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import gradio as gr |
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import os |
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import json |
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import numpy as np |
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import requests |
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from openai import OpenAI |
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def call_gpt3_5(prompt, api_key): |
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client = OpenAI(api_key=api_key) |
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try: |
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response = client.chat.completions.create( |
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model="gpt-3.5-turbo", |
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messages=[ |
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{"role": "system", "content": "You are a helpful assistant capable of constructing and executing a Swarm Neural Network (SNN). Return only the formatted results of the SNN execution."}, |
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{"role": "user", "content": prompt} |
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] |
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) |
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return response.choices[0].message.content |
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except Exception as e: |
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return f"Error calling GPT-3.5: {str(e)}" |
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def execute_snn(api_url, openai_api_key, num_agents, calls_per_agent, special_config): |
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prompt = f""" |
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Construct and execute a Swarm Neural Network (SNN) with the following parameters: |
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- API URL: {api_url} |
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- Number of Agents: {num_agents} |
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- Calls per Agent: {calls_per_agent} |
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- Special Configuration: {special_config if special_config else 'None'} |
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Simulate the execution of this SNN and provide only the formatted results. The results should include: |
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1. A summary of the data retrieved from the API calls |
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2. Any patterns or insights derived from the collective behavior of the agents |
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3. Performance metrics of the SNN (e.g., execution time, success rate of API calls) |
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Present the results in a clear, structured format without any additional explanations or descriptions of the SNN process. |
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""" |
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gpt_response = call_gpt3_5(prompt, openai_api_key) |
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if gpt_response: |
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return f"Results from the swarm neural network:\n\n{gpt_response}" |
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else: |
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return "Failed to execute SNN due to GPT-3.5 API call failure." |
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iface = gr.Interface( |
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fn=execute_snn, |
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inputs=[ |
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gr.Textbox(label="API URL for your task"), |
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gr.Textbox(label="OpenAI API Key", type="password"), |
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gr.Number(label="Number of Agents", minimum=1, maximum=100, step=1), |
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gr.Number(label="Calls per Agent", minimum=1, maximum=100, step=1), |
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gr.Textbox(label="Special Configuration (optional)") |
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], |
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outputs="text", |
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title="Swarm Neural Network Simulator", |
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description="Enter the parameters for your Swarm Neural Network (SNN) simulation.", |
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examples=[ |
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["https://meowfacts.herokuapp.com/", "your-api-key-here", 3, 1, ""], |
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["https://api.publicapis.org/entries", "your-api-key-here", 5, 2, "category=Animals"] |
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] |
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) |
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iface.launch() |
