Spaces:
Sleeping
Sleeping
File size: 9,920 Bytes
1e470c6 c1eaa28 9f2ecc1 0af7025 d864b4b b74f28e 1e470c6 2ff4cb7 d51fa15 d3f2071 6683686 f9cd392 6683686 aedcac8 4b23318 e147353 61675b9 e147353 61675b9 e147353 dd9f1de e147353 2ff4cb7 e147353 2ff4cb7 6683686 2ff4cb7 f3ec440 aedcac8 43adba2 f3ec440 43adba2 2ff4cb7 d864b4b 2ff4cb7 0731f39 0af7025 6475b08 d51fa15 c1eaa28 aa4a9bc 6475b08 d51fa15 0af7025 bf93ff7 11c0800 f3ec440 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 |
# import gradio as gr
# import requests
# import os
# def function(Textbox,Textbox2):
# target = os.environ.get("target")
# target2 = os.environ.get("target2")
# model = os.environ.get("model")
# hrc = os.environ.get("hrc")
# content = os.environ.get("content")
# if Textbox2 == target:
# payload = {
# "model": "gpt-3.5-turbo",
# "messages": [{"role": "system", "content": content},{"role": "user", "content": Textbox}],
# "temperature" : 1.0,
# "top_p":1.0,
# "n" : 1,
# "stream": False,
# "presence_penalty":0,
# "frequency_penalty":0,
# }
# headers = {
# "Content-Type": "application/json",
# "Authorization": f"Bearer {target2}"
# }
# response = requests.post(hrc, headers=headers, json=payload, stream=False)
# response = response.json()
# return response["choices"][0]["message"]["content"]
# else:
# return "Failed"
# inputs = [
# gr.inputs.Textbox(label="Textbox",type="text"),
# gr.inputs.Textbox(label="Textbox2",type="password")
# ]
# iface = gr.Interface(fn=function, inputs=inputs, outputs="text")
# iface.launch()
# import gradio as gr
# import requests
# import openai
# import os
# def function(Textbox,Textbox3):
# target = os.environ.get("target")
# target2 = os.environ.get("target2")
# openai.api_key = target2
# content = os.environ.get("content")
# # model = os.environ.get("model")
# # hrc = os.environ.get("hrc")
# if Textbox3 == target:
# messages = [
# {"role": "system", "content": content},
# ]
# messages.append(
# {"role": "user", "content": Textbox},
# )
# chat = openai.ChatCompletion.create(
# model="gpt-3.5-turbo", messages=messages
# )
# reply = chat.choices[0].message.content
# messages.append({"role": "assistant", "content": reply})
# return reply
# else:
# return "Failed"
# inputs = [
# gr.inputs.Textbox(label="Textbox",type="text"),
# # gr.inputs.Textbox(label="Textbox2",type="text"),
# gr.inputs.Textbox(label="Textbox3",type="password")
# ]
# iface = gr.Interface(fn=function, inputs=inputs, outputs="text")
# iface.launch()
from time import sleep
import gradio as gr
import traceback
import requests
import openai
import random
import base64
import os
def function(Textbox,Textbox2, Textbox3):
target = os.environ.get("target")
target2 = os.environ.get("target2")
content = os.environ.get("content")
content2 = os.environ.get("content2")
auth_key = os.environ.get("auth_key")
link1 = os.environ.get("link1")
path = os.environ.get("path")
link2 = os.environ.get("link2")
if "/web" in Textbox.lower() or "web" in Textbox.lower():
try:
prompt = Textbox.replace("/web","")
except:
prompt = Textbox.replace("web","")
headers = {
"authority": link1,
"method": "POST",
"path": path,
"scheme": "https",
"accept": "application/json, text/plain, */*",
"accept-encoding": "gzip, deflate, br",
"accept-language": "en-US,en;q=0.9",
"content-length": "88",
"content-type": "application/json",
"origin": link2,
"referer": f"{link2}/",
"sec-ch-ua": '"Google Chrome";v="111", "Not(A:Brand";v="8", "Chromium";v="111"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Windows"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-site",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36"
}
href = os.environ.get("href")
response = requests.post(href,json={
"Body":prompt,
"From":f"4b7cec35-d15b-422d-838f-b25583bde426{random.randint(1,100)}"
},headers=headers)
data = response.json()
data = data["message"]
trigger = os.environ.get("trigger")
if trigger in data:
data = data.replace(trigger,"John")
return data
else:
return data
else:
# model = os.environ.get("model")
# hrc = os.environ.get("hrc")
if Textbox3 == target:
Textbox2 = Textbox2.replace("[", "").replace("]", "").replace("'", "")
Textbox2 = Textbox2.split(",")
Textbox2_edited = [x.strip() for x in Textbox2]
Textbox2_edited = list(Textbox2_edited)
Textbox2_edited.append(Textbox)
messages = [
{"role": "system", "content": content2},
]
for i in Textbox2_edited:
messages.append(
{"role": "user", "content": i}
)
try:
# sleep(0.8)
headers = {
"Authorization": f"Bearer {auth_key}"
}
response = requests.post(tagret2, headers=headers, json={
"messages": messages,
"model":"gpt-3.5-turbo"
}).json()
# reply = chat.choices[0].message.content
reply = response['choices'][0]['message']['content']
messages.append({"role": "assistant", "content": reply})
return reply
except Exception as e:
print(traceback.format_exc())
return "Please Wait!"
