The error you’re encountering indicates that there is no API key provided for the OpenAI library. You should set your OpenAI API key either directly in your code or through an environment variable.
Here’s how you can set your API key in your code:
import openai
import os
# Set your OpenAI API key
openai.api_key = os.environ['your_api_key_here'] # Replace 'your_api_key_here' with your actual API key that you take from the OpenAI Platform
# Rest of your code...
Below I am attaching the complete code for the Dall-E project for your reference
import openai
import os
from flask import Flask, render_template_string, request
openai.api_key = os.environ['OPENAI_API_KEY']
def generate_tutorial(components):
response = openai.Image.create(prompt=components,
model="image-alpha-001",
size="1024x1024",
response_format="url")
image_url = response["data"][0]["url"]
return image_url
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def hello():
output = ""
if request.method == 'POST':
components = request.form['components']
output = generate_tutorial(components)
return render_template_string('''
<!DOCTYPE html>
<html>
<head>
<title>Infinite Image Generator</title>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css" rel="stylesheet">
<style>
body {
display: flex;
justify-content: center;
align-items: center;
height: 100vh;
background-color: #f5f5f5;
}
.container {
background-color: #ffffff;
border-radius: 10px;
padding: 20px;
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
}
h1 {
color: #333333;
}
.form-control {
background-color: #f8f8f8;
border: 1px solid #dddddd;
color: #333333;
}
.btn-primary {
background-color: #89c2d9;
border-color: #89c2d9;
}
.btn-primary:hover {
background-color: #a3d1e0;
border-color: #a3d1e0;
}
.btn-secondary {
background-color: #b0b0b0;
border-color: #b0b0b0;
}
.btn-secondary:hover {
background-color: #c2c2c2;
border-color: #c2c2c2;
}
.card {
background-color: #f8f8f8;
border: none;
}
#output {
display: block;
margin-bottom: 20px;
text-align: center;
}
#myImage {
width: 256px;
height: 256px;
display: block;
margin: 0 auto;
}
</style>
<script>
async function generateTutorial() {
const components = document.querySelector('#components').value;
const output = document.querySelector('#output');
const imgElement = document.getElementById('myImage');
const response = await fetch('/generate', {
method: 'POST',
body: new FormData(document.querySelector('#tutorial-form'))
});
const imageUrl = await response.text();
imgElement.src = imageUrl;
output.textContent = 'Generating an image for you...';
}
function copyToClipboard() {
const imgElement = document.getElementById('myImage');
const imageUrl = imgElement.src;
const textarea = document.createElement('textarea');
textarea.value = imageUrl;
document.body.appendChild(textarea);
textarea.select();
document.execCommand('copy');
document.body.removeChild(textarea);
alert('Copied to clipboard');
}
</script>
</head>
<body>
<div class="container">
<h1 class="my-4">Custom Image Generator</h1>
<form id="tutorial-form" onsubmit="event.preventDefault(); generateTutorial();" class="mb-3">
<div class="mb-3">
<label for="components" class="form-label">Textual Description of the Image:</label>
<input type="text" class="form-control" id="components" name="components" placeholder="Enter the Description (Ex: A Lion in a Cage)" required>
</div>
<button type="submit" class="btn btn-primary">Share with the Image</button>
</form>
<div class="card">
<div class="card-header d-flex justify-content-between align-items-center">
Output:
<button class="btn btn-secondary btn-sm" onclick="copyToClipboard()">Copy</button>
</div>
<div class="card-body">
<p id="output" style="white-space: pre-wrap;">Generating an image for you...</p>
<img id="myImage" src="">
</div>
</div>
</div>
</body>
</html>
''',
output=output)
@app.route('/generate', methods=['POST'])
def generate():
components = request.form['components']
return generate_tutorial(components)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8080)
I was expecting the generation of an image after making my Dall E Project but its not giving any image. The webpage is opened but the image is not generated.
import openai
import os
from flask import Flask, render_template_string, request
openai.api_key = os.environ[‘OPENAI_API_KEY’]
def generate_tutorial(components):
response = openai.Image.create(prompt=components,
model=“image-alpha-001”,
size=“1024x1024”,
response_format=“url”)
image_url = response[“data”][0][“url”]
return image_url
app = Flask(name)
@app.route(‘/’, methods=[‘GET’, ‘POST’])
def hello():
output = “”
if request.method == ‘POST’:
components = request.form[‘components’]
output = generate_tutorial(components)
return render_template_string(‘’’
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css"
rel="stylesheet">
Custom Image Generator
Generating an image for you...
In the code in line 4 you will have to replace the word OPENAI_API_KEY with your API key that you take from the OpenAI account.
openai.api_key = os.environ['add_your_API_Key_here']
Replace this and try to run the code and it should work as expected.
Let me know if you are still facing an issue.
this error has occurred since you might not have provided the api key. You can create one from https://platform.openai.com/api-keys , after creating an openai account. Please copy the api key at the time of creation and save it at some secure place for later usage, otherwise you won’t be able to view it later. Since providing api key directly in the code might expose it publicly, thus we can use the key management feature provided by replit and store it in ‘Secrets’(you can search for this in tools and will find this icon). also you need to use the following syntax,
openai.api_key = os.environ[‘add_your_API_Key_here’]
import the openai header file too beforehand.
already provided key then also facing issue.
If you are working on Replit.com then store your API key in the secrets under tools section and keep this line
openai.api_key = os.environ['OPENAI_API_KEY'] as it is
If you still find issues ,please share screenshots of the error and code so that we can solve it.