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AI Prompt Generator on Flask
This video demonstrates how to use the AI Prompt Generator on Flask template.
from flask import Flask, request, render_template, jsonify
import os
from abilities import llm_prompt
app = Flask(__name__)
@app.route("/")
def root_route():
app.logger.info("Serving the root route.")
return render_template('prompt_form.html')
@app.route("/generate", methods=["POST"])
def generate_prompt():
app.logger.info("Received request to generate prompt.")
data = request.json
prompt_type = data['promptType']
prompt_details = data['promptDetails']
app.logger.info(f"Prompt type: {prompt_type}, Details: {prompt_details}")
# Example prompt to LLM
prompt = f"Generate a {prompt_type} app prompt tailored specifically to the user-provided idea: {prompt_details}. The generated prompt must be structured to provide clear instructions for developing the app, covering various aspects such as architecture, features, technologies, and user experience requirements in detail. Specify all desired functionality, including any necessary API integrations or external dependencies that the app may require. Emphasize the critical importance of avoiding the use of #TODO comments within the codebase, ensuring that all features are fully implemented before submission. Additionally, instruct the system to securely configure environment variables to handle any sensitive data or API keys essential for the app's functionality. Detailed documentation on the setup and usage of these environment variables must be included to facilitate seamless development. The prompt should serve as a comprehensive guide, leaving no ambiguity or room for incomplete tasks during the app development process. Ensure that the format of the prompt follows a clear and concise structure, facilitating easy comprehension and implementation by the AI generating the code. Don't add any unuseful words that imply like appreciation, condolences etc. Try to write the text as plain as you can write."
generated_prompt = llm_prompt(prompt)
app.logger.info(f"Generated prompt: {generated_prompt}")
if generated_prompt:Frequently Asked Questions
How can businesses benefit from using this Prompt Generator Template?
The Prompt Generator Template offers businesses a powerful tool for streamlining their AI-driven content creation process. By allowing users to input specific details and select prompt types, it can generate tailored prompts for various applications such as app development, game design, or feature planning. This can significantly reduce the time and effort required in brainstorming and formulating effective prompts, ultimately accelerating project initiation and development cycles.
Can the Prompt Generator Template be customized for specific industry needs?
Absolutely. The Prompt Generator Template is designed with flexibility in mind. Businesses can easily modify the prompt types and the underlying prompt construction logic to suit their specific industry needs. For example, a marketing agency could adapt the template to generate prompts for ad copy, social media posts, or email campaigns. The template's modular structure allows for easy customization of both the frontend options and backend processing.
How does the Prompt Generator Template ensure data security and privacy?
The Prompt Generator Template incorporates best practices for data handling and security. It emphasizes the use of environment variables for sensitive data, as seen in the main.py file. Additionally, all communication between the frontend and backend is done via secure HTTP POST requests. However, for full production deployment, businesses should implement additional security measures such as HTTPS, input sanitization, and potentially user authentication, depending on the sensitivity of the data being processed.
How can I modify the Prompt Generator Template to add a new prompt type?
To add a new prompt type, you'll need to modify both the frontend and backend. In the prompt_form.html file, add a new option to the select element:
html
<select id="promptType" name="promptType" required>
<!-- Existing options -->
<option value="new_prompt_type">New Prompt Type</option>
</select>
Then, in the main.py file, you can modify the prompt construction logic to handle the new type:
python
@app.route("/generate", methods=["POST"])
def generate_prompt():
# Existing code...
if prompt_type == "new_prompt_type":
prompt = f"Generate a {prompt_type} prompt with these specifics: {prompt_details}"
# Rest of the function...
This allows the Prompt Generator Template to handle the new prompt type seamlessly.
How can I integrate a different language model with the Prompt Generator Template?
The Prompt Generator Template is designed to work with various language models. To integrate a different model, you'll need to modify the llm_prompt function in the abilities.py file. Here's an example of how you might integrate a hypothetical new model:
```python from new_model_library import NewModel
def llm_prompt(prompt): model = NewModel() response = model.generate(prompt) return response.text ```
Make sure to install any necessary dependencies for the new model and update the requirements.txt file accordingly. This flexibility allows the Prompt Generator Template to evolve with advancements in AI technology.
Created: | Last Updated:
Introduction to the Prompt Generator Template
Welcome to the Prompt Generator Template! This template is designed to help you create a web application that dynamically generates prompts based on user input. With a neon-colored user interface, users can select a prompt type, provide details, and receive custom prompts tailored to their needs. This step-by-step guide will walk you through using the template on the Lazy platform, ensuring a smooth experience from start to finish.
Getting Started
To begin using the Prompt Generator Template, simply click on "Start with this Template" on the Lazy platform. This will pre-populate the code in the Lazy Builder interface, so you won't need to copy, paste, or delete any code manually.
Test: Deploying the App
Once you have the template loaded, press the "Test" button to start the deployment process. The Lazy CLI will handle the deployment, and you won't need to worry about installing libraries or setting up your environment. If the code requires any user input, the Lazy CLI will prompt you for it after you press the "Test" button.
Entering Input
If the template code requires user input, you will be prompted to provide this information through the Lazy CLI interface. Follow the prompts and enter the necessary details to proceed with the app's functionality.
Using the App
After deployment, if the app includes a frontend or user interface, you will be able to interact with it directly. The interface will render according to the code, allowing you to use the features of the Prompt Generator as intended.
Integrating the App
If your app requires integration with external tools or services, you may need to use the server link provided by the Lazy builder CLI. For example, if your app uses an API, you will be given a link to interact with the API. In the case of FastAPI, you will also receive a documentation link to help you understand how to use the API endpoints.
If there are any additional steps required for integrating the app into an external service or frontend, make sure to follow those instructions carefully. This may include adding the app's server link to an external tool or configuring API endpoints as needed.
Remember, the Lazy platform handles all the heavy lifting, so you can focus on building and integrating your software applications with ease.
Happy building with the Prompt Generator Template on Lazy!
Template Benefits
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Streamlined AI-Assisted Content Creation: This template enables businesses to quickly generate tailored prompts for various development tasks, significantly reducing the time and effort required in crafting detailed project specifications or briefs.
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Improved Project Scoping and Planning: By providing structured, AI-generated prompts, the template helps teams better define project requirements, leading to more accurate estimates, clearer objectives, and smoother project execution.
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Enhanced Consistency in Development Processes: The standardized prompt generation ensures that all team members receive consistent, comprehensive instructions for different types of development tasks, promoting uniformity in project approaches across the organization.
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Increased Productivity in Software Development: With clear, detailed prompts readily available, developers can start working on projects more quickly and efficiently, reducing time spent on clarifying requirements and potentially accelerating overall development timelines.
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Facilitated Knowledge Transfer and Training: The template can serve as an educational tool for junior developers or new team members, providing them with examples of well-structured project requirements and helping them understand the depth of detail needed in various development scenarios.
Technologies
Flask Templates from Lazy AI – Boost Web App Development with Bootstrap, HTML, and Free Python Flask
