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Runtime error
Runtime error
commune-ai
commited on
Commit
•
fd6a563
1
Parent(s):
acbf84b
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,311 @@
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1 |
+
import gradio as gr
|
2 |
+
from requests.exceptions import ConnectTimeout
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3 |
+
import time
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4 |
+
import requests
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5 |
+
import base64
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6 |
+
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7 |
+
global headers
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8 |
+
global cancel_url
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9 |
+
global path
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10 |
+
path = ''
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11 |
+
cancel_url =''
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12 |
+
headers = {
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13 |
+
'Content-Type': 'application/json',
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14 |
+
'Authorization': 'Token r8_ZGZlzThfRkPZVDMygVclY1XZ9AuxmIQ2qwwPP',
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15 |
+
"Access-Control-Allow-Headers": "Content-Type",
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16 |
+
"Access-Control-Allow-Origin": '**',
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17 |
+
"Access-Control-Allow-Methods": "OPTIONS,POST,GET,PATCH"}
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18 |
+
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19 |
+
with gr.Blocks() as demo:
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20 |
+
owner = "adirik"
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21 |
+
name = "realvisxl-v4.0"
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22 |
+
max_retries = 3
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23 |
+
retry_delay = 2
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24 |
+
for retry in range(max_retries):
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25 |
+
try:
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26 |
+
url = f'https://api.replicate.com/v1/models/{owner}/{name}'
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27 |
+
response = requests.get(url, headers=headers, timeout=10)
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28 |
+
# Process the response
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29 |
+
break # Break out of the loop if the request is successful
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30 |
+
except ConnectTimeout:
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31 |
+
if retry < max_retries - 1:
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32 |
+
print(f"Connection timed out. Retrying in {retry_delay} seconds...")
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33 |
+
time.sleep(retry_delay)
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34 |
+
else:
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35 |
+
print("Max retries exceeded. Unable to establish connection.")
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36 |
+
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37 |
+
data = response.json()
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38 |
+
description =data.get("description", '')
|
39 |
+
title = data.get("default_example",'').get("model",'')
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40 |
+
version = data.get("default_example",'').get("version",'')
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41 |
+
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42 |
+
gr.Markdown(
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43 |
+
f"""
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44 |
+
# {title}
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45 |
+
{description}
