hacks power

Pravin Kumar P — Sat, 03 Oct 2026 18:39:35 +0000

from fastapi import FastAPI, UploadFile, File
from fastapi.responses import HTMLResponse
import ollama
import chromadb
from faster_whisper import WhisperModel
import os
import uuid

app = FastAPI()

UPLOAD_DIR = "uploads"
os.makedirs(UPLOAD_DIR, exist_ok=True)

Local embedding database

client = chromadb.PersistentClient(path="./memory.db")

collection = client.get_or_create_collection(
name="memories"
)

Local speech-to-text model

whisper = WhisperModel(
"base",
device="cpu",
compute_type="int8"
)

def ask_ai(prompt):
response = ollama.chat(
model="qwen3:4b",
messages=[
{
"role": "system",
"content": """
You are OpenMemo, a private personal memory assistant.
Use only the information provided by the user.
Do not invent memories.
Be concise and helpful.
"""
},
{
"role": "user",
"content": prompt
}
]
)

return response["message"]["content"]

@app.post("/upload")
async def upload(file: UploadFile = File(...)):

file_id = str(uuid.uuid4())
path = f"{UPLOAD_DIR}/{file_id}_{file.filename}"

with open(path, "wb") as f:
    f.write(await file.read())

segments, info = whisper.transcribe(path)

text = " ".join(
    segment.text for segment in segments
)

collection.add(
    documents=[text],
    ids=[file_id],
    metadatas=[
        {
            "filename": file.filename
        }
    ]
)

return {
    "success": True,
    "transcription": text
}

@app.get("/ask")
def ask(question: str):

results = collection.query(
    query_texts=[question],
    n_results=5
)

memories = "\n".join(
    results["documents"][0]
)

answer = ask_ai(
    f"""

Relevant memories:

{memories}

Question:

{question}

Answer using only the relevant memories.
"""
)

return {
    "answer": answer,
    "memories": results["documents"][0]
}

@app.get("/")
def home():

return HTMLResponse("""

<!DOCTYPE html>

OpenMemo

<style>
    body {
        font-family: Arial;
        max-width: 800px;
        margin: 50px auto;
        padding: 20px;
        background: #f5f5f5;
    }

    .card {
        background: white;
        padding: 25px;
        border-radius: 15px;
        margin-bottom: 20px;
    }

    button {
        padding: 12px 20px;
        border: none;
        border-radius: 8px;
        cursor: pointer;
    }

    input {
        padding: 12px;
        width: 70%;
    }

    #answer {
        margin-top: 20px;
        white-space: pre-wrap;
    }
</style>

🧠 OpenMemo

Add a memory

Upload

Ask your memories

Ask AI

async function upload() {

const file =
    document.getElementById("audio").files[0];

if (!file) {
    alert("Choose an audio file first.");
    return;
}

const form = new FormData();

form.append("file", file);

const response =
    await fetch("/upload", {
        method: "POST",
        body: form
    });

const data = await response.json();

document.getElementById("result").innerText =
    "Saved memory:\\n" + data.transcription;

}

async function ask() {

const question =
    document.getElementById("question").value;

const response =
    await fetch(
        "/ask?question=" +
        encodeURIComponent(question)
    );

const data = await response.json();

document.getElementById("answer").innerText =
    data.answer;

}

""")

HACKS POWER

Pravin Kumar P — Sat, 03 Oct 2026 18:34:57 +0000

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend

DEV Community: Pravin Kumar P

hacks power

Local embedding database

Local speech-to-text model

🧠 OpenMemo

Add a memory

Ask your memories

HACKS POWER

What I Built

Demo

Code

How I Built It

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