Skip to main content

OpenAI SearchGPT Python APP



Creating a simple "SearchGPT" Python app would involve building a script that accepts a user query, searches for relevant information, and returns results. For this example, I’ll demonstrate how you can use OpenAI's GPT API (like the one I’m based on) to create a basic search function.

Since we’re simulating a search engine, this app will perform the following:
1. Accept a user query.
2. Use GPT to generate a response based on the query.
3. Optionally, refine the search results by querying the web using a Python web scraping library (e.g., `BeautifulSoup`, `requests`), or via integration with an external API.

Here's a simple version of "SearchGPT" using just GPT:

Step 1: Install Required Packages
First, ensure you have the necessary packages installed:


pip install openai

Step 2: Create the `searchgpt.py` Script


import openai

# Initialize the OpenAI API client
openai.api_key = 'YOUR_OPENAI_API_KEY'  # Replace with your actual API key

def search_gpt(query):
    """
    Function to simulate a search using GPT.
   
    :param query: User's search query
    :return: GPT-generated response
    """
    try:
        # Make a request to the OpenAI API
        response = openai.Completion.create(
            engine="text-davinci-004",  # You can use different models here
            prompt=f"Search results for: {query}\n",
            max_tokens=150,
            n=1,
            stop=None,
            temperature=0.7,
        )

        # Extract and return the result
        result = response.choices[0].text.strip()
        return result

    except Exception as e:
        return f"An error occurred: {str(e)}"


def main():
    print("Welcome to SearchGPT!")
    while True:
        user_query = input("\nEnter your search query (or type 'exit' to quit): ")
        if user_query.lower() == 'exit':
            print("Goodbye!")
            break

        # Get the search results from GPT
        result = search_gpt(user_query)
        print(f"\nSearch Results for '{user_query}':\n{result}\n")


if __name__ == "__main__":
    main()


Step 3: Running the App

To run the app, simply execute the script:


python searchgpt.py

Explanation of the Code:
- openai.api_key: Replace `'YOUR_OPENAI_API_KEY'` with your actual OpenAI API key.
- search_gpt(query): This function sends the user's search query to the GPT model and returns a response based on the prompt.
- `main()`: This is the main loop where the app continuously accepts user input and displays search results.

Step 4: Enhancing the App

You can enhance this basic "SearchGPT" app by adding:
- Web Scraping: Integrate web scraping to gather real-time data from the web and refine the GPT results.
- Natural Language Processing (NLP): Implement more sophisticated NLP techniques to better understand user intent and refine queries.
- Integration with External APIs: Use APIs like Google Search or Bing to retrieve actual search results, then use GPT to summarize or explain those results.

This basic app serves as a starting point for creating more advanced search tools powered by GPT.

Comments

Popular posts from this blog

Java Swing MySql JDBC: insert data into database

Program import javax.swing.*; import java.awt.*; import java.awt.event.*; import java.sql.*; public class insertswing implements ActionListener {   JFrame fr;JPanel po;   JLabel l1,l2,main;   JTextField tf1,tf2;   GridBagConstraints gbc;   GridBagLayout go;   JButton ok,exit; public insertswing(){ fr=new JFrame("New User Data "); Font f=new Font("Verdana",Font.BOLD,24); po=new JPanel(); fr.getContentPane().add(po); fr.setVisible(true); fr.setSize(1024,768); fr.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); po.setBackground(Color.WHITE); go=new GridBagLayout(); gbc=new GridBagConstraints(); po.setLayout(go); main=new JLabel("Enter User Details "); main.setFont(f); l1=new JLabel("Name  :");tf1=new JTextField(20); l2=new JLabel("User Name  :");tf2=new JTextField(20); ok=new JButton("Accept"); exit=new JButton("Exit"); gbc.anchor=GridBagConstraints.NORTH;gbc.gridx=5;gbc.gridy=0; go.s...

Guidewire Policy - Spin Up Spin Off Transactions

Guidewire PolicyCenter - Spin Up and Spin Off Policy Job Transactions In Guidewire PolicyCenter, "spin up" and "spin off" refer to specific actions you can take with policy job transactions. These terms are related to how new policy transactions (such as renewals, endorsements, or cancellations) are created or modified. Here's an explanation of each: 1. Spin Up: "Spin up" refers to the process of creating a new policy job from an existing policy or transaction. When you "spin up" a policy job, you're essentially initiating a new transaction based on an existing policy. This new transaction could be a renewal, an endorsement, or any other type of policy change. For example: - Renewal : When a policy's term is about to expire, you might "spin up" a renewal job to create a new policy term based on the existing one. The new job will carry forward much of the existing policy's data but may allow for updates or cha...

JSP and Servlet Form Submission without page refresh show results on the same page using Jquery AJAX

Code Snippet HTML Form  <form id='ajaxform' name='ajaxform' action='ajaxformexample' method='post'>  First Name: <input type='text' id='firstname' name='firstname' size='30' required/><br/>  Last Name: <input type='text' id='lastname' name='lastname' size='30'required/><br/>  Email:  <input type='email' id='emailid' name='emailid' size='30'required/><br/>  Password:  <input type='password' id='pwd' name='pwd' size='30'required/><br/>  <input type='Submit'/>   <div id='content'> </div> </form> the above HTML Form uses post method and url servlet redirect to " ajaxformexample " Javascript Code  var form = $('#ajaxform'); // id of form tag  form.submit(function () {  $.ajax({  ...