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Upload 3 files
Browse files- app.py +69 -0
- htmlTemplate.py +74 -0
- requirements.txt +7 -0
app.py
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from dotenv import load_dotenv
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import streamlit as st
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from langchain_experimental.agents import create_csv_agent
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from langchain.llms import HuggingFaceHub
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from htmlTemplate import css, bot_template, user_template
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load_dotenv()
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def main():
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st.set_page_config(
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page_title= "QnA with CSV",
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page_icon=":robot_face:",
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layout="wide"
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)
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st.write(css, unsafe_allow_html=True)
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st.title("QnA with CSV 🤖")
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user_csv = st.file_uploader(label = "", type= "csv")
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if not user_csv:
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st.warning("Please Upload your CSV file 🚨")
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llm = HuggingFaceHub(
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repo_id = "mistralai/Mistral-7B-Instruct-v0.2",
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model_kwargs = {
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'max_new_tokens': 249,
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'temperature': 0.3,
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}
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)
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user_input = st.chat_input("Ask your Question about CSV files",
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disabled= not user_csv)
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with st.sidebar:
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st.subheader("Example Questions:")
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example_questions = [
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"What is the total number of rows in the CSV?",
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"Can you show me the first 5 rows of the CSV?",
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"What are the column names in the CSV?",
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"How many columns does the CSV have?",
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"What is the data type of a specific column in the CSV?",
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"Can you provide a summary statistics for the numerical columns?",
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"Are there any missing values in the CSV?",
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"Can you filter the data based on a specific condition?",
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"What is the average value of a numerical column?",
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]
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selected_example = st.selectbox("Select an example question:", example_questions, disabled= not user_csv)
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if not user_csv:
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st.warning("Please Upload your CSV file 🚨")
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if st.button("Use Selected Example"):
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user_input = selected_example
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if user_csv is not None:
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agent = create_csv_agent(
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llm = llm,
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path = user_csv,
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verbose = True,
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handle_parsing_errors=True
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)
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if user_input is not None and user_input != "":
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st.write(user_template.replace("{{MSG}}",user_input), unsafe_allow_html= True)
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with st.spinner("Processing..."):
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response = agent.run(user_input)
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st.write(bot_template.replace("{{MSG}}",response), unsafe_allow_html= True)
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if __name__ == "__main__":
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main()
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htmlTemplate.py
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# Updated CSS
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# CSS Styles
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css = '''
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<style>
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/* Styling for the chat messages */
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.chat-message {
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padding: 1rem;
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border-radius: 0.5rem;
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margin-bottom: 1rem;
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display: flex;
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border: 1px solid #d3d3d3; /* Add a subtle border */
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}
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/* Styling for user messages */
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.chat-message.user {
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background-color: #2b313e;
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}
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/* Styling for bot messages */
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.chat-message.bot {
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background-color: #475063;
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}
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/* Styling for the avatar */
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.chat-message .avatar {
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width: 15%; /* Adjust avatar size */
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}
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/* Styling for the avatar image */
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.chat-message .avatar img {
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max-width: 60px;
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max-height: 60px;
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border-radius: 50%;
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object-fit: cover;
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}
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/* Styling for the message content */
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.chat-message .message {
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width: auto; /* Adjust message width */
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padding: 0.75rem;
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color: #fff;
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margin-right: 1rem; /* Add margin to the left of the message */
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margin-left: 1rem;
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}
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/* Styling for strong (name) in the message */
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.chat-message .message strong {
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margin-right: 0.25rem; /* Adjust the margin as needed */
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}
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</style>
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'''
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# HTML Templates for Bot and User Messages
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bot_template = '''
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<div class="chat-message bot">
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<div class="avatar">
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<img src="https://i.ibb.co/3pvQJ2B/bot-icon.jpg">
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</div>
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<div class="message">
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<strong>Baymax:</strong> {{MSG}}
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</div>
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</div>
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'''
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user_template = '''
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<div class="chat-message user">
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<div class="avatar">
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<img src="https://i.ibb.co/HY8rRpL/human.jpg">
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</div>
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<div class="message">
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<strong>Tadashi:</strong> {{MSG}}
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</div>
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</div>
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'''
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requirements.txt
ADDED
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@@ -0,0 +1,7 @@
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+
huggingface_hub
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+
python-dotenv
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+
langchain
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| 4 |
+
sentence-transformers
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+
streamlit
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| 6 |
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langchain-experimental
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tabulate
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