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 replicate
import traceback
import requests
import openai
import random
import base64
import os
import urllib.request
def function(Textbox, Textbox2, Textbox3, Dropdown):
target = os.environ.get("target")
target2 = os.environ.get("target2")
os.environ["REPLICATE_API_TOKEN"] = os.environ.get("tk")
# 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:
def download_image(url):
try:
with urllib.request.urlopen(url) as response:
image_data = response.read()
image = Image.open(BytesIO(image_data))
image_array = np.array(image)
return image_array
except urllib.error.URLError as e:
print('URL Error:', str(e))
except IOError as e:
print('IO Error:', str(e))
if Textbox3 == target:
if Dropdown == "Option1":
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)
data = {
"messages": [
{"role": "system", "content": content}
]
}
for i in Textbox2_edited:
data["messages"].append(
{"role": "user", "content": i}
)
try:
sleep(0.8)
# chat = openai.ChatCompletion.create(
# model="gpt-3.5-turbo", messages=messages
# )
response = requests.post(target2, json=data)
reply = response.content.decode("utf-8")
# reply = reply.replace(" ", "%20")
# image_array = download_image(f"https://api.placid.app/u/pydav4ibo?quote[text]={reply}")
data["messages"].append({"role": "assistant", "content": reply})
return reply
except Exception as e:
print(traceback.format_exc())
return "Please Wait!"
elif Dropdown == "Option2":
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)
data = {
"messages": [
{"role": "system", "content": content}
]
}
for i in Textbox2_edited:
data["messages"].append(
{"role": "user", "content": i}
)
try:
sleep(0.8)
# chat = openai.ChatCompletion.create(
# model="gpt-3.5-turbo", messages=messages
# )
response = requests.post(target2, json=data)
reply = response.content.decode("utf-8")
# reply = reply.replace(" ", "%20")
# image_array = download_image(f"https://api.placid.app/u/pydav4ibo?quote[text]={reply}")
data["messages"].append({"role": "assistant", "content": reply})
output = replicate.run(
"suno-ai/bark:b76242b40d67c76ab6742e987628a2a9ac019e11d56ab96c4e91ce03b79b2787",
input={
"prompt": reply,
"history_prompt": "en_speaker_5"
}
)
output = output["audio_out"]
return output
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.Dropdown(["Option1", "Option2"], label="Dropdown")
]
# outputs = gr.outputs.Image(type="numpy")
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(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()