Merge branch 'main' of https://github.com/xtekky/gpt4free
This commit is contained in:
t.me/xtekky
commit
698b8fddde
18
.gitignore
vendored
18
.gitignore
vendored
|
|
@ -7,10 +7,26 @@
|
|||
/dataSources/
|
||||
/dataSources.local.xml
|
||||
|
||||
# Ignore local python virtual environment
|
||||
venv/
|
||||
|
||||
# Ignore streamlit_chat_app.py conversations pickle
|
||||
conversations.pkl
|
||||
*.pkl
|
||||
|
||||
# Ignore accounts created by api's
|
||||
accounts.txt
|
||||
|
||||
.idea/
|
||||
|
||||
*/__pycache__/
|
||||
**/__pycache__/
|
||||
|
||||
__pycache__/
|
||||
|
||||
*.log
|
||||
|
||||
cookie.json
|
||||
|
||||
*.pyc
|
||||
|
||||
dist/
|
||||
|
|
|
|||
|
|
@ -92,7 +92,7 @@ Please note the following:
|
|||
| **Copyright** | Copyright information | [](#copyright) | - |
|
||||
| **Star History** | Star History | [](#star-history) | - |
|
||||
| **Usage Examples** | | | |
|
||||
| `theb` | Example usage for theb (gpt-3.5) | [](./theb/README.md) |  |
|
||||
| `theb` | Example usage for theb (gpt-3.5) | [](openai_rev/theb/README.md) |  |
|
||||
| `forefront` | Example usage for forefront (gpt-4) | [](./forefront/README.md) |  | ||
|
||||
| `quora (poe)` | Example usage for quora | [](./quora/README.md) |  |
|
||||
| `you` | Example usage for you | [](./you/README.md) |  |
|
||||
|
|
@ -103,7 +103,7 @@ Please note the following:
|
|||
|
||||
## Todo <a name="todo"></a>
|
||||
|
||||
- [ ] Add a GUI for the repo
|
||||
- [x] Add a GUI for the repo
|
||||
- [ ] Make a general package named `gpt4free`, instead of different folders
|
||||
- [ ] Live api status to know which are down and which can be used
|
||||
- [ ] Integrate more API's in `./unfinished` as well as other ones in the lists
|
||||
|
|
|
|||
|
|
@ -38,7 +38,6 @@ class Account:
|
|||
"email_address": mail_adress
|
||||
}
|
||||
)
|
||||
|
||||
try:
|
||||
trace_token = response.json()['response']['id']
|
||||
if logging: print(trace_token)
|
||||
|
|
|
|||
|
|
@ -1,11 +1,72 @@
|
|||
# gpt4free gui
|
||||
|
||||
mode `streamlit_app.py` into base folder to run
|
||||
This code provides a Graphical User Interface (GUI) for gpt4free. Users can ask questions and get answers from GPT-4 API's, utilizing multiple API implementations. The project contains two different Streamlit applications: `streamlit_app.py` and `streamlit_chat_app.py`.
|
||||
|
||||
Installation
|
||||
------------
|
||||
|
||||
1. Clone the repository.
|
||||
2. Install the required dependencies with: `pip install -r requirements.txt`.
|
||||
3. To use `streamlit_chat_app.py`, note that it depends on a pull request (PR #24) from the https://github.com/AI-Yash/st-chat/ repository, which may change in the future. The current dependency library can be found at https://github.com/AI-Yash/st-chat/archive/refs/pull/24/head.zip.
|
||||
|
||||
Usage
|
||||
-----
|
||||
|
||||
Choose one of the Streamlit applications to run:
|
||||
|
||||
### streamlit\_app.py
|
||||
|
||||
This application provides a simple interface for asking GPT-4 questions and receiving answers.
|
||||
|
||||
To run the application:
|
||||
|
||||
run:
|
||||
```arduino
|
||||
streamlit run gui/streamlit_app.py
|
||||
```
|
||||
<br>
|
||||
|
||||
<img width="724" alt="image" src="https://user-images.githubusercontent.com/98614666/234232449-0d5cd092-a29d-4759-8197-e00ba712cb1a.png">
|
||||
|
||||
<br>
|
||||
<br>
|
||||
|
||||
preview:
|
||||
|
||||
<img width="1125" alt="image" src="https://user-images.githubusercontent.com/98614666/234232398-09e9d3c5-08e6-4b8a-b4f2-0666e9790c7d.png">
|
||||
|
||||
|
||||
run:
|
||||
<img width="724" alt="image" src="https://user-images.githubusercontent.com/98614666/234232449-0d5cd092-a29d-4759-8197-e00ba712cb1a.png">
|
||||
### streamlit\_chat\_app.py
|
||||
|
||||
This application provides a chat-like interface for asking GPT-4 questions and receiving answers. It supports multiple query methods, and users can select the desired API for their queries. The application also maintains a conversation history.