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46 |
+
""")
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47 |
+
|
48 |
+
with gr.Row():
|
49 |
+
with gr.Column():
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50 |
+
inputs =[]
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51 |
+
schema = data.get("latest_version", {}).get("openapi_schema", {}).get("components", {}).get("schemas", {})
|
52 |
+
ordered_properties = sorted(schema.get("Input", {}).get("properties", {}).items(), key=lambda x: x[1].get("x-order", 0))
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53 |
+
required = schema.get("Input", '').get('required', [])
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54 |
+
print(required,"required")
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55 |
+
for property_name, property_info in ordered_properties :
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56 |
+
if required:
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57 |
+
for item in required:
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58 |
+
if item == property_name:
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59 |
+
label = "*"+ property_info.get('title', '')
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60 |
+
description = property_info.get('description','')
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61 |
+
break
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62 |
+
else:
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63 |
+
label = property_info.get('title', '')
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64 |
+
description = property_info.get('description','')
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65 |
+
else:
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66 |
+
label = property_info.get('title', '')
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67 |
+
description = property_info.get('description','')
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68 |
+
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69 |
+
if "x-order" in property_info:
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70 |
+
order = int(property_info.get('x-order',''))
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71 |
+
if property_info.get("type", {}) == "integer":
|
72 |
+
value= data.get('default_example', '').get('input','').get(property_name,0)
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73 |
+
if "minimum" and "maximum" in property_info:
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74 |
+
if value == 0:
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75 |
+
inputs.insert(order, gr.Slider(label=label, info= description, value=property_info.get('default', value), minimum=property_info.get('minimum', ''), maximum=property_info.get('maximum', ''), step=1))
|
76 |
+
else:
|
77 |
+
inputs.insert(order, gr.Slider(label=label, info= description, value=value, minimum=property_info.get('minimum', ''), maximum=property_info.get('maximum', ''), step=1))
|
78 |
+
else:
|
79 |
+
if value == 0:
|
80 |
+
inputs.insert(order, gr.Number(label=label, info= description, value=property_info.get('default', value)))
|
81 |
+
else:
|
82 |
+
inputs.insert(order, gr.Number(label=label, info= description, value=value))
|
83 |
+
|
84 |
+
elif property_info.get("type", {}) == "string":
|
85 |
+
value= data.get('default_example', '').get('input','').get(property_name,'')
|
86 |
+
if property_info.get('format','') == 'uri':
|
87 |
+
|
88 |
+
if value :
|
89 |
+
inputs.insert(order, gr.Image(label=label, value=value, type="filepath"))
|
90 |
+
else :
|
91 |
+
inputs.insert(order, gr.Image(label=label, type="filepath"))
|
92 |
+
|
93 |
+
else:
|
94 |
+
if value == '':
|
95 |
+
inputs.insert(order, gr.Textbox(label=label,info= description, value=property_info.get('default', value)))
|
96 |
+
else:
|
97 |
+
inputs.insert(order, gr.Textbox(label=label,info= description, value=value))
|
98 |
+
|
99 |
+
elif property_info.get("type", {}) == "number":
