ret_scale_factor, max_ret_images, gr_max_len, gr_temperature], [gr_state, chatbot])
 
158
  submit_btn.click(lambda: "", None, text_input) # Reset chatbox.
159
 
160
  image_btn.upload(upload_image, [gr_state, image_btn], [gr_state, chatbot])
@@ -164,4 +179,4 @@ with gr.Blocks(css=css) as demo:
164
 
165
 
166
  demo.queue(concurrency_count=1, api_open=False, max_size=16)
167
- demo.launch(debug=True, server_name="0.0.0.0")
 
1
+ import tempfile
2
+ from share_btn import community_icon_html, loading_icon_html, share_js
3
+ import huggingface_hub
4
+ import gradio as gr
5
+ from fromage import utils
6
+ from fromage import models
7
+ import matplotlib.pyplot as plt
8
+ from PIL import Image
9
+ import torch
10
+ import numpy as np
11
  import os
12
  os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "False"
 
 
 
 
 
 
 
 
 
 
 
13
 
14
 
15
  css = """
 
17
  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; width: 13rem;
18
  margin-top: 10px;
19
  margin-left: auto;
20
+ flex: unset;
21
  }
22
  #share-btn {
23
  all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0;
 
35
  """
36
 
37
  # Download model from HF Hub.
38
+ ckpt_path = huggingface_hub.hf_hub_download(
39
+ repo_id='jykoh/fromage', filename='pretrained_ckpt.pth.tar')
40
+ args_path = huggingface_hub.hf_hub_download(
41
+ repo_id='jykoh/fromage', filename='model_args.json')
42
  model = models.load_fromage('./', args_path, ckpt_path)
43
 
44
 
 
46
  conversation = state[0]
47
  chat_history = state[1]
48
  conversation += [(f"![](/file={image_input.name})", "")]
49
+ input_image = Image.open(image_input.name).resize(
50
+ (224, 224)).convert('RGB')
51
  return [conversation, chat_history, input_image], conversation
52
 
53
 
 
89
  if temperature != 0.0:
90
  top_p = 0.95
91
 
92
+ print('Running model.generate_for_images_and_texts with',
93
+ model_inputs, flush=True)
94
+ model_outputs = model.generate_for_images_and_texts(model_inputs,
95
+ num_words=max(num_words, 1), ret_scale_factor=ret_scale_factor, top_p=top_p,
96
+ temperature=temperature, max_num_rets=max_nm_rets)
97
  print('model_outputs', model_outputs, flush=True)
98
 
99
  im_names = []
 
112
  response += f'<img src="/file={filename}">'
113
 
114
  # TODO(jykoh): Persist image inputs.
115
+ chat_history = model_inputs + \
116
+ [' '.join([s for s in model_outputs if type(s) == str]) + '\n']
117
+ # Remove [RET] from outputs.
118
+ conversation.append((input_text, response.replace('[RET]', '')))
119
 
120
  # Set input image to None.
121
  print('state', state, flush=True)
122
  print('updated state', [conversation, chat_history, None], flush=True)
123
+ return [conversation, chat_history, None], conversation, gr.update(visible=True)
124
 
125
 
126
  with gr.Blocks(css=css) as demo:
 
134
 
135
  chatbot = gr.Chatbot(elem_id="chatbot")
136
  gr_state = gr.State([[], [], None]) # chat_history, input_image
137
+ with gr.Row(visible=False) as share_group:
138
+ with gr.Group(elem_id="share-btn-container"):
139
+ community_icon = gr.HTML(community_icon_html)
140
+ loading_icon = gr.HTML(loading_icon_html)
141
+ share_button = gr.Button("Share to community", elem_id="share-btn")
142
 
143
  with gr.Row():
144
  with gr.Column(scale=0.3, min_width=100):
145
+ ret_scale_factor = gr.Slider(minimum=0.0, maximum=3.0, value=1.0, step=0.1, interactive=True,
146
+ label="Multiplier for returning images (higher means more frequent)")
147
+ max_ret_images = gr.Number(
148
+ minimum=0, maximum=3, value=1, precision=1, interactive=True, label="Max images to return")
149
+ gr_max_len = gr.Slider(minimum=1, maximum=64, value=32,
150
+ step=1, interactive=True, label="Max # of words returned")
151
+ gr_temperature = gr.Slider(
152
+ minimum=0.0, maximum=1.0, value=0.0, interactive=True, label="Temperature")
153
 
154
  with gr.Column(scale=0.7, min_width=400):
155
  image_btn = gr.UploadButton("🖼️ Image Input", file_types=["image"])
156
+ text_input = gr.Textbox(
157
+ label="Chat Input", lines=1, placeholder="Upload an image above [optional]. Then enter a text prompt, and press enter!")
158
 
159
  with gr.Row():
160
  with gr.Column(scale=0.33):
161
+ submit_btn = gr.Button(
162
+ "Submit", interactive=True, variant="primary")
163
  with gr.Column(scale=0.33):
164
  clear_last_btn = gr.Button("Clear Last Round")
165
  with gr.Column(scale=0.33):
166
  clear_btn = gr.Button("Clear All")
167
 
168
+ text_input.submit(generate_for_prompt, [text_input, gr_state, ret_scale_factor,
169
+ max_ret_images, gr_max_len, gr_temperature], [gr_state, chatbot, share_group])
170
  text_input.submit(lambda: "", None, text_input) # Reset chatbox.
171
+ submit_btn.click(generate_for_prompt, [text_input, gr_state, ret_scale_factor,
172
+ max_ret_images, gr_max_len, gr_temperature], [gr_state, chatbot, share_group])
173
  submit_btn.click(lambda: "", None, text_input) # Reset chatbox.
174
 