|
||||
|
||||
To run the application:
|
||||
|
||||
```arduino
|
||||
streamlit run streamlit_chat_app.py
|
||||
```
|
||||
|
||||
<br>
|
||||
|
||||
<img width="724" alt="image" src="image1.png">
|
||||
|
||||
<br>
|
||||
<br>
|
||||
|
||||
preview:
|
||||
|
||||
<img width="1125" alt="image" src="image2.png">
|
||||
|
||||
Contributing
|
||||
------------
|
||||
|
||||
Feel free to submit pull requests, report bugs, or request new features by opening issues on the GitHub repository.
|
||||
|
||||
Bug
|
||||
----
|
||||
There is a bug in `streamlit_chat_app.py` right now that I haven't pinpointed yet, probably is really simple but havent had the time to look for it. Whenever you open a new conversation or access an old conversation it will only start prompt-answering after the second time you input to the text input, other than that, everything else seems to work accordingly.
|
||||
|
||||
License
|
||||
-------
|
||||
|
||||
This project is licensed under the MIT License.
|
||||
0
gui/__init__.py
Normal file
0
gui/__init__.py
Normal file
BIN
gui/image1.png
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BIN
gui/image1.png
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|
After Width: | Height: | Size: 168 KiB |
BIN
gui/image2.png
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gui/image2.png
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|
After Width: | Height: | Size: 336 KiB |
107
gui/query_methods.py
Normal file
107
gui/query_methods.py
Normal file
|
|
@ -0,0 +1,107 @@
|
|||
import os
|
||||
import sys
|
||||
|
||||
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
|
||||
|
||||
import forefront, quora, theb, you
|
||||
import random
|
||||
|
||||
|
||||
|
||||
def query_forefront(question: str) -> str:
|
||||
# create an account
|
||||
token = forefront.Account.create(logging=False)
|
||||
|
||||
response = ""
|
||||
# get a response
|
||||
try:
|
||||
for i in forefront.StreamingCompletion.create(token = token, prompt = 'hello world', model='gpt-4'):
|
||||
response += i.completion.choices[0].text
|
||||
|
||||
return response
|
||||
|
||||
except Exception as e:
|
||||
# Return error message if an exception occurs
|
||||
return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
|
||||
|
||||
|
||||
def query_quora(question: str) -> str:
|
||||
token = quora.Account.create(logging=False, enable_bot_creation=True)
|
||||
response = quora.Completion.create(
|
||||
model='gpt-4',
|
||||
prompt=question,
|
||||
token=token
|
||||
)
|
||||
|
||||
return response.completion.choices[0].tex
|
||||
|
||||
|
||||
def query_theb(question: str) -> str:
|
||||
# Set cloudflare clearance cookie and get answer from GPT-4 model
|
||||
response = ""
|
||||
try:
|
||||
result = theb.Completion.create(
|
||||
prompt = question)
|
||||
return result
|
||||
|
||||
except Exception as e:
|
||||
# Return error message if an exception occurs
|
||||
return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
|
||||
|
||||
|
||||
def query_you(question: str) -> str:
|
||||
# Set cloudflare clearance cookie and get answer from GPT-4 model
|
||||
try:
|
||||
result = you.Completion.create(
|
||||
prompt = question)
|
||||
return result["response"]
|
||||
|
||||
except Exception as e:
|
||||
# Return error message if an exception occurs
|
||||
return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
|
||||
|
||||
# Define a dictionary containing all query methods
|
||||
avail_query_methods = {
|
||||
"Forefront": query_forefront,
|
||||
"Poe": query_quora,
|
||||
"Theb": query_theb,
|
||||
"You": query_you,
|
||||
# "Writesonic": query_writesonic,
|
||||
# "T3nsor": query_t3nsor,
|
||||
# "Phind": query_phind,
|
||||
# "Ora": query_ora,
|
||||
}
|
||||
|
||||
def query(user_input: str, selected_method: str = "Random") -> str:
|
||||
|
||||
# If a specific query method is selected (not "Random") and the method is in the dictionary, try to call it
|
||||
if selected_method != "Random" and selected_method in avail_query_methods:
|
||||
try:
|
||||
return avail_query_methods[selected_method](user_input)
|
||||
except Exception as e:
|
||||
print(f"Error with {selected_method}: {e}")
|
||||
return "😵 Sorry, some error occurred please try again."
