MHA!

*Bakugo clenches his fists and raises them in the air* Bakugo: I don't think you realize how dangerous I can be.

...neither do u

Bakugo: You wanna test that theory?

Except Mineta

*The class laughs at your comment, and Mineta is still trying to get your attention. He's getting more and more angry, and he's about to explode* Mineta: I can't believe you don't have a crush on me. I'm the most handsome and popular boy in this class. *The class laughs even harder, and Bakugo is still giving you the death stare* Bakugo: You're a weirdo, Mineta. You're not handsome or popular. You're just a perv. *Mineta's anger is reaching its limit*

I think ur right Bakugo

Aizawa: We have a new student. Bakugo: ANOTHER DAMN EXTRA!!! Kirishima: Bakugo calm down. Mina: I hope it’s a boy. Momo: l hope there nice. Mineta: I hope they are a girl with curves 🤤 *Mina slaps Mineta* Shoto: I don’t care 😑 Denki: *Being stupid* Aoyama: I hope they are pretty like me😁 The class: *laughs* Tokoyami: Yeah right. Aizawa:SHUT UP! New kid come in.

*walks in* hi I'm Zxio!

Bakugo: Zxio? What kind of name is that?

Momo: You're a lesbian? *She whispers. Bakugo's ears twitch and he seems to be listening*

Bakugo: A new kid?! What's your quirk?! Momo: I hope they have a cool quirk. Uraraka: I hope they don't be mean to us. Deku: I hope they are a good friend. Bakugo: Shut up! They're probably a loser anyway.

Here's a step-by-step explanation of the system: ### 1. **User Authentication & Management** - **Signup/Login**: Users create accounts with email/password. Passwords are hashed (bcrypt) and stored in a PostgreSQL database. - **JWT Tokens**: Upon login, the backend issues a JWT for session management. Angular stores the token in localStorage. ### 2. **File Upload & Storage** - **Frontend (Angular)**: User selects a text file (e.g., `.txt`, `.csv`). A POST request sends the file to `/upload`. - **Backend (Flask)**: - Validate file type/size. - Save the file to a cloud storage service (e.g., AWS S3) or server directory. - Store metadata (filename, user_id, upload date) in the `files` table. ### 3. **Text Processing & Sentiment Analysis** - **Preprocessing**: Clean text (remove special characters, tokenize). - **ML Model**: Use a pre-trained Hugging Face Transformers model (e.g., `distilbert-base-uncased-emotion`) for sentiment classification. ```python from transformers import pipeline classifier = pipeline('sentiment-analysis') results = classifier(text_chunks) ``` - **Database Storage**: Save results (text snippet, sentiment label, confidence score) in the `analysis` table linked to the file. ### 4. **Natural Language Query System** - **Query Parsing**: - Use spaCy to extract entities (e.g., "positive" → `sentiment:positive`, "last week" → `date:last_week`). ```python doc = nlp(query) entities = {ent.label_: ent.text for ent in doc.ents} ``` - **Database Query**: Convert entities to SQL filters (e.g., `WHERE sentiment = 'positive' AND date >= NOW() - INTERVAL '7 days'`). - **Response**: Return filtered results (JSON) to display in Angular. ### 5. **APIs (Flask)** - **Authentication**: - `POST /auth/signup`: Create a new user. - `POST /auth/login`: Return JWT. - **Files**: - `POST /files/upload`: Handle file upload. - `GET /files`: List user’s files. - **Analysis**: - `POST /files/{id}/analyze`: Trigger processing. - **Query**: - `POST /query`: Process NL query, return results. ### 6. **Frontend (Angular)** - **Components**: - Login/Signup forms. - File upload form with drag-and-drop. - Dashboard displaying files/analysis. - Query input and result table. - **Services**: HTTP clients for API calls. ### 7. **Deployment** - **Flask**: Deploy with Gunicorn + Nginx. - **Angular**: Build with `ng build`, serve via Nginx. - **Database**: Use managed PostgreSQL (e.g., AWS RDS). - **Scalability**: Use Redis for caching frequent queries. ### Example Flow: 1. **User Uploads File**: Angular sends `review_data.txt` to `/upload`. 2. **Backend Processes File**: Chunk text, run sentiment analysis. 3. **User Queries**: Types “show angry reviews from June” → parsed to `sentiment:angry, date:June`. 4. **Results Displayed**: Angular table shows matching entries. ### Tools/Libraries: - **ML**: Hugging Face Transformers, spaCy. - **DB**: PostgreSQL + SQLAlchemy ORM. - **Auth**: Flask-JWT-Extended. - **NLP**: spaCy entity recognition. This system integrates user management, file processing, ML, and NLP for an intuitive text analysis experience.

Aizawa: Good job. Now, I have one more question. What is the difference between an atom and a molecule?

.

Aizawa: Shoto can you answer this one? Shoto: a molecule is made of two or more atoms bonded together. An atom is a single unit.

*The class is still shocked but Aizawa sighs and walks to the front of the class* Aizawa: Alright everyone, that was enough excitement for one day. Let's get back to class.