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Diffstat (limited to '')
| -rw-r--r-- | gui/README.md | 67 | ||||
| -rw-r--r-- | gui/__init__.py | 0 | ||||
| -rw-r--r-- | gui/image1.png | bin | 0 -> 172284 bytes | |||
| -rw-r--r-- | gui/image2.png | bin | 0 -> 343564 bytes | |||
| -rw-r--r-- | gui/query_methods.py | 107 | ||||
| -rw-r--r-- | gui/streamlit_app.py | 23 | ||||
| -rw-r--r-- | gui/streamlit_chat_app.py | 114 |
7 files changed, 297 insertions, 14 deletions
diff --git a/gui/README.md b/gui/README.md index 133abe4b..c638c4dc 100644 --- a/gui/README.md +++ b/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: -<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.
\ No newline at end of file diff --git a/gui/__init__.py b/gui/__init__.py new file mode 100644 index 00000000..e69de29b --- /dev/null +++ b/gui/__init__.py diff --git a/gui/image1.png b/gui/image1.png Binary files differnew file mode 100644 index 00000000..fb84ae7f --- /dev/null +++ b/gui/image1.png diff --git a/gui/image2.png b/gui/image2.png Binary files differnew file mode 100644 index 00000000..c5fc91c9 --- /dev/null +++ b/gui/image2.png diff --git a/gui/query_methods.py b/gui/query_methods.py new file mode 100644 index 00000000..1a4a3402 --- /dev/null +++ b/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 + diff --git a/gui/streamlit_app.py b/gui/streamlit_app.py index 8251be2b..d1975bbd 100644 --- a/gui/streamlit_app.py +++ b/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( - 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') diff --git a/gui/streamlit_chat_app.py b/gui/streamlit_chat_app.py new file mode 100644 index 00000000..dce8ef29 --- /dev/null +++ b/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}") |