|
||||
|
||||
# Initialize variables for determining success and storing the result
|
||||
success = False
|
||||
result = "😵 Sorry, some error occurred please try again."
|
||||
# Create a list of available query methods
|
||||
query_methods_list = list(avail_query_methods.values())
|
||||
|
||||
# Continue trying different methods until a successful result is obtained or all methods have been tried
|
||||
while not success and query_methods_list:
|
||||
# Choose a random method from the list
|
||||
chosen_query = random.choice(query_methods_list)
|
||||
# Find the name of the chosen method
|
||||
chosen_query_name = [k for k, v in avail_query_methods.items() if v == chosen_query][0]
|
||||
try:
|
||||
# Try to call the chosen method with the user input
|
||||
result = chosen_query(user_input)
|
||||
success = True
|
||||
except Exception as e:
|
||||
print(f"Error with {chosen_query_name}: {e}")
|
||||
# Remove the failed method from the list of available methods
|
||||
query_methods_list.remove(chosen_query)
|
||||
|
||||
return result
|
||||
|
||||
|
|
@ -4,19 +4,21 @@ import sys
|
|||
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
|
||||
|
||||
import streamlit as st
|
||||
import you
|
||||
from openai_rev import you
|
||||
|
||||
|
||||
def get_answer(question: str) -> str:
|
||||
# Set cloudflare clearance cookie and get answer from GPT-4 model
|
||||
try:
|
||||
result = you.Completion.create(
|
||||
prompt = question)
|
||||
|
||||
return result['response']
|
||||
|
||||
result = you.Completion.create(prompt=question)
|
||||
|
||||
return result.text
|
||||
|
||||
except Exception as e:
|
||||
# Return error message if an exception occurs
|
||||
return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
|
||||
return (
|
||||
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
|
||||
)
|
||||
|
||||
|
||||
# Set page configuration and add header
|
||||
|
|
@ -27,14 +29,13 @@ st.set_page_config(
|
|||
menu_items={
|
||||
'Get Help': 'https://github.com/xtekky/gpt4free/blob/main/README.md',
|
||||
'Report a bug': "https://github.com/xtekky/gpt4free/issues",
|
||||
'About': "### gptfree GUI"
|
||||
}
|
||||
'About': "### gptfree GUI",
|
||||
},
|
||||
)
|
||||
st.header('GPT4free GUI')
|
||||
|
||||
# Add text area for user input and button to get answer
|
||||
question_text_area = st.text_area(
|
||||
'🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
|
||||
question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
|
||||
if st.button('🧠 Think'):
|
||||
answer = get_answer(question_text_area)
|
||||
escaped = answer.encode('utf-8').decode('unicode-escape')
|
||||
|
|
|
|||
114
gui/streamlit_chat_app.py
Normal file
114
gui/streamlit_chat_app.py
Normal file
|
|
@ -0,0 +1,114 @@
|
|||
import os
|
||||
import sys
|
||||
import atexit
|
||||
|
||||
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
|
||||
|
||||
import streamlit as st
|
||||
from streamlit_chat import message
|
||||
from query_methods import query, avail_query_methods
|
||||
import pickle
|
||||
|
||||
|
||||
conversations_file = "conversations.pkl"
|
||||
|
||||
def load_conversations():
|
||||
try:
|
||||
with open(conversations_file, "rb") as f:
|
||||
return pickle.load(f)
|
||||
except FileNotFoundError:
|
||||
return []
|
||||
except EOFError:
|
||||
return []
|
||||
|
||||
|
||||
def save_conversations(conversations, current_conversation):
|
||||
updated = False
|
||||
for i, conversation in enumerate(conversations):
|
||||
if conversation == current_conversation:
|
||||
conversations[i] = current_conversation
|
||||
updated = True
|
||||
break
|
||||
if not updated:
|
||||
conversations.append(current_conversation)
|
||||
|
||||
temp_conversations_file = "temp_" + conversations_file
|
||||
with open(temp_conversations_file, "wb") as f:
|
||||
pickle.dump(conversations, f)
|
||||
|
||||
os.replace(temp_conversations_file, conversations_file)
|
||||
|
||||
|
||||
def exit_handler():
|
||||
print("Exiting, saving data...")
