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| import streamlit as st | |
| import pandas as pd | |
| from db import insert_data_if_empty, get_mongo_client | |
| from chatbot import chatbot_response | |
| # Sidebar: Display image and title. | |
| st.sidebar.image("https://huggingface.co/spaces/sharangrav24/SentimentAnalysis/resolve/main/sen_analysis.png", width=200) | |
| st.sidebar.markdown("## Group A Submission - Python") | |
| # Sidebar: Add submitted by details. | |
| st.sidebar.markdown(""" | |
| **Submitted by-** | |
| 📌Kumar Sharangrav [C] (GMP-21-10) | |
| 📌Amit Sanjeev (GMP-21-01) | |
| 📌Anoop G Zacharia (GMP-21-03) | |
| 📌Anviti Pant (GMP-21-05) | |
| """) | |
| # Ensure historical data is inserted into MongoDB if not already present. | |
| insert_data_if_empty() | |
| # Connect to MongoDB (optional: for additional visualizations) | |
| collection = get_mongo_client() | |
| st.subheader("💬 Chatbot with Sentiment Analysis & Category Extraction") | |
| # Create an expander to display example questions on separate lines. | |
| with st.expander("👋 Hi, allow me to help you with prompts:"): | |
| st.write("💡 Provide analysis for data entry 1 in the dataset") | |
| st.write("💡 What is the dataset summary?") | |
| st.write("💡 or just ask me something of your own, I'll be happy to help 😊") | |
| # Text area for user input. | |
| user_prompt = st.text_area("Ask me something:") | |
| if st.button("Get Response"): | |
| # Check if user has entered text | |
| if not user_prompt.strip(): | |
| st.warning("⚠️ Please enter a question or text for analysis.") | |
| else: | |
| ai_response, sentiment_label, sentiment_confidence, topic_label, topic_confidence = chatbot_response(user_prompt) | |
| if ai_response: | |
| st.write("### Response:") | |
| st.markdown(ai_response) | |
| st.write("### Sentiment Analysis:") | |
| st.write(f"**Sentiment Detected:** {sentiment_label} ({sentiment_confidence * 100:.2f}% confidence)") | |
| st.write("### Category Extraction:") | |
| st.write(f"**Category Detected:** {topic_label} ({topic_confidence * 100:.2f}% confidence)") | |
| else: | |
| st.warning("⚠️ Unable to generate a response. Please try again.") | |