175
  image_btn.upload(upload_image, [gr_state, image_btn], [gr_state, chatbot])
 
179
 
180
 
181
  demo.queue(concurrency_count=1, api_open=False, max_size=16)
182
+ demo.launch(debug=True, server_name="0.0.0.0")
share_btn.py CHANGED
@@ -12,7 +12,9 @@ loading_icon_html = """<svg id="share-btn-loading-icon" style="display:none;" cl
12
 
13
  share_js = """
14
  async () => {
15
- async function uploadFile(file){
 
 
16
  const UPLOAD_URL = 'https://huggingface.co/uploads';
17
  const response = await fetch(UPLOAD_URL, {
18
  method: 'POST',
@@ -25,53 +27,45 @@ async () => {
25
  const url = await response.text();
26
  return url;
27
  }
 
 
 
 
 
 
 
 
 
 
28
 
29
- //Creating dynamic link that automatically click
30
- function downloadURI(uri, name) {
31
- var link = document.createElement("a");
32
- link.download = name;
33
- link.href = uri;
34
- link.click();
35
- }
36
-
37
- //Your modified code.
38
- function printToFile(div) {
39
- html2canvas(div, {
40
- onrendered: function (canvas) {
41
- var myImage = canvas.toDataURL("image/png");
42
- downloadURI("data:" + myImage, "fromage_chat.png");
43
- }
44
- });
45
  }
46
 
47
  const gradioEl = document.querySelector("gradio-app").shadowRoot || document.querySelector('body > gradio-app');
48
  const chatbotEl = gradioEl.querySelector('#chatbot')
49
- printToFile(chatbotEl)
50
- const inputPromptEl = "test test";
51
- //const outputChatbot = await getInputVideoFile(outputVideoEl);
52
- //const urlChatbotImage = await uploadFile(outputChatbot);
53
- const urlChatbotImage = "placeholder";
54
-
55
- let titleTxt = `FROMAGe: ${inputPromptEl}`;
56
 
57
  const shareBtnEl = gradioEl.querySelector('#share-btn');
58
  const shareIconEl = gradioEl.querySelector('#share-btn-share-icon');
59
  const loadingIconEl = gradioEl.querySelector('#share-btn-loading-icon');
60
  shareBtnEl.style.pointerEvents = 'none';
61
  shareIconEl.style.display = 'none';
62
- loadingIconEl.style.removeProperty('display');
63
  const descriptionMd = `
64
- ## ${inputPromptEl}
65
 
66
- ${urlChatbotImage}
67
  `;
68
  const params = new URLSearchParams({
69
  title: titleTxt,
70
  description: descriptionMd,
71
  });
72
- const paramsStr = params.toString();
73
- window.open(`https://huggingface.co/spaces/jykoh/fromage/discussions/new?${paramsStr}`, '_blank');
74
  shareBtnEl.style.removeProperty('pointer-events');
75
  shareIconEl.style.removeProperty('display');
76
  loadingIconEl.style.display = 'none';
77
- }"""
 
 
12
 
13
  share_js = """
14
  async () => {
15
+ const html2canvas = (await import('https://cdnjs.cloudflare.com/ajax/libs/html2canvas/1.4.1/html2canvas.esm.js')).default;
16
+ async function uploadFile(file) {
17
+ console.log(file.type)
18
  const UPLOAD_URL = 'https://huggingface.co/uploads';
19
  const response = await fetch(UPLOAD_URL, {
20
  method: 'POST',
 
27
  const url = await response.text();
28
  return url;
29
  }
30
+ async function getImageFile(div) {
31
+ return new Promise((resolve, reject) =>
32
+ html2canvas(div)
33
+ .then((canvas) => {
34
+ const imageBlob = canvas.toBlob((blob) => {
35
+ const imageId = Date.now();
36
+ const fileName = "FROMAGe-" + imageId + ".jpg";
37
+ resolve(new File([blob], fileName, { type: 'image/jpeg' }));
38
+ }, 'image/jpeg', 0.95);
39
+ })
40
 
41
+ )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  }
43
 
44
  const gradioEl = document.querySelector("gradio-app").shadowRoot || document.querySelector('body > gradio-app');
45
  const chatbotEl = gradioEl.querySelector('#chatbot')
46
+ const imageFile = await getImageFile(chatbotEl);
47
+ const urlChatbotImage = await uploadFile(imageFile);
48
+ console.log(urlChatbotImage);
49
+ let titleTxt = `FROMAGe`;
 
 
 
50
 
51
  const shareBtnEl = gradioEl.querySelector('#share-btn');
52
  const shareIconEl = gradioEl.querySelector('#share-btn-share-icon');
53
  const loadingIconEl = gradioEl.querySelector('#share-btn-loading-icon');
54
  shareBtnEl.style.pointerEvents = 'none';
55
  shareIconEl.style.display = 'none';
56
+ loadingIconEl.style.removeProperty('display');
57
  const descriptionMd = `
 
58
 
59
+ <img src='${urlChatbotImage}'>
60
  `;
61
  const params = new URLSearchParams({
62
  title: titleTxt,
63
  description: descriptionMd,
64
  });
65
+ const paramsStr = params.toString();
66
+ window.open(`https://huggingface.co/spaces/jykoh/fromage/discussions/new?${paramsStr}`, '_blank');
67
  shareBtnEl.style.removeProperty('pointer-events');
68
  shareIconEl.style.removeProperty('display');
69
  loadingIconEl.style.display = 'none';
70
+ }
71
+ """