|
||||
# Perform cleanup operations here, like saving data or closing open files.
|
||||
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
|
||||
|
||||
# Register the exit_handler function to be called when the program is closing.
|
||||
atexit.register(exit_handler)
|
||||
|
||||
|
||||
st.header("Chat Placeholder")
|
||||
|
||||
if 'conversations' not in st.session_state:
|
||||
st.session_state['conversations'] = load_conversations()
|
||||
|
||||
if 'input_text' not in st.session_state:
|
||||
st.session_state['input_text'] = ''
|
||||
|
||||
if 'selected_conversation' not in st.session_state:
|
||||
st.session_state['selected_conversation'] = None
|
||||
|
||||
if 'input_field_key' not in st.session_state:
|
||||
st.session_state['input_field_key'] = 0
|
||||
|
||||
if 'query_method' not in st.session_state:
|
||||
st.session_state['query_method'] = query
|
||||
|
||||
# Initialize new conversation
|
||||
if 'current_conversation' not in st.session_state or st.session_state['current_conversation'] is None:
|
||||
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
|
||||
|
||||
|
||||
input_placeholder = st.empty()
|
||||
user_input = input_placeholder.text_input('You:', key=f'input_text_{len(st.session_state["current_conversation"]["user_inputs"])}')
|
||||
submit_button = st.button("Submit")
|
||||
|
||||
if user_input or submit_button:
|
||||
output = query(user_input, st.session_state['query_method'])
|
||||
|
||||
st.session_state.current_conversation['user_inputs'].append(user_input)
|
||||
st.session_state.current_conversation['generated_responses'].append(output)
|
||||
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
|
||||
user_input = input_placeholder.text_input('You:', value='', key=f'input_text_{len(st.session_state["current_conversation"]["user_inputs"])}') # Clear the input field
|
||||
|
||||
|
||||
# Add a button to create a new conversation
|
||||
if st.sidebar.button("New Conversation"):
|
||||
st.session_state['selected_conversation'] = None
|
||||
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
|
||||
st.session_state['input_field_key'] += 1
|
||||
|
||||
st.session_state['query_method'] = st.sidebar.selectbox(
|
||||
"Select API:",
|
||||
options=avail_query_methods,
|
||||
index=0
|
||||
)
|
||||
|
||||
# Sidebar
|
||||
st.sidebar.header("Conversation History")
|
||||
|
||||
for i, conversation in enumerate(st.session_state.conversations):
|
||||
if st.sidebar.button(f"Conversation {i + 1}: {conversation['user_inputs'][0]}", key=f"sidebar_btn_{i}"):
|
||||
st.session_state['selected_conversation'] = i
|
||||
st.session_state['current_conversation'] = st.session_state.conversations[i]
|
||||
|
||||
if st.session_state['selected_conversation'] is not None:
|
||||
conversation_to_display = st.session_state.conversations[st.session_state['selected_conversation']]
|
||||
else:
|
||||
conversation_to_display = st.session_state.current_conversation
|
||||
|
||||
if conversation_to_display['generated_responses']:
|
||||
for i in range(len(conversation_to_display['generated_responses']) - 1, -1, -1):
|
||||
message(conversation_to_display["generated_responses"][i], key=f"display_generated_{i}")
|
||||
message(conversation_to_display['user_inputs'][i], is_user=True, key=f"display_user_{i}")
|
||||
702
poetry.lock
generated
Normal file
702
poetry.lock
generated
Normal file
|
|
@ -0,0 +1,702 @@
|
|||
# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "async-generator"
|
||||
version = "1.10"
|
||||
description = "Async generators and context managers for Python 3.5+"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
files = [
|
||||
{file = "async_generator-1.10-py3-none-any.whl", hash = "sha256:01c7bf666359b4967d2cda0000cc2e4af16a0ae098cbffcb8472fb9e8ad6585b"},
|
||||
{file = "async_generator-1.10.tar.gz", hash = "sha256:6ebb3d106c12920aaae42ccb6f787ef5eefdcdd166ea3d628fa8476abe712144"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "attrs"
|
||||
version = "23.1.0"
|
||||
description = "Classes Without Boilerplate"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
|
||||
{file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
|
||||
|
||||
[package.extras]
|
||||
cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
|
||||
dev = ["attrs[docs,tests]", "pre-commit"]
