Emotion AI – Sentiment Analysis Chatbot

A chat-based sentiment analysis application built using Streamlit, providing real‑time emotional analysis and a clean conversation UI.

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🚀 How to Run the Project

Follow these steps to run the Emotion AI Chatbot on your local machine:

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1️⃣ Clone the Repository

git clone https://github.com/abhinavyy/sentiment_chat.git

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2️⃣ Create a Virtual Environment (Recommended)

💻 Windows:

python -m venv venv
venv\Scripts\activate

🍏 macOS/Linux:

python3 -m venv venv
source venv/bin/activate

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3️⃣ Install Dependencies

Make sure your requirements.txt is inside the project.

pip install -r requirements.txt

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4️⃣ Navigate to the web_page Folder

cd web_page

5️⃣ Run the Streamlit App

streamlit run app.py  # Start the Streamlit server

Streamlit will open automatically in your browser (usually at):

http://localhost:8501/

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🧠 Project Structure

web_page
|  │── app.py
|  │── chatbot.py
|  │──conversation.py
|  │──sentiment_analyzer.py
|
│──data
│── assets
│── requirements.txt

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📌 Features

✔ Clean chat interface ✔ Message‑level sentiment badges ✔ Emotion trend graph ✔ Positive/negative/neutral counters

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🤖 Commands Summary

Task	Command
Activate venv (Windows)	venv\Scripts\activate
Activate venv (Mac/Linux)	source venv/bin/activate
Install dependencies	pip install -r requirements.txt
Run Streamlit app	streamlit run app.py

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📝 Notes

• Ensure you have Python 3.9+ installed.
• Install missing packages manually if needed.
• If Streamlit doesn't auto-open, open the URL manually.

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