Update main.py

main.py

@@ -1,39 +1,15 @@
-from flask import Flask, jsonify, render_template, request, make_response
-import requests
-import transformers
-from huggingface_hub import cached_download
-import torch
-from torch import nn
-import re
-import numpy as np
-import pandas as pd
-from collections import OrderedDict
-import os
-# import requests
-# from bs4 import BeautifulSoup
+from flask import Flask, jsonify
+import asyncio
 
 app = Flask(__name__)
 
+# Example async route using asyncio.sleep
+@app.route('/async-task')
+async def async_task():
+    await asyncio.sleep(2)  # Simulate async task
+    return jsonify({"message": "Async task completed!"})
 
-
-os.environ['TRANSFORMERS_CACHE'] = '/.cache/huggingface/hub'
-
-# api_key = os.getenv('API_KEY')
-# api_url = os.getenv('API_URL')
-
-headers = {"Authorization": f"Bearer token"}
-API_URL = "https://api-inference.huggingface.co/models/ProsusAI/finbert"
-def query(payload):
-    response = requests.post(API_URL, headers=headers, json=payload)
-    return response.json()
-
-
-@app.route("/", methods=["GET", "POST"])
-def index():
-    user_input = None
-    response = None
-    if request.method == "POST":
-        user_input = request.form.get("user_input")
-        response = query({"inputs": user_input})
-    return render_template("home.html", user_input=user_input, response=response)
+@app.route('/')
+def home():
+    return jsonify({"message": "Welcome to my Flask API!"})