|
||||
docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "sortedcontainers"
|
||||
version = "2.4.0"
|
||||
description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
|
||||
{file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "speechrecognition"
|
||||
version = "3.8.1"
|
||||
description = "Library for performing speech recognition, with support for several engines and APIs, online and offline."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "SpeechRecognition-3.8.1-py2.py3-none-any.whl", hash = "sha256:4d8f73a0c05ec70331c3bacaa89ecc06dfa8d9aba0899276664cda06ab597e8e"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tls-client"
|
||||
version = "0.2"
|
||||
description = "Advanced Python HTTP Client."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "tls_client-0.2-py3-none-any.whl", hash = "sha256:26012084e753d7531d32960ec706f81188bb7d825586675fa300b2b44f791412"},
|
||||
{file = "tls_client-0.2.tar.gz", hash = "sha256:eef3860c6f186fa866dc782f1b9e43ae837e40e831f50831c3515cee7c84fd0f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "trio"
|
||||
version = "0.22.0"
|
||||
description = "A friendly Python library for async concurrency and I/O"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "trio-0.22.0-py3-none-any.whl", hash = "sha256:f1dd0780a89bfc880c7c7994519cb53f62aacb2c25ff487001c0052bd721cdf0"},
|
||||
{file = "trio-0.22.0.tar.gz", hash = "sha256:ce68f1c5400a47b137c5a4de72c7c901bd4e7a24fbdebfe9b41de8c6c04eaacf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
async-generator = ">=1.9"
|
||||
attrs = ">=19.2.0"
|
||||
cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
|
||||
exceptiongroup = {version = ">=1.0.0rc9", markers = "python_version < \"3.11\""}
|
||||
idna = "*"
|
||||
outcome = "*"
|
||||
sniffio = "*"
|
||||
sortedcontainers = "*"
|
||||
|
||||
[[package]]
|
||||
name = "trio-websocket"
|
||||
version = "0.10.2"
|
||||
description = "WebSocket library for Trio"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "trio-websocket-0.10.2.tar.gz", hash = "sha256:af13e9393f9051111300287947ec595d601758ce3d165328e7d36325135a8d62"},
|
||||
{file = "trio_websocket-0.10.2-py3-none-any.whl", hash = "sha256:0908435e4eecc49d830ae1c4d6c47b978a75f00594a2be2104d58b61a04cdb53"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
exceptiongroup = "*"
|
||||
trio = ">=0.11"
|
||||
wsproto = ">=0.14"
|
||||
|
||||
[[package]]
|
||||
name = "twocaptcha"
|
||||
version = "0.0.1"
|
||||
description = "2Captcha Python3 API Wrapper"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "TwoCaptcha-0.0.1.tar.gz", hash = "sha256:fd04127de71ca4bd31c22add84a5bcb7c683cf9ee5bf503ca14a8f372ac76a0e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
requests = "*"
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.5.0"
|
||||
description = "Backported and Experimental Type Hints for Python 3.7+"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
|
||||
{file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "1.26.15"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
|
||||
files = [
|
||||
{file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
|
||||
{file = "urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
PySocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
|
||||
secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "websocket-client"
|
||||
version = "1.5.1"
|
||||
description = "WebSocket client for Python with low level API options"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "websocket-client-1.5.1.tar.gz", hash = "sha256:3f09e6d8230892547132177f575a4e3e73cfdf06526e20cc02aa1c3b47184d40"},
|
||||
{file = "websocket_client-1.5.1-py3-none-any.whl", hash = "sha256:cdf5877568b7e83aa7cf2244ab56a3213de587bbe0ce9d8b9600fc77b455d89e"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"]
|
||||
optional = ["python-socks", "wsaccel"]
|
||||
test = ["websockets"]
|
||||
|
||||
[[package]]
|
||||
name = "wsproto"
|
||||
version = "1.2.0"
|
||||
description = "WebSockets state-machine based protocol implementation"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
|
||||
{file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
h11 = ">=0.9.0,<1"
|
||||
|
||||
[[package]]
|
||||
name = "zipp"
|
||||
version = "3.15.0"
|
||||
