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Parent(s):
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Upload 6 files
Browse files- app.py +166 -0
- chat_history.db +0 -0
- cookies.py +11 -0
- howtouse.md +56 -0
- requirements.txt +0 -0
- style.css +22 -0
app.py
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import streamlit as st
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from g4f.client import Client
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import sqlite3
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import subprocess
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import pyttsx3
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import os
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from cookies import *
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from undetected_chromedriver import *
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def local_css(file_name):
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with open(file_name) as f:
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st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
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local_css("style.css")
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# Create a connection to the database
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conn = sqlite3.connect('chat_history.db')
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c = conn.cursor()
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# Create table if not exists
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try:
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c.execute('''CREATE TABLE IF NOT EXISTS chat_history
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(conversation_id INTEGER, role TEXT, content TEXT)''')
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conn.commit()
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except Exception as e:
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st.error(f"An error occurred: {e}")
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def copy(text):
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"""
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Copy text to clipboard on Windows.
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Parameters:
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text (str): The text to copy to the clipboard.
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Returns:
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bool: True if the text was successfully copied, False otherwise.
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"""
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try:
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subprocess.run(['clip'], input=text.strip().encode('utf-16'), check=True)
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return True
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except subprocess.CalledProcessError:
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st.error("Error: Unable to copy text to clipboard on Windows.")
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return False
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# Streamlit app
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def main():
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try:
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if "chat_history" not in st.session_state:
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st.session_state.chat_history = []
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if "conversation_id" not in st.session_state:
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st.session_state.conversation_id = 1
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models = {
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"🚀Airoboros 70B": "airoboros-70b",
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"⚡GPT-4 Turbo": "gpt-4-turbo"
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}
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columns = st.columns(3) # Split the layout into three columns
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with columns[0]:
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st.header("DarkGPT")
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with columns[2]:
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selected_model_display_name = st.selectbox("Select Model", list(models.keys()), index=0)
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with columns[1]:
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selected_model = models[selected_model_display_name]
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# Sidebar (left side) - New chat button
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if st.sidebar.button("✨New Chat", key="new_chat_button"):
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st.session_state.chat_history.clear()
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st.session_state.conversation_id += 1
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# Sidebar (left side) - Display saved chat
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st.sidebar.write("Chat History")
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c.execute("SELECT DISTINCT conversation_id FROM chat_history")
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conversations = c.fetchall()
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for conv_id in reversed(conversations):
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c.execute("SELECT content FROM chat_history WHERE conversation_id=? AND role='bot' LIMIT 1",
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(conv_id[0],))
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first_bot_response = c.fetchone()
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if first_bot_response:
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if st.sidebar.button(" ".join(first_bot_response[0].split()[0:5])):
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display_conversation(conv_id[0])
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# Sidebar (left side) - Clear Chat History button
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if st.sidebar.button("Clear Chat History ✖️"):
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st.session_state.chat_history.clear()
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c.execute("DELETE FROM chat_history")
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conn.commit()
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# Main content area (center)
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st.markdown("---")
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if selected_model == "gpt-4-turbo":
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with st.chat_message("bot"):
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st.markdown("Working with this model used the default model for generation.")
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user_input = st.chat_input("Ask Anything ...")
