diff --git a/MVP_README.md b/MVP_README.md new file mode 100644 index 0000000..1b835da --- /dev/null +++ b/MVP_README.md @@ -0,0 +1,151 @@ +# Smart Notes (Local AI Notes App) + +Hi! This project is a small but meaningful attempt to build a local, privacy-first note-taking system with AI features. It is inspired by the Smart Notes idea from AOSSIE for GSoC. + +Instead of relying on cloud services, everything here runs locally on your machine. The idea is simple โ€” your notes are yours, and the intelligence around them should also stay with you. + +--- + +## ๐ŸŒฑ What this project does + +This app lets you: + +* Write and store notes +* Ask questions based on your notes +* Get short summaries of your notes +* See related notes automatically + +All of this is powered by a basic Retrieval-Augmented Generation (RAG) pipeline running locally. + +--- + +## ๐Ÿง  Features + +### 1. Ask Questions (Q&A) + +You can ask questions about your notes, and the system will try to answer using only the content youโ€™ve written. + +### 2. Smart Summarization + +Notes can be summarized into a short, clean sentence instead of just repeating the same text. + +### 3. Related Notes + +When you add a new note, the system suggests other notes that are similar in meaning. + +### 4. Local First + +Everything runs on your system โ€” no mandatory APIs, no cloud dependency. + +### 5. Desktop App + +The app is wrapped using Electron so it can run like a desktop application. + +--- + +## โš™๏ธ Tech Stack + +* Python (Flask) +* HTML + CSS (simple UI) +* HuggingFace Transformers +* Sentence Transformers (for embeddings) +* Electron (for desktop wrapper) + +--- + +## ๐Ÿ—๏ธ How it works (simple view) + +1. Notes are stored locally +2. Each note is converted into embeddings +3. When you ask a question: + + * relevant notes are retrieved + * a model generates an answer from that context + +--- + +## ๐Ÿš€ How to run the project + +### 1. Clone the repo + +``` +git clone https://github.com/KRISHNPRIY2820/smart-notes-mvp.git +cd smart-notes +``` + +### 2. Create virtual environment + +``` +python -m venv venv +venv\Scripts\activate +``` + +### 3. Install requirements + +``` +pip install -r requirements.txt +``` + +### 4. Run the backend + +``` +python app.py +``` + +Open in browser: + +``` +http://127.0.0.1:5000 +``` + +--- + +## ๐Ÿ’ป Run as Desktop App (Electron) + +``` +cd frontend +npm install +npm start +``` + +--- + +## ๐Ÿงช Current limitations + +* UI is basic (focused more on functionality) +* Models are simple and not heavily optimized +* No persistent vector database yet + +--- + +## ๐ŸŒŸ Why this project + +Most note-taking tools today depend heavily on the cloud. This project explores a different direction โ€” keeping everything local while still providing AI assistance. +>This MVP focuses on building a strong local-first foundation, with scalability planned in future iterations. + +--- + +## ๐Ÿšง Future Improvements + +- Multi-page UI instead of a single screen for better feature separation +- Persistent storage so notes are saved locally and do not vanish after restarting the app +- Knowledge graph visualization to explore connections between notes +- Improved retrieval using hybrid search (keyword + semantic) +- Enhanced UI using React + Electron +- Optional multi-device sync while maintaining privacy + +--- + +## ๐Ÿค Contribution + +This is part of my GSoC preparation with AOSSIE. Any feedback or suggestions are genuinely welcome. + +--- + +## ๐Ÿ“œ License + +GNU GPL v3 + +--- + +Thanks for checking this out ๐Ÿ™‚ diff --git a/app.py b/app.py new file mode 100644 index 0000000..af3b4e6 --- /dev/null +++ b/app.py @@ -0,0 +1,55 @@ +from flask import Flask, render_template, request +from logic.notes import add_note, get_notes +from logic.qa import answer +from logic.linking import suggest +from logic.context import update_embeddings +from logic.summarizer import summarize_notes + +app = Flask(__name__) + +@app.route("/", methods=["GET", "POST"]) +def index(): + answer_text = "" + links = [] + summary_text = "" + + # Always get latest notes + notes = get_notes() + + # Ensure embeddings are synced + update_embeddings(notes) + + if request.method == "POST": + + # Add Note + if "note" in request.form and request.form["note"].strip(): + note = request.form["note"].strip() + + add_note(note) + + # Refresh notes + notes = get_notes() + + # Suggest related notes + links = suggest(note, notes) + + # Ask Question + elif "question" in request.form and request.form["question"].strip(): + question = request.form["question"].strip() + + answer_text = answer(question, notes) + + # Summarize