Skip to main content

style.css not working while using flask python

When I try to run my app.py which starts a local url to run my html file the style.css does not work. It was working before i connected my script.js to it. clearing cache does not seem to work

my files director location is like this:

app.py(flask)
templates
--index.html
static
--script.js
--style.css

my html code is:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link rel="stylesheet" href="">
    <title>Interactive Page</title>
</head>
<body>
    <div class="input-box">
        <input type="text" id="user-input" placeholder="Enter your input...">
        <button id="submit-button">Submit</button>
    </div>
    <div class="chat-box" id="chat-box">
        <!-- Chat messages will be displayed here -->
    </div>
    <script src=""></script>
</body>
</html>

my app.py code is:

from flask import Flask, render_template, request, jsonify
from Bot import chat_bot#this is where I am getting the output to display on the site
app = Flask(__name__)

@app.route("/")
def index():
    return render_template("index.html")

@app.route("/process_input", methods=["POST"])
def process_input():
    data = request.get_json()
    user_input = data["input"]

    # Process the input (replace with your actual processing logic)
    processed_result = chat_bot("AI",user_input)

    return jsonify({"response": processed_result})

def process_data(input_data):
    # Replace this with your actual processing logic
    processed_result = f"You entered: {input_data}"
    return processed_result

if __name__ == "__main__":
    app.config["SEND_FILE_MAX_AGE_DEFAULT"] = 0
    app.run(host="0.0.0.0", port=5000)
    

I was expecting for the code to have styles. If more details are needed, please inform me as I am willing to give them.



source https://stackoverflow.com/questions/76924261/style-css-not-working-while-using-flask-python

Comments

Popular posts from this blog

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...