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# Listen for changes in user input and generate completion
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if user_input:
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client = Client()
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response = client.chat.completions.create(
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model=selected_model,
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messages=[{"role": "user", "content": user_input}],
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)
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bot_response = response.choices[0].message.content
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st.session_state.chat_history.append({"role": "user", "content": user_input})
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st.session_state.chat_history.append({"role": "bot", "content": bot_response})
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# Store chat in the database
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for chat in st.session_state.chat_history:
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c.execute("INSERT INTO chat_history VALUES (?, ?, ?)",
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(st.session_state.conversation_id, chat["role"], chat["content"]))
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conn.commit()
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# Display chat history
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for index, chat in enumerate(st.session_state.chat_history):
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with st.chat_message(chat["role"]):
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if chat["role"] == "user":
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st.markdown(chat["content"])
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elif chat["role"] == "bot":
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st.markdown(chat["content"])
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col1 = st.columns(10)
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with col1[0]:
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copy_button = f"text_copy_{index}"
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if st.button('📋', key=copy_button):
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copy(chat["content"]) # Assuming chat["content"] contains the text to copy
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# Add a speak button in the second column
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with col1[1]:
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speak_button = f"text_regenerate_{index}"
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if st.button('🔊', key=speak_button):
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engine = pyttsx3.init()
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engine.say(chat["content"])
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engine.runAndWait()
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except Exception as e:
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st.error(f"An error occurred: {e}")
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except TimeoutError:
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st.error("Check Your Internet Connection:")
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except ConnectionError:
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st.error("Check Your Internet Connection:")
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except RuntimeError:
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st.error("Check Your Internet Connection:")
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def display_conversation(conversation_id):
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c.execute("SELECT * FROM chat_history WHERE conversation_id=?", (conversation_id,))
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chats = c.fetchall()
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st.markdown(f"### Conversation")
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for chat in chats:
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st.markdown(f"{chat[1]}")
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st.markdown(f"{chat[2]}")
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if __name__ == "__main__":
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main()
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chat_history.db
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Binary file (16.4 kB). View file
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cookies.py
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from g4f.cookies import set_cookies
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set_cookies(".bing.com", {
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"_clck": "w3y6fr%7C2%7Cfjl%7C0%7C1517"
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})
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set_cookies("chat.openai.com", {
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"__cflb": "0H28vVfF4aAyg2hkHEuhVVUPGkAFmYvk57xoxRMRm1X"
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})
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set_cookies(".google.com", {
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"__Secure-3PSID": "g.a000hQh_KYcwS81vIoGwzKsyOPzas0X1x5e-k5t1hP-yKs9Glr4Y3QvqZySWierihtij8oAHvgACgYKAcgSAQASFQHGX2Mi2gQjmlI3XdU3m8xFFwtpzRoVAUF8yKoOoZXsIMZcs3KirlD37H8A0076"
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})
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howtouse.md
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# GPT Chat Explorer
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GPT Chat Explorer is an interactive web application that allows users to engage in conversations with various GPT (Generative Pre-trained Transformer) models in real-time. This repository contains the source code for the application.
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## Features
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- **Real-time Conversations:** Engage in natural conversations with GPT models and explore their responses in real-time.
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- **Chat History:** Review and manage chat history organized by conversation ID for easy reference.
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- **Model Selection:** Choose from a selection of GPT models, including GPT-3.5 Turbo, GPT-4, and more.
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- **Custom Styling:** Customize the appearance of the app with custom CSS styles to suit your preferences.
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- **Clear Chat History:** Easily clear chat history with a single click to start fresh.
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- **Interactive Sidebar:** Access key functionalities such as starting a new chat and clearing chat history conveniently from the sidebar.
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- **Error Handling:** Robust error handling ensures smooth operation and provides feedback in case of any issues.
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- **Timestamped Conversations:** View conversation history with timestamps for each message, providing context and chronological order.
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- **Responsive Design:** Enjoy a seamless experience across devices with responsive design elements.
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## Getting Started
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To get started with the GPT Chat Explorer, follow these steps:
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1. **Clone the Repository:**
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```
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git clone https://github.com/codewithdark-git/DarkGPT-Chatbot.git
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```
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2. **Install Dependencies:**
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```
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pip install -r requirements.txt
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```
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3. **Run the Application:**
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```
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streamlit run app.py
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```
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4. **Start Chatting:**
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Open the application in your web browser and start chatting with GPT models!
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## Contributing
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Contributions are welcome! If you'd like to contribute to the project, please follow these steps:
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1. Fork the repository.
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2. Create a new branch (`git checkout -b feature/new-feature`).
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3. Make your changes and commit them (`git commit -am 'Add new feature'`).
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4. Push to the branch (`git push origin feature/new-feature`).
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5. Create a new Pull Request.
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## License
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This project is licensed under the MIT License - see the [LICENSE](../Chatbot/LICENSE) file for details.
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## Acknowledgements
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- This project was inspired by the capabilities of GPT models and the desire to create an interactive chat exploration tool.
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- Special thanks to the Streamlit team for providing a powerful framework for building interactive web applications.
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requirements.txt
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Binary file (226 Bytes). View file
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style.css
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section[data-testid="stSidebar"] div.stButton button {
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border: none;
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color: white;
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padding: auto; /* Adjust padding */
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text-align: center;
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text-decoration: none;
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display: inline-block;
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font-size: 14px;
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margin: -2px -2px;
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transition-duration: 0.4s;
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cursor: pointer;
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border-radius: 10px;
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box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.5);
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min-width: 200px; /* Set minimum width */
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height: auto;
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white-space: normal; /* Allow long text to wrap */
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word-wrap: break-word; /* Allow long text to wrap */
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}
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section[data-testid="stSidebar"] div.stButton button:hover {
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background-color: black; /* Darker green on hover */
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}
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