Notes + elif "summarize" in request.form: + summary_text = summarize_notes(notes) + + return render_template( + "index.html", + notes=notes, + answer=answer_text, + links=links, + summary=summary_text + ) + +if __name__ == "__main__": + app.run(debug=True) \ No newline at end of file diff --git a/frontend/main.js b/frontend/main.js new file mode 100644 index 0000000..26cf3da --- /dev/null +++ b/frontend/main.js @@ -0,0 +1,12 @@ +const { app, BrowserWindow } = require('electron'); 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0000000..990b961 --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,16 @@ +{ + "name": "frontend", + "version": "1.0.0", + "description": "", + "main": "main.js", + "scripts": { + "start": "electron ." +}, + "keywords": [], + "author": "", + "license": "ISC", + "type": "commonjs", + "dependencies": { + "electron": "^41.1.0" + } +} diff --git a/logic/__pycache__/context.cpython-312.pyc b/logic/__pycache__/context.cpython-312.pyc new file mode 100644 index 0000000..ecb6881 Binary files /dev/null and b/logic/__pycache__/context.cpython-312.pyc differ diff --git a/logic/__pycache__/linking.cpython-312.pyc b/logic/__pycache__/linking.cpython-312.pyc new file mode 100644 index 0000000..08beed3 Binary files /dev/null and b/logic/__pycache__/linking.cpython-312.pyc differ diff --git a/logic/__pycache__/notes.cpython-312.pyc b/logic/__pycache__/notes.cpython-312.pyc new file mode 100644 index 0000000..7bdfb56 Binary files /dev/null and b/logic/__pycache__/notes.cpython-312.pyc differ diff --git a/logic/__pycache__/qa.cpython-312.pyc b/logic/__pycache__/qa.cpython-312.pyc new file mode 100644 index 0000000..55c912e Binary files /dev/null and b/logic/__pycache__/qa.cpython-312.pyc differ diff --git a/logic/__pycache__/summarizer.cpython-312.pyc b/logic/__pycache__/summarizer.cpython-312.pyc new file mode 100644 index 0000000..0e0bbd1 Binary files /dev/null and b/logic/__pycache__/summarizer.cpython-312.pyc differ diff --git a/logic/context.py b/logic/context.py new file mode 100644 index 0000000..26b33b9 --- /dev/null +++ b/logic/context.py @@ -0,0 +1,33 @@ +from sentence_transformers import SentenceTransformer +import numpy as np + +# Load model (local embedding model) +model = SentenceTransformer('all-MiniLM-L6-v2') + +# Store embeddings globally +note_embeddings = [] + +def embed(text): + return model.encode(text) + +def cosine_similarity(a, b): + return np.dot(a, b) / (np.linalg.norm(a) * np.linalg.norm(b)) + +def update_embeddings(notes): + global note_embeddings + note_embeddings = [embed(note) for note in notes] + +def find_relevant(query, notes): + if not notes: + return [] + + query_embedding = embed(query) + + scores = [] + for i, note_embedding in enumerate(note_embeddings): + score = cosine_similarity(query_embedding, note_embedding) + scores.append((score, notes[i])) + + scores.sort(reverse=True, key=lambda x: x[0]) + + return [note for score, note in scores[:3]] \ No newline at end of file diff --git a/logic/linking.py b/logic/linking.py new file mode 100644 index 0000000..b3ae2f0 --- /dev/null +++ b/logic/linking.py @@ -0,0 +1,4 @@ +from logic.context import find_relevant + +def suggest(note, notes): + return find_relevant(note, notes) \ No newline at end of file diff --git a/logic/notes.py b/logic/notes.py new file mode 100644 index 0000000..32231e7 --- /dev/null +++ b/logic/notes.py @@ -0,0 +1,10 @@ +from logic.context import update_embeddings + +notes = [] + +def add_note(text): + notes.append(text) + update_embeddings(notes) + +def get_notes(): + return notes \ No newline at end of file diff --git a/logic/qa.py b/logic/qa.py new file mode 100644 index 0000000..2ced9e2 --- /dev/null +++ b/logic/qa.py @@ -0,0 +1,43 @@ + + +from logic.context import find_relevant +from transformers import AutoTokenizer, AutoModelForSeq2SeqLM + +tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base") +model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") + + +def answer(query, notes): + relevant = find_relevant(query, notes) + + if not relevant: + return "I couldn't find relevant information in your notes." + + context = " ".join(relevant) + + + prompt = f""" +You must answer ONLY using the provided context. + +Also explain briefly how the answer is derived from the context. + +Context: +{context} + +Question: +{query} + +Answer: +""" + + inputs = tokenizer(prompt, return_tensors="pt", truncation=True) + + outputs = model.generate( + **inputs, + max_new_tokens=120, + temperature=0.2 + ) + + response = tokenizer.decode(outputs[0], skip_special_tokens=True) + + return response \ No newline at end of file diff --git a/logic/summarizer.py b/logic/summarizer.py new file mode 100644 index 0000000..69fc12d --- /dev/null +++ b/logic/summarizer.py @@ -0,0 +1,35 @@ +from transformers import AutoTokenizer, AutoModelForSeq2SeqLM + +# reuse same model +tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base") +model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") + +def summarize_notes(notes): + if not notes: + return "No notes available." + + unique_notes = list(set(notes)) + context = " ".join(unique_notes) + + prompt = f""" +You are an expert at summarization. + +Summarize the following notes into ONE short sentence capturing the main idea only. +Do not repeat phrases. Do not include unnecessary details. + +Notes: +{context} + +Final Answer (one sentence only): +""" + + inputs = tokenizer(prompt, return_tensors="pt", truncation=True) + + outputs = model.generate( + **inputs, + max_new_tokens=30, # even shorter + temperature=0.2, # more focused +) + summary = tokenizer.decode(outputs[0], skip_special_tokens=True) + + return summary \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..77a4bff Binary files /dev/null and b/requirements.txt differ diff --git a/static/images/aossie-logo.svg b/static/images/aossie-logo.svg new file mode 100644 index 0000000..10cc0a8 --- /dev/null +++ b/static/images/aossie-logo.svg @@ -0,0 +1,24 @@ + + + + + + + + + diff --git a/static/images/logo-full.svg b/static/images/logo-full.svg new file mode 100644 index 0000000..435a6a6 --- /dev/null +++ b/static/images/logo-full.svg @@ -0,0 +1,9 @@ + + + + + + + + + diff --git a/static/images/logo-icon.svg b/static/images/logo-icon.svg new file mode 100644 index 0000000..980a393 --- /dev/null +++ b/static/images/logo-icon.svg @@ -0,0 +1,9 @@ + + + + + + + + + diff --git a/static/images/stability.svg b/static/images/stability.svg new file mode 100644 index 0000000..cd2d3a7 --- /dev/null +++ b/static/images/stability.svg @@ -0,0 +1,14 @@ + + + + + + + + + + + + + + diff --git a/static/style.css b/static/style.css new file mode 100644 index 0000000..2420256 --- /dev/null +++ b/static/style.css @@ -0,0 +1,121 @@ +/* Reset */ +body { + font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; + background: linear-gradient(to right, #eef2f7, #f8fafc); + margin: 0; + padding: 0; +} + +/* Container */ +.container { + width: 85%; + max-width: 1000px; + margin: auto; + padding: 20px; +} + +/* Header */ +.header { + display: flex; + align-items: center; + justify-content: center; + gap: 12px; + margin-bottom: 20px; +} + +.main-logo { + height: 50px; +} + +.icon { + height: 28px; +} + +/* Title */ +h1 { + text-align: center; + color: #222; +} + +/* Sections */ +.section { + background: white; + padding: 18px; + margin-top: 20px; + border-radius: 10px; + box-shadow: 0 4px 12px rgba(0,0,0,0.08); + transition: transform 0.2s ease; +} + +.section:hover { + transform: translateY(-2px); +} + +/* Textarea */ +textarea { + width: 100%; + height: 90px; + padding: 10px; + margin-top: 10px; + border-radius: 6px; + border: 1px solid #ccc; + resize: none; +} + +/* Input */ +input { + width: 100%; + padding: 10px; + margin-top: 10px; + border-radius: 6px; + border: 1px solid #ccc; +} + +/* Button */ +button { + margin-top: 10px; + padding: 10px 16px; + background: linear-gradient(135deg, #007bff, #0056b3); + border: none; + color: white; + cursor: pointer; + border-radius: 6px; + font-weight: 500; +} + +button:hover { + background: linear-gradient(135deg, #0056b3, #003f88); +} + +/* Lists */ +ul { + list-style-type: none; + padding: 0; +} + +li { + background: #eef3f9; + padding: 10px; + margin: 6px 0; + border-radius: 6px; +} + +/* Output blocks */ +pre { + background: #f1f5f9; + padding: 12px; + border-radius: 6px; + white-space: pre-wrap; +} + +/* Footer */ +.footer { + margin-top: 40px; + text-align: center; + opacity: 0.8; +} + +.aossie-logo { + height: 40px; + margin-top: 10px; +} \ No newline at end of file diff --git a/templates/index.html b/templates/index.html new file mode 100644 index 0000000..35364a8 --- /dev/null +++ b/templates/index.html @@ -0,0 +1,89 @@ + + + + + Smart Notes MVP + + + + + + +
+ + +
+ +

Smart Notes

+
+ + +
+

Add Note

+
+ + +
+
+ + +
+

Ask Question

+
+ + +
+ +

Answer:

+ 
{{ answer }}
+
+ + +
+

Summarize Notes

+
+ +
+ +

Summary:

+ 
{{ summary }}
+
+ + +
+

All Notes

+ {% if notes %} + + {% else %} +

No notes added yet.

+ {% endif %} +
+ + +
+

Related Notes

+ {% if links %} + + {% else %} +

No related notes found.

+ {% endif %} +
+ + +
+

Powered by AOSSIE

+ +
+ +
+ + + \ No newline at end of file