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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 | 163 | ||||
| -rw-r--r-- | gui/streamlit_chat_app.py | 97 |
6 files changed, 324 insertions, 3 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..d7e269ce --- /dev/null +++ b/gui/query_methods.py @@ -0,0 +1,163 @@ +import forefront, quora, theb, you +import random + + + +def query_forefront(question: str) -> str: + # create an account + token = forefront.Account.create(logging=True) + + # get a response + try: + result = forefront.StreamingCompletion.create(token = token, prompt = 'hello world', model='gpt-4') + + 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.' + + +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 + try: + result = theb.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.' + + +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, + "Quora": 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 + + +__all__ = ['query', 'avail_query_methods'] + + + +# def query_ora(question:str)->str: +# result ="" +# try: +# gpt4_chatbot_ids = ['b8b12eaa-5d47-44d3-92a6-4d706f2bcacf', 'fbe53266-673c-4b70-9d2d-d247785ccd91', 'bd5781cf-727a-45e9-80fd-a3cfce1350c6', '993a0102-d397-47f6-98c3-2587f2c9ec3a', 'ae5c524e-d025-478b-ad46-8843a5745261', 'cc510743-e4ab-485e-9191-76960ecb6040', 'a5cd2481-8e24-4938-aa25-8e26d6233390', '6bca5930-2aa1-4bf4-96a7-bea4d32dcdac', '884a5f2b-47a2-47a5-9e0f-851bbe76b57c', 'd5f3c491-0e74-4ef7-bdca-b7d27c59e6b3', 'd72e83f6-ef4e-4702-844f-cf4bd432eef7', '6e80b170-11ed-4f1a-b992-fd04d7a9e78c', '8ef52d68-1b01-466f-bfbf-f25c13ff4a72', 'd0674e11-f22e-406b-98bc-c1ba8564f749', 'a051381d-6530-463f-be68-020afddf6a8f', '99c0afa1-9e32-4566-8909-f4ef9ac06226', '1be65282-9c59-4a96-99f8-d225059d9001', 'dba16bd8-5785-4248-a8e9-b5d1ecbfdd60', '1731450d-3226-42d0-b41c-4129fe009524', '8e74635d-000e-4819-ab2c-4e986b7a0f48', 'afe7ed01-c1ac-4129-9c71-2ca7f3800b30', 'e374c37a-8c44-4f0e-9e9f-1ad4609f24f5'] +# chatbot_id = random.choice(gpt4_chatbot_ids) +# model = ora.CompletionModel.load(chatbot_id, 'gpt-4') +# response = ora.Completion.create(model, question) +# result = response.completion.choices[0].text +# except Exception as e: +# print(f"Error : {e}") +# result = "😵 Sorry, some error occurred please try again." +# return result + + +# def query_writesonic(question:str)->str: +# account = writesonic.Account.create(logging = False) +# response = writesonic.Completion.create( +# api_key = account.key, +# prompt = question, +# ) + +# return response.completion.choices[0].text + + +# def query_t3nsor(question: str) -> str: +# messages = [] + +# user = question + +# t3nsor_cmpl = t3nsor.Completion.create( +# prompt=user, +# messages=messages +# ) + +# messages.extend([ +# {'role': 'user', 'content': user}, +# {'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text} +# ]) + +# return t3nsor_cmpl.completion.choices[0].text + + + +# def query_phind(question:str)->str: +# phind.cf_clearance = 'KvXc1rh.TFQG1rNF0eMlcpJbsdmJkYgvmqS42OOfqUk-1682393898-0-160' +# # phind.cf_clearance = 'heguhSRBB9d0sjLvGbQECS8b80m2BQ31xEmk9ChshKI-1682268995-0-160' +# # phind.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' +# phind.user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.4.1 Safari/605.1.15' +# result = phind.Completion.create( +# model = 'gpt-4', +# prompt = question, +# results = phind.Search.create(question, actualSearch = False), +# creative = False, +# detailed = False, +# codeContext = '') +# # print(result.completion.choices[0].text) +# return result.completion.choices[0].text diff --git a/gui/streamlit_chat_app.py b/gui/streamlit_chat_app.py new file mode 100644 index 00000000..ed3474fd --- /dev/null +++ b/gui/streamlit_chat_app.py @@ -0,0 +1,97 @@ +import os +import sys + +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 [] + +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) + with open(conversations_file, "wb") as f: + pickle.dump(conversations, f) + +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.keys(), + 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}") |
