Upload folder using huggingface_hub

Dockerfile

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+FROM python:3.10
+WORKDIR /app
+COPY . .
+RUN pip install -r requirements.txt
+CMD ["python","app.py"]

app.py

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+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)

requirements.txt

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+flask
+huggingface_hub