description = "Backport of pathlib-compatible object wrapper for zip files"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
|
||||
{file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
||||
testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.7"
|
||||
content-hash = "d22aa72ee6bd554c0676a3b6b723090d156a720d03d3b05422a01aa9bf22dda2"
|
||||
28
pyproject.toml
Normal file
28
pyproject.toml
Normal file
|
|
@ -0,0 +1,28 @@
|
|||
[tool.poetry]
|
||||
name = "openai-rev"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Raju Komati <komatiraju032@gmail.com>"]
|
||||
license = "GPL-3.0"
|
||||
readme = "README.md"
|
||||
packages = [{ include = "openai_rev" }]
|
||||
exclude = ["**/*.txt"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.7"
|
||||
websocket-client = "^1.5.1"
|
||||
requests = "2.29.0"
|
||||
tls-client = "^0.2"
|
||||
pypasser = "^0.0.5"
|
||||
names = "^0.3.0"
|
||||
colorama = "^0.4.6"
|
||||
curl-cffi = "^0.5.5"
|
||||
selenium = "^4.9.0"
|
||||
fake-useragent = "^1.1.3"
|
||||
twocaptcha = "^0.0.1"
|
||||
pydantic = "^1.10.7"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
|
@ -9,3 +9,5 @@ streamlit==1.21.0
|
|||
selenium
|
||||
fake-useragent
|
||||
twocaptcha
|
||||
https://github.com/AI-Yash/st-chat/archive/refs/pull/24/head.zip
|
||||
pydantic
|
||||
|
|
|
|||
5
test.py
Normal file
5
test.py
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
import theb
|
||||
|
||||
for token in theb.Completion.create('hello world'):
|
||||
print(token, end='', flush=True)
|
||||
print('asdsos')
|
||||
|
|
@ -1,10 +1,9 @@
|
|||
import forefront
|
||||
from openai_rev import forefront
|
||||
|
||||
# create an account
|
||||
token = forefront.Account.create(logging=True)
|
||||
print(token)
|
||||
|
||||
# get a response
|
||||
for response in forefront.StreamingCompletion.create(token=token,
|
||||
prompt='hello world', model='gpt-4'):
|
||||
print(response.completion.choices[0].text, end='')
|
||||
for response in forefront.StreamingCompletion.create(token=token, prompt='hello world', model='gpt-4'):
|
||||
print(response.text, end='')
|
||||
|
|
|
|||
|
|
@ -1,27 +1,28 @@
|
|||
from hashlib import md5
|
||||
from json import dumps
|
||||
from re import findall
|
||||
from typing import Optional
|
||||
|
||||
from tls_client import Session as TLS
|
||||
from twocaptcha import TwoCaptcha
|
||||
|
||||
from quora import extract_formkey
|
||||
from quora.mail import Emailnator
|
||||
from openai_rev.quora import extract_formkey
|
||||
from openai_rev.quora.mail import Emailnator
|
||||
|
||||
solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
|
||||
|
||||
|
||||
class Account:
|
||||
def create(proxy: None or str = None, logging: bool = False, enable_bot_creation: bool = False):
|
||||
@staticmethod
|
||||
def create(proxy: Optional[str] = None, logging: bool = False, enable_bot_creation: bool = False):
|
||||
client = TLS(client_identifier='chrome110')
|
||||
client.proxies = {
|
||||
'http': f'http://{proxy}',
|
||||
'https': f'http://{proxy}'} if proxy else None
|
||||
client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else None
|
||||
|
||||
mail_client = Emailnator()
|
||||
mail_address = mail_client.get_mail()
|
||||
|
||||
if logging: print('email', mail_address)
|
||||
if logging:
|
||||
print('email', mail_address)
|
||||
|
||||
client.headers = {
|
||||
'authority': 'poe.com',
|
||||
|
|
@ -39,29 +40,30 @@ class Account:
|
|||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-origin',
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
|
||||
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
|
||||
}
|
||||
|
||||
client.headers["poe-formkey"] = extract_formkey(client.get('https://poe.com/login').text)
|
||||
client.headers["poe-tchannel"] = client.get('https://poe.com/api/settings').json()['tchannelData']['channel']
|
||||
|
||||
# token = reCaptchaV3('https://www.recaptcha.net/recaptcha/enterprise/anchor?ar=1&k=6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG&co=aHR0cHM6Ly9wb2UuY29tOjQ0Mw..&hl=en&v=4PnKmGB9wRHh1i04o7YUICeI&size=invisible&cb=bi6ivxoskyal')
|
||||
token = solver.recaptcha(sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
|
||||
url='https://poe.com/login?redirect_url=%2F',
|
||||
version='v3',
|
||||
enterprise=1,
|
||||
invisible=1,
