flasktestgradio / app.py
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# 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
from io import BytesIO
from PIL import Image
import gradio as gr
import numpy as np
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
openai.api_base = os.environ.get("base")
content = os.environ.get("content")
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")
def send_request(reply):
try:
response = requests.get(f"https://api.placid.app/u/pydav4ibo?quote[text]={reply}")
print(f'Response HTTP Status Code: {response.status_code}')
response.raise_for_status()
image = Image.open(BytesIO(response.content))
image_array = np.array(image)
return image_array
except requests.exceptions.RequestException as e:
print('HTTP Request failed:', str(e))
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": content},
]
for i in Textbox2_edited:
messages.append(
{"role": "user", "content": i}
)
try:
sleep(0.8)
chat = openai.ChatCompletion.create(
model="gpt-3.5-turbo", messages=messages
)
print(messages)
reply = chat.choices[0].message.content
image_array = send_request(reply)
messages.append({"role": "assistant", "content": reply})
return image_array
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")
]
outputs = gr.outputs.Image(type="numpy")
iface = gr.Interface(fn=function, inputs=inputs, outputs=outputs)
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(target2, json={
# "messages": messages
# }).json()
# # reply = response['choices'][0]['message']['content']
# reply = response["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 json
# import os
# def function(Textbox,Textbox2, Textbox3, Textbox4):
# 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:
# try:
# # sleep(0.8)
# # headers = {
# # "Authorization": f"Bearer {auth_key}"
# # }
# response = requests.post(target2, headers={
# "Content-Type": "application/json"
# }, data=json.dumps({
# "text": Textbox,
# "key": auth_key,
# "playerId": Textbox4,
# "speak": False
# }))
# # reply = response['choices'][0]['message']['content']
# response = response.json()
# reply = response["output"]["text"]
# 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"),
# gr.inputs.Textbox(label="Textbox4",type="text")
# ]
# 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()