|
100 |
+
value= data.get('default_example', '').get('input','').get(property_name, 0)
|
101 |
+
if "minimum" and "maximum" in property_info:
|
102 |
+
if value == 0:
|
103 |
+
inputs.insert(order, gr.Slider(label=label,info= description, value=property_info.get('default', value), minimum=property_info.get('minimum', ''), maximum=property_info.get('maximum', '')))
|
104 |
+
else:
|
105 |
+
inputs.insert(order, gr.Slider(label=label,info= description, value=value, minimum=property_info.get('minimum', ''), maximum=property_info.get('maximum', '')))
|
106 |
+
else:
|
107 |
+
if value == 0:
|
108 |
+
inputs.insert(order, gr.Number(label=label,info= description, value=property_info.get('default', value)))
|
109 |
+
else:
|
110 |
+
inputs.insert(order, gr.Number(label=label,info= description, value=value))
|
111 |
+
elif property_info.get("type", {}) == "boolean":
|
112 |
+
value= data.get('default_example', '').get('input','').get(property_name,'')
|
113 |
+
if value == '':
|
114 |
+
inputs.insert(order, gr.Checkbox(label=label,info= description, value=property_info.get('default', value)))
|
115 |
+
else:
|
116 |
+
inputs.insert(order, gr.Checkbox(label=label,info= description, value=value))
|
117 |
+
else:
|
118 |
+
value= data.get('default_example', '').get('input','').get(property_name,'')
|
119 |
+
options=schema.get(property_name,'').get('enum',[])
|
120 |
+
if value == '':
|
121 |
+
inputs.insert(order, gr.Dropdown(label=property_name,info= description,choices=options, value=property_info.get("default", value)))
|
122 |
+
else:
|
123 |
+
inputs.insert(order, gr.Dropdown(label=property_name,info= description,choices=options, value=value))
|
124 |
+
|
125 |
+
with gr.Row():
|
126 |
+
cancel_btn = gr.Button("Cancel")
|
127 |
+
run_btn = gr.Button("Run")
|
128 |
+
|
129 |
+
with gr.Column():
|
130 |
+
|
131 |
+
outputs = []
|
132 |
+
outputs.append(gr.Image(value='https://replicate.delivery/pbxt/koQLfGV4o8yWGi4reeIvJQwCxmxrD3S7iQFGre8IfISrpnCTC/out-0.png'))
|
133 |
+
outputs.append(gr.Image(visible=False))
|
134 |
+
outputs.append(gr.Image(visible=False))
|
135 |
+
outputs.append(gr.Image(visible=False))
|
136 |
+
|
137 |
+
|
138 |
+
|
139 |
+
def run_process(input1,input2,input3,input4,input5,input6,input7, input8, input9,input10,input11,input12, input13,input14, input15, input16, input17):
|
140 |
+
global cancel_url
|
141 |
+
cancel_url=''
|
142 |
+
url = 'https://replicate.com/api/predictions'
|
143 |
+
if input3:
|
144 |
+
with open(input3, "rb") as file:
|
145 |
+
data = file.read()
|
146 |
+
|
147 |
+
base64_data = base64.b64encode(data).decode("utf-8")
|
148 |
+
mimetype = "image/jpg"
|
149 |
+
data_uri_image = f"data:{mimetype};base64,{base64_data}"
|
150 |
+
else:
|
151 |
+
data_uri_image=None
|
152 |
+
|
153 |
+
if input4:
|
154 |
+
with open(input4, "rb") as file:
|
155 |
+
data = file.read()
|
156 |
+
|
157 |
+
base64_data = base64.b64encode(data).decode("utf-8")
|
158 |
+
mimetype = "image/jpg"
|
159 |
+
data_uri_mask = f"data:{mimetype};base64,{base64_data}"
|
160 |
+
else:
|
161 |
+
data_uri_mask=None
|
162 |
+
|
163 |
+
if input3:
|
164 |
+
if input4:
|
165 |
+
body = {
|
166 |
+
"version": version,
|
167 |
+
"input": {
|
168 |
+
"prompt": input1,
|
169 |
+
"negative_prompt": input2,
|
170 |
+
"image": data_uri_image,
|
171 |
+
"mask": data_uri_mask,
|
172 |
+
"width": input5,
|
173 |
+
"height": input6,
|
174 |
+
"num_outputs": input7,
|
175 |
+
"scheduler": input8,
|
176 |
+
"num_inference_steps": input9,
|
177 |
+
"guidance_scale": input10,
|
178 |
+
"prompt_strength":input11,
|
179 |
+
"seed": input12,
|
180 |
+
"refine": input13,
|
181 |
+
"high_noise_frac": input14,
|
182 |
+
"refine_steps": input15
|
183 |
+
}
|
184 |
+
}
|
185 |
+
else:
|
186 |
+
body = {
|
187 |
+
"version": version,
|
188 |
+
"input": {
|
189 |
+
"prompt": input1,
|
190 |
+
"negative_prompt": input2,
|
191 |
+
"image": data_uri_image,
|
192 |
+
"width": input5,
|
193 |
+
"height": input6,
|
194 |
+
"num_outputs": input7,
