app.py

import sqlite3, json, os
from flask import Flask, request, jsonify
from huggingface_hub import hf_hub_download

app = Flask(__name__)

# download db once
DB_PATH = hf_hub_download(
    repo_id="Bruhletme/Teligram",
    filename="new.db",
    repo_type="dataset",
    token=os.environ.get("HF_TOKEN")
)

conn = sqlite3.connect(DB_PATH, check_same_thread=False)
conn.row_factory = sqlite3.Row
cur = conn.cursor()

def fix(v):
    if v is None: return None
    try:
        return v.encode('latin1').decode('utf-8')
    except:
        return v

@app.route("/tg")
def tg():
    q = (request.args.get("id") or "").strip()
    if not q.isdigit():
        return jsonify({"error":"invalid"}), 400

    cur.execute("SELECT id,phone,username,first_name,last_name FROM users WHERE id=? LIMIT 5",(q,))
    rows = cur.fetchall()

    if not rows:
        return jsonify({"found":False})

    data=[]
    for r in rows:
        d=dict(r)
        for k in d:
            d[k]=fix(d[k])
        data.append(d)

    return jsonify({"found":True,"count":len(data),"results":data})

app.run(host="0.0.0.0", port=7860)