else:
return "Failed"
inputs = [
gr.inputs.Textbox(label="Textbox",type="text"),
gr.inputs.Textbox(label="Textbox2",type="text"),
gr.inputs.Textbox(label="Textbox3",type="password")
]
iface = gr.Interface(fn=function, inputs=inputs, outputs="text")
iface.launch()
# from time import sleep
# import gradio as gr
# import traceback
# import requests
# import openai
# import random
# import base64
# import os
# def function(Textbox,Textbox2, Textbox3):
# target = os.environ.get("target")
# target2 = os.environ.get("target2")
# openai.api_key = target2
# content = os.environ.get("content")
# content2 = os.environ.get("content2")
# link1 = os.environ.get("link1")
# path = os.environ.get("path")
# link2 = os.environ.get("link2")
# if "/web" in Textbox.lower() or "web" in Textbox.lower():
# try:
# prompt = Textbox.replace("/web","")
# except:
# prompt = Textbox.replace("web","")
# headers = {
# "authority": link1,
# "method": "POST",
# "path": path,
# "scheme": "https",
# "accept": "application/json, text/plain, */*",
# "accept-encoding": "gzip, deflate, br",
# "accept-language": "en-US,en;q=0.9",
# "content-length": "88",
# "content-type": "application/json",
# "origin": link2,
# "referer": f"{link2}/",
# "sec-ch-ua": '"Google Chrome";v="111", "Not(A:Brand";v="8", "Chromium";v="111"',
# "sec-ch-ua-mobile": "?0",
# "sec-ch-ua-platform": '"Windows"',
# "sec-fetch-dest": "empty",
# "sec-fetch-mode": "cors",
# "sec-fetch-site": "same-site",
# "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36"
# }
# href = os.environ.get("href")
# response = requests.post(href,json={
# "Body":prompt,
# "From":f"4b7cec35-d15b-422d-838f-b25583bde426{random.randint(1,100)}"
# },headers=headers)
# data = response.json()
# data = data["message"]
# trigger = os.environ.get("trigger")
# if trigger in data:
# data = data.replace(trigger,"John")
# return data
# else:
# return data
# else:
# # model = os.environ.get("model")
# # hrc = os.environ.get("hrc")
# if Textbox3 == target:
# Textbox2 = Textbox2.replace("[", "").replace("]", "").replace("'", "")
# Textbox2 = Textbox2.split(",")
# Textbox2_edited = [x.strip() for x in Textbox2]
# Textbox2_edited = list(Textbox2_edited)
# Textbox2_edited.append(Textbox)
# messages = [
# {"role": "system", "content": content2},
# ]
# for i in Textbox2_edited:
# messages.append(
# {"role": "user", "content": i}
# )
# try:
# # sleep(1.8)
# response = requests.post(target2, json={
# "messages":messages,
# "model":"gpt-3.5-turbo-003",
# "max_tokens":"null",
# "temperature":1,
# "presence_penalty":0,
# "top_p":1,
# "frequency_penalty":0,
# "stream":False
# }).json()
# reply = response['choices'][0]['message']['content']
# messages.append({"role": "assistant", "content": reply})
# return reply
# except Exception as e:
# print(traceback.format_exc())
# return "Please Wait!"
# else:
# return "Failed"
# inputs = [
# gr.inputs.Textbox(label="Textbox",type="text"),
# gr.inputs.Textbox(label="Textbox2",type="text"),
# gr.inputs.Textbox(label="Textbox3",type="password")
# ]
# iface = gr.Interface(fn=function, inputs=inputs, outputs="text")
# iface.launch()
|