|
195 |
+
"scheduler": input8,
|
196 |
+
"num_inference_steps": input9,
|
197 |
+
"guidance_scale": input10,
|
198 |
+
"prompt_strength":input11,
|
199 |
+
"seed": input12,
|
200 |
+
"refine": input13,
|
201 |
+
"high_noise_frac": input14,
|
202 |
+
"refine_steps": input15
|
203 |
+
}
|
204 |
+
|
205 |
+
}
|
206 |
+
|
207 |
+
else:
|
208 |
+
if input4:
|
209 |
+
body = {
|
210 |
+
"version": version,
|
211 |
+
"input": {
|
212 |
+
"prompt": input1,
|
213 |
+
"negative_prompt": input2,
|
214 |
+
"mask": data_uri_mask,
|
215 |
+
"width": input5,
|
216 |
+
"height": input6,
|
217 |
+
"num_outputs": input7,
|
218 |
+
"scheduler": input8,
|
219 |
+
"num_inference_steps": input9,
|
220 |
+
"guidance_scale": input10,
|
221 |
+
"prompt_strength":input11,
|
222 |
+
"seed": input12,
|
223 |
+
"refine": input13,
|
224 |
+
"high_noise_frac": input14,
|
225 |
+
"refine_steps": input15
|
226 |
+
|
227 |
+
}
|
228 |
+
}
|
229 |
+
else:
|
230 |
+
body = {
|
231 |
+
"version": version,
|
232 |
+
"input": {
|
233 |
+
"prompt": input1,
|
234 |
+
"negative_prompt": input2,
|
235 |
+
"width": input5,
|
236 |
+
"height": input6,
|
237 |
+
"num_outputs": input7,
|
238 |
+
"scheduler": input8,
|
239 |
+
"num_inference_steps": input9,
|
240 |
+
"guidance_scale": input10,
|
241 |
+
"prompt_strength":input11,
|
242 |
+
"seed": input12,
|
243 |
+
"refine": input13,
|
244 |
+
"high_noise_frac": input14,
|
245 |
+
"refine_steps": input15
|
246 |
+
|
247 |
+
}
|
248 |
+
}
|
249 |
+
|
250 |
+
|
251 |
+
|
252 |
+
response = requests.post(url, json=body)
|
253 |
+
print(response.status_code)
|
254 |
+
if response.status_code == 201:
|
255 |
+
response_data = response.json()
|
256 |
+
get_url = response_data.get('urls','').get('get','')
|
257 |
+
identifier = 'https://replicate.com/api/predictions/'+get_url.split("/")[-1]
|
258 |
+
|
259 |
+
print(identifier,'')
|
260 |
+
time.sleep(3)
|
261 |
+
output =verify_image(identifier)
|
262 |
+
print(output,'333')
|
263 |
+
if output:
|
264 |
+
if len(output) == 1:
|
265 |
+
return gr.Image(value=output[0]), gr.Image(),gr.Image(),gr.Image()
|
266 |
+
elif len(output) == 2:
|
267 |
+
return gr.Image(value=output[0]), gr.Image(value=output[1],visible= True),gr.Image(),gr.Image()
|
268 |
+
elif len(output) == 3:
|
269 |
+
return gr.Image(value=output[0]), gr.Image(value=output[1],visible= True),gr.Image(value=output[2],visible= True),gr.Image()
|
270 |
+
elif len(output) == 3:
|
271 |
+
return gr.Image(value=output[0]), gr.Image(value=output[1],visible= True),gr.Image(value=output[2],visible= True),gr.Image(value=output[2],visible= True)
|
272 |
+
|
273 |
+
return gr.Image(),gr.Image(visible=False),gr.Image(visible=False),gr.Image(visible=False)
|
274 |
+
|
275 |
+
def cancel_process(input1,input2,input3,input4,input5,input6,input7, input8, input9,input10,input11,input12, input13,input14, input15, input16, input17):
|
276 |
+
global cancel_url
|
277 |
+
cancel_url = '123'
|
278 |
+
return gr.Image(value='https://replicate.delivery/pbxt/koQLfGV4o8yWGi4reeIvJQwCxmxrD3S7iQFGre8IfISrpnCTC/out-0.png'), gr.Image(visible=False),gr.Image(visible=False),gr.Image(visible=False)
|
279 |
+
|
280 |
+
def verify_image(get_url):
|
281 |
+
res = requests.get(get_url)
|
282 |
+
if res.status_code == 200:
|
283 |
+
res_data = res.json()
|
284 |
+
if res_data.get('error',''):
|
285 |
+
return
|
286 |
+
else:
|
287 |
+
if cancel_url:
|
288 |
+
return
|
289 |
+
else:
|
290 |
+
output = res_data.get('output', [])
|
291 |
+
print(output,'111')
|
292 |
+
if output:
|
293 |
+
print(output,'222')
|
294 |
+
return output
|
295 |
+
|
296 |
+
else:
|
297 |
+
time.sleep(1)
|
298 |
+
val = verify_image(get_url)
|
299 |
+
return val
|
300 |
+
else:
|
301 |
+
return []
|
302 |
+
|
303 |
+
run_btn.click(run_process, inputs=inputs, outputs=outputs, api_name="run")
|
304 |
+
cancel_btn.click(cancel_process, inputs=inputs, outputs=outputs, api_name="cancel")
|
305 |
+
|
306 |
+
demo.launch()
|
307 |
+
|
308 |
+
|
309 |
+
|
310 |
+
|
311 |
+
|