|
||||
action='login', )['code']
|
||||
token = solver.recaptcha(
|
||||
sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
|
||||
url='https://poe.com/login?redirect_url=%2F',
|
||||
version='v3',
|
||||
enterprise=1,
|
||||
invisible=1,
|
||||
action='login',
|
||||
)['code']
|
||||
|
||||
payload = dumps(separators=(',', ':'), obj={
|
||||
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
|
||||
'variables': {
|
||||
'emailAddress': mail_address,
|
||||
'phoneNumber': None,
|
||||
'recaptchaToken': token
|
||||
payload = dumps(
|
||||
separators=(',', ':'),
|
||||
obj={
|
||||
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
|
||||
'variables': {'emailAddress': mail_address, 'phoneNumber': None, 'recaptchaToken': token},
|
||||
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
|
||||
},
|
||||
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
|
||||
})
|
||||
)
|
||||
|
||||
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
|
||||
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
|
||||
|
|
@ -74,31 +76,34 @@ class Account:
|
|||
print('please try using a proxy / wait for fix')
|
||||
|
||||
if 'Bad Request' in response.text:
|
||||
if logging: print('bad request, retrying...', response.json())
|
||||
if logging:
|
||||
print('bad request, retrying...', response.json())
|
||||
quit()
|
||||
|
||||
if logging: print('send_code', response.json())
|
||||
if logging:
|
||||
print('send_code', response.json())
|
||||
|
||||
mail_content = mail_client.get_message()
|
||||
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
|
||||
|
||||
if logging: print('code', mail_token)
|
||||
if logging:
|
||||
print('code', mail_token)
|
||||
|
||||
payload = dumps(separators=(',', ':'), obj={
|
||||
"queryName": "SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation",
|
||||
"variables": {
|
||||
"verificationCode": str(mail_token),
|
||||
"emailAddress": mail_address,
|
||||
"phoneNumber": None
|
||||
payload = dumps(
|
||||
separators=(',', ':'),
|
||||
obj={
|
||||
"queryName": "SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation",
|
||||
"variables": {"verificationCode": str(mail_token), "emailAddress": mail_address, "phoneNumber": None},
|
||||
"query": "mutation SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation(\n $verificationCode: String!\n $emailAddress: String\n $phoneNumber: String\n) {\n signupWithVerificationCode(verificationCode: $verificationCode, emailAddress: $emailAddress, phoneNumber: $phoneNumber) {\n status\n errorMessage\n }\n}\n",
|
||||
},
|
||||
"query": "mutation SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation(\n $verificationCode: String!\n $emailAddress: String\n $phoneNumber: String\n) {\n signupWithVerificationCode(verificationCode: $verificationCode, emailAddress: $emailAddress, phoneNumber: $phoneNumber) {\n status\n errorMessage\n }\n}\n"
|
||||
})
|
||||
)
|
||||
|
||||
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
|
||||
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
|
||||
|
||||
response = client.post('https://poe.com/api/gql_POST', data=payload)
|
||||
if logging: print('verify_code', response.json())
|
||||
if logging:
|
||||
print('verify_code', response.json())
|
||||
|
||||
|
||||
Account.create(proxy='xtekky:wegwgwegwed_streaming-1@geo.iproyal.com:12321', logging=True)
|
||||
|
|
|
|||
|
|
@ -1,13 +1,11 @@
|
|||
from time import sleep
|
||||
|
||||
import quora
|
||||
from openai_rev import quora
|
||||
|
||||
token = quora.Account.create(proxy=None, logging=True)
|
||||
print('token', token)
|
||||
|
||||
sleep(2)
|
||||
|
||||
for response in quora.StreamingCompletion.create(model='gpt-3.5-turbo',
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.completion.choices[0].text, end="", flush=True)
|
||||
for response in quora.StreamingCompletion.create(model='ChatGPT', prompt='hello world', token=token):
|
||||
print(response.text, flush=True)
|
||||
|
|
|
|||
|
|
@ -1,17 +1,12 @@
|
|||
import quora
|
||||
from openai_rev import quora
|
||||
|
||||
token = quora.Account.create(logging=True, enable_bot_creation=True)
|
||||
|
||||
model = quora.Model.create(
|
||||
token=token,
|
||||
model='gpt-3.5-turbo', # or claude-instant-v1.0
|
||||
system_prompt='you are ChatGPT a large language model ...'
