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.
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