Merge pull request #221 from repollo/STREAMLIT_CHAT_IMPLEMENTATION

Streamlit chat implementation

.gitignore

@@ -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/

README.md

@@ -92,7 +92,7 @@ Please note the following:
 | **Copyright** | Copyright information | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#copyright) | - |
 | **Star History** | Star History | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#star-history) | - |
 | **Usage Examples** | | | |
-| `theb` | Example usage for theb (gpt-3.5) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./theb/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
+| `theb` | Example usage for theb (gpt-3.5) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](openai_rev/theb/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
 | `forefront` | Example usage for forefront (gpt-4) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./forefront/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | ||
 | `quora (poe)` | Example usage for quora | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./quora/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
 | `you` | Example usage for you | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./you/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
@@ -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

forefront/__init__.py

@@ -38,7 +38,6 @@ class Account:
                                    "email_address": mail_adress
                                }
                                )
-        
         try:
             trace_token = response.json()['response']['id']
             if logging: print(trace_token)

gui/README.md

@@ -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:    
+### streamlit\_chat\_app.py
-<img width="724" alt="image" src="https://user-images.githubusercontent.com/98614666/234232449-0d5cd092-a29d-4759-8197-e00ba712cb1a.png">   
+
+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.

gui/query_methods.py

@@ -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
+

gui/streamlit_app.py

@@ -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(
+        result = you.Completion.create(prompt=question)
-            prompt = question)
 
-        return result['response']
+        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(
+question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
-    '🤖 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')

gui/streamlit_chat_app.py

@@ -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}")

poetry.lock

@@ -0,0 +1,702 @@
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+
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+[package.extras]
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+email = ["email-validator (>=1.0.3)"]
+
+[[package]]
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+version = "0.25.1"
+description = "Manipulate audio with an simple and easy high level interface"
+category = "main"
+optional = false
+python-versions = "*"
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+description = "Bypassing reCaptcha V3 by sending HTTP requests & solving reCaptcha V2 using speech to text."
+category = "main"
+optional = false
+python-versions = ">=3.7"
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+selenium = "*"
+SpeechRecognition = "3.8.1"
+
+[[package]]
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+version = "1.7.1"
+description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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+description = "Python HTTP for Humans."
+category = "main"
+optional = false
+python-versions = ">=3.7"
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+charset-normalizer = ">=2,<4"
+idna = ">=2.5,<4"
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+
+[package.extras]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
+
+[[package]]
+name = "selenium"
+version = "4.9.0"
+description = ""
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
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+trio-websocket = ">=0.9,<1.0"
+urllib3 = {version = ">=1.26,<2.0", extras = ["socks"]}
+
+[[package]]
+name = "sniffio"
+version = "1.3.0"
+description = "Sniff out which async library your code is running under"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
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+]
+
+[[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"},
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+]
+
+[[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"},
+]
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+[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"},
+]
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+[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"},
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+[package.dependencies]
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+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"},
+]
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+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.*"
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+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"

pyproject.toml

@@ -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"

requirements.txt

@@ -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

test.py

@@ -0,0 +1,5 @@
+import theb
+
+for token in theb.Completion.create('hello world'):
+    print(token, end='', flush=True)
+    print('asdsos')

testing/forefront_test.py

@@ -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,
+for response in forefront.StreamingCompletion.create(token=token, prompt='hello world', model='gpt-4'):
-                                                     prompt='hello world', model='gpt-4'):
+    print(response.text, end='')
-    print(response.completion.choices[0].text, end='')

testing/poe_account_create_test.py

@@ -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 openai_rev.quora import extract_formkey
-from quora.mail import Emailnator
+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 = {
+        client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else None
-            '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',
+        token = solver.recaptcha(
+            sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
             url='https://poe.com/login?redirect_url=%2F',
             version='v3',
             enterprise=1,
             invisible=1,
-                                 action='login', )['code']
+            action='login',
+        )['code']
 
-        payload = dumps(separators=(',', ':'), obj={
+        payload = dumps(
+            separators=(',', ':'),
+            obj={
                 'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
-            'variables': {
+                'variables': {'emailAddress': mail_address, 'phoneNumber': None, 'recaptchaToken': token},
-                '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',
-        })
+            },
+        )
 
         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={
+        payload = dumps(
+            separators=(',', ':'),
+            obj={
                 "queryName": "SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation",
-            "variables": {
+                "variables": {"verificationCode": str(mail_token), "emailAddress": mail_address, "phoneNumber": None},
-                "verificationCode": str(mail_token),
+                "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",
-                "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"
+        )
-        })
 
         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)

testing/poe_test.py

@@ -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',
+for response in quora.StreamingCompletion.create(model='ChatGPT', prompt='hello world', token=token):
-                                                 prompt='hello world',
+    print(response.text, flush=True)
-                                                 token=token):
-    print(response.completion.choices[0].text, end="", flush=True)

testing/quora_test_2.py

@@ -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,
+    token=token, model='ChatGPT', system_prompt='you are ChatGPT a large language model ...'  # or claude-instant-v1.0
-    model='gpt-3.5-turbo',  # or claude-instant-v1.0
-    system_prompt='you are ChatGPT a large language model ...'
 )
 
 print(model.name)
 
-for response in quora.StreamingCompletion.create(
+for response in quora.StreamingCompletion.create(custom_model=model.name, prompt='hello world', token=token):
-        custom_model=model.name,
+    print(response.text)
-        prompt='hello world',
-        token=token):
-    print(response.completion.choices[0].text)

testing/sqlchat_test.py

@@ -1,6 +1,4 @@
 import sqlchat
 
-for response in sqlchat.StreamCompletion.create(
+for response in sqlchat.StreamCompletion.create(prompt='write python code to reverse a string', messages=[]):
-        prompt='write python code to reverse a string',
-        messages=[]):
     print(response.completion.choices[0].text, end='')

testing/t3nsor_test.py

@@ -1,6 +1,4 @@
 import t3nsor
 
-for response in t3nsor.StreamCompletion.create(
+for response in t3nsor.StreamCompletion.create(prompt='write python code to reverse a string', messages=[]):
-        prompt='write python code to reverse a string',
-        messages=[]):
     print(response.completion.choices[0].text)

testing/test_main.py

@@ -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)

testing/writesonic_test.py

@@ -11,10 +11,7 @@ account = writesonic.Account.create(logging=True)
 # 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
 
 # simple completion
-response = writesonic.Completion.create(
+response = writesonic.Completion.create(api_key=account.key, prompt='hello world')
-    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=[
+    history_data=[{'is_sent': True, 'message': 'my name is Tekky'}, {'is_sent': False, 'message': 'hello Tekky'}],
-        {
-            '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,
+    api_key=account.key, prompt='who won the quatar world cup ?', enable_google_results=True
-    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 ...

testing/you_test.py

@@ -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)