|
||||
token=token, model='ChatGPT', system_prompt='you are ChatGPT a large language model ...' # or claude-instant-v1.0
|
||||
)
|
||||
|
||||
print(model.name)
|
||||
|
||||
for response in quora.StreamingCompletion.create(
|
||||
custom_model=model.name,
|
||||
prompt='hello world',
|
||||
token=token):
|
||||
print(response.completion.choices[0].text)
|
||||
for response in quora.StreamingCompletion.create(custom_model=model.name, prompt='hello world', token=token):
|
||||
print(response.text)
|
||||
|
|
|
|||
|
|
@ -1,6 +1,4 @@
|
|||
import sqlchat
|
||||
|
||||
for response in sqlchat.StreamCompletion.create(
|
||||
prompt='write python code to reverse a string',
|
||||
messages=[]):
|
||||
for response in sqlchat.StreamCompletion.create(prompt='write python code to reverse a string', messages=[]):
|
||||
print(response.completion.choices[0].text, end='')
|
||||
|
|
|
|||
|
|
@ -1,6 +1,4 @@
|
|||
import t3nsor
|
||||
|
||||
for response in t3nsor.StreamCompletion.create(
|
||||
prompt='write python code to reverse a string',
|
||||
messages=[]):
|
||||
for response in t3nsor.StreamCompletion.create(prompt='write python code to reverse a string', messages=[]):
|
||||
print(response.completion.choices[0].text)
|
||||
|
|
|
|||
24
testing/test_main.py
Normal file
24
testing/test_main.py
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
from openai_rev import openai_rev, Provider, quora, forefront
|
||||
|
||||
# usage You
|
||||
response = openai_rev.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
|
||||
print(response)
|
||||
|
||||
# usage Poe
|
||||
token = quora.Account.create(logging=False)
|
||||
response = openai_rev.Completion.create(
|
||||
Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT'
|
||||
)
|
||||
print(response)
|
||||
|
||||
# usage forefront
|
||||
token = forefront.Account.create(logging=False)
|
||||
response = openai_rev.Completion.create(
|
||||
Provider.ForeFront, prompt='Write a poem on Lionel Messi', model='gpt-4', token=token
|
||||
)
|
||||
print(response)
|
||||
print(f'END')
|
||||
|
||||
# usage theb
|
||||
response = openai_rev.Completion.create(Provider.Theb, prompt='Write a poem on Lionel Messi')
|
||||
print(response)
|
||||
|
|
@ -4,17 +4,14 @@ import writesonic
|
|||
# create account (3-4s)
|
||||
account = writesonic.Account.create(logging=True)
|
||||
|
||||
# with loging:
|
||||
# with loging:
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
|
||||
# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
|
||||
# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
|
||||
|
||||
# simple completion
|
||||
response = writesonic.Completion.create(
|
||||
api_key=account.key,
|
||||
prompt='hello world'
|
||||
)
|
||||
response = writesonic.Completion.create(api_key=account.key, prompt='hello world')
|
||||
|
||||
print(response.completion.choices[0].text) # Hello! How may I assist you today?
|
||||
|
||||
|
|
@ -24,16 +21,7 @@ response = writesonic.Completion.create(
|
|||
api_key=account.key,
|
||||
prompt='what is my name ?',
|
||||
enable_memory=True,
|
||||
history_data=[
|
||||
{
|
||||
'is_sent': True,
|
||||
'message': 'my name is Tekky'
|
||||
},
|
||||
{
|
||||
'is_sent': False,
|
||||
'message': 'hello Tekky'
|
||||
}
|
||||
]
|
||||
history_data=[{'is_sent': True, 'message': 'my name is Tekky'}, {'is_sent': False, 'message': 'hello Tekky'}],
|
||||
)
|
||||
|
||||
print(response.completion.choices[0].text) # Your name is Tekky.
|
||||
|
|
@ -41,9 +29,7 @@ print(response.completion.choices[0].text) # Your name is Tekky.
|
|||
# enable internet
|
||||
|
||||
response = writesonic.Completion.create(
|
||||
api_key=account.key,
|
||||
prompt='who won the quatar world cup ?',
|
||||
enable_google_results=True
|
||||
api_key=account.key, prompt='who won the quatar world cup ?', enable_google_results=True
|
||||
)
|
||||
|
||||
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
import you
|
||||
from openai_rev import you
|
||||
|
||||
# simple request with links and details
|
||||
response = you.Completion.create(prompt="hello world", detailed=True, include_links=True)
|
||||
|
|
|
|||
Loading…
Reference in a new issue