gpt4free
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Published
20 hours ago •
xtekky
xtekky
new gpt4free GUI design
Use this,
app.py:
import streamlit as st
from streamlit_chat import message
from query_methods import query
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=["Random", "Writesonic", "T3nsor", "Quora", "Phind", "Ora"],
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}")
and query_methods.py:
import ora, phind, quora, t3nsor, writesonic
import random
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_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].text
def query_phind(question:str)->str:
# 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'
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
def query(user_input: str, selected_method: str = "Random") -> str:
# Define a dictionary containing all query methods
query_methods = {
"Writesonic": query_writesonic,
"T3nsor": query_t3nsor,
"Quora": query_quora,
"Phind": query_phind,
"Ora": query_ora,
}
# 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 query_methods:
try:
return 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(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 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
