fix: edited README.md and created requirements.txt

README.md

-# cs725-project
+# CS-725 Project
 
+## Overview
+The EmoMusic Recommender is an innovative application that combines text and facial emotion analysis to suggest personalized music recommendations.
+
+
+## Team Members
+
+- **Udhay Brahmi**
+  - Responsibilities: Implementing CNN model
+  - GitHub: [GitHub Profile](https://github.com/udhaybrahmi)
+
+- **Jay Gorakhiya**
+  - Responsibilities: Implementing Text-Based model and Database
+  - GitHub: [GitHub Profile](https://github.com/jaygorakhiya)
+
+- **Utsav Manani**
+  - Responsibilities: Streamlit Design and Implementation, GitHub
+  - GitHub: [GitHub Profile](https://github.com/utsavmanani)
+
+- **Vinit Patel**
+  - Responsibilities: Streamlit Implementation and Presentation
+  - GitHub: [GitHub Profile](https://github.com/vinitpatel-007)
+
+- **Aditya Kansara**
+  - Responsibilities: UI and Model integration with Database
+  - GitHub: [GitHub Profile](https://github.com/adityakansara)
+
+## Work Split
+
+Briefly outline the distribution of tasks among team members.
+
+- **Udhay Brahmi**
+  - Completed implementation of the CNN model.
+
+- **Jay Gorakhiya**
+  - Implemented the Text-Based model.
+  - Set up and managed the database.
+
+- **Utsav Manani**
+  - Designed and implemented the Streamlit interface.
+  - Contributed to GitHub repository management.
+
+- **Vinit Patel**
+  - Implemented Streamlit features.
+  - Prepared and delivered project presentations.
+
+- **Aditya Kansara**
+  - Integrated UI with the model.
+  - Ensured smooth integration with the database.
+
+## Instructions for Running the Project
+
+1. **Install Dependencies:**
+   - Open a terminal and navigate to the project directory.
+   - Run the following command to install the required dependencies:
+
+     ```bash
+     pip install -r requirements.txt
+     ```
+
+2. **Run the Streamlit App:**
+   - After installing the dependencies, run the Streamlit app using the following command:
+
+     ```bash
+     streamlit run app.py
+     ```
+
+3. **Text and Face Emotion Detection:**
+   - Once the app is running, open the provided URL in your web browser.
+   - Enter text in the designated input field and press the "Submit" button.
+   - The app will scan the user's face and detect emotions based on both text and facial expressions.
+
+4. **Music Suggestion:**
+   - After emotion detection, the app will suggest music based on the detected emotion.
+
+**Note:** Make sure to have a webcam connected for face detection.

requirements.txt

+opencv-python==4.8.1.78
+pandas==2.1.3
+numpy==1.26.2
+streamlit==1.28.2
+sqlite==3.35.2
+textblob==0.70.1
+tensorflow==2.14.0