Create app.py

app.py

@@ -0,0 +1,65 @@
+import gradio as gr
+import os
+import json
+import numpy as np
+import requests
+from openai import OpenAI
+
+def call_gpt3_5(prompt, api_key):
+    client = OpenAI(api_key=api_key)
+    try:
+        response = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"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."},
+                {"role": "user", "content": prompt}
+            ]
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"Error calling GPT-3.5: {str(e)}"
+
+def execute_snn(api_url, openai_api_key, num_agents, calls_per_agent, special_config):
+    prompt = f"""
+    Construct and execute a Swarm Neural Network (SNN) with the following parameters:
+    - API URL: {api_url}
+    - Number of Agents: {num_agents}
+    - Calls per Agent: {calls_per_agent}
+    - Special Configuration: {special_config if special_config else 'None'}
+
+    Simulate the execution of this SNN and provide only the formatted results. The results should include:
+    1. A summary of the data retrieved from the API calls
+    2. Any patterns or insights derived from the collective behavior of the agents
+    3. Performance metrics of the SNN (e.g., execution time, success rate of API calls)
+
+    Present the results in a clear, structured format without any additional explanations or descriptions of the SNN process.
+    """
+    
+    gpt_response = call_gpt3_5(prompt, openai_api_key)
+    
+    if gpt_response:
+        return f"Results from the swarm neural network:\n\n{gpt_response}"
+    else:
+        return "Failed to execute SNN due to GPT-3.5 API call failure."
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=execute_snn,
+    inputs=[
+        gr.Textbox(label="API URL for your task"),
+        gr.Textbox(label="OpenAI API Key", type="password"),
+        gr.Number(label="Number of Agents", minimum=1, maximum=100, step=1),
+        gr.Number(label="Calls per Agent", minimum=1, maximum=100, step=1),
+        gr.Textbox(label="Special Configuration (optional)")
+    ],
+    outputs="text",
+    title="Swarm Neural Network Simulator",
+    description="Enter the parameters for your Swarm Neural Network (SNN) simulation.",
+    examples=[
+        ["https://meowfacts.herokuapp.com/", "your-api-key-here", 3, 1, ""],
+        ["https://api.publicapis.org/entries", "your-api-key-here", 5, 2, "category=Animals"]
+    ]
+)
+
+# Launch the interface
+iface.launch()