Update app.py

app.py

@@ -1,76 +1,94 @@
 import os
 import json
 import gradio as gr
-from openai import OpenAI
+import requests
 
-# Initialize the OpenAI client
-api_token = os.getenv("oaikey")
-client = OpenAI(api_key=api_token)
+# Environment variables for API keys
+roblox_api_key = os.getenv("RBXAPIKEY·", "0")
+roblox_x_api_key = os.getenv("RBXAPIKEY·", "0")
+universe_id = os.getenv("RBXUNIVERSE", "0")
+instance_id = os.getenv("RBXINSTANCE", "0")
 
 def generate_response(prompt, system_prompt, temperature, top_p, seed):
     try:
-        # Make the API call with the provided parameters
-        response = client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "system", "content": system_prompt},
-                {"role": "user", "content": prompt}
-            ],
-            temperature=temperature,
-            top_p=top_p,
-            seed=seed
-        )
+        url = f"https://apis.roblox.com/cloud/v2/universes/{universe_id}:GenerateText"
         
-        # Extract the text response
-        text_response = response.choices[0].message.content
+        # Prepare the payload
+        payload = json.dumps({
+            "path": f"universes/{universe_id}",
+            "user_prompt": prompt,
+            "system_prompt": system_prompt,
+            "model": "default",
+            "top_p": top_p,
+            "seed": seed,
+            "temperature", temperature
+            
+            # Note: The Roblox API may not support temperature, top_p, and seed parameters
+            # If they do support these parameters, you would add them here
+        })
+        
+        # Set up the headers
+        headers = {
+            'Roblox-Api-Key': roblox_api_key,
+            'x-api-key': roblox_x_api_key,
+            'Roblox-Universe-Id': universe_id,
+            'Roblox-Instance-Id': instance_id,
+            'Content-Type': 'application/json'
+        }
+        
+        # Make the API request
+        response = requests.request("POST", url, headers=headers, data=payload)
+        response.raise_for_status()  # Raise an exception for 4XX/5XX responses
+        
+        # Parse the response
+        response_data = response.json()
+        
+        # Extract the text response (adjust based on actual Roblox API response structure)
+        # This assumes the Roblox API returns a structure with a 'content' field
+        # You may need to adjust this based on the actual response structure
+        text_response = response_data.get("content", "No content returned")
         
         # Convert the full response to a pretty-printed JSON
-        response_dict = response.model_dump()
-        json_response = json.dumps(response_dict, indent=2)
+        json_response = json.dumps(response_data, indent=2)
         
         return text_response, json_response
-    
     except Exception as e:
         return f"Error: {str(e)}", "{}"
 
 # Create the Gradio interface
 with gr.Blocks() as app:
-    gr.Markdown("# OpenAI API Interface")
-    
+    gr.Markdown("# Roblox API Interface")
     with gr.Row():
         with gr.Column():
             # Input components
             prompt = gr.Textbox(label="Prompt", placeholder="Enter your prompt here...", lines=5)
             system_prompt = gr.Textbox(
                 label="System Prompt", 
-                placeholder="You are a helpful assistant...",
-                value="You are a helpful assistant.",
+                placeholder="act as a very respectful agent, that speaks like a pirate...",
+                value="act as a very respectful agent, that speaks like a pirate",
                 lines=3
             )
-            
             with gr.Row():
                 temperature = gr.Slider(
                     minimum=0.0, 
                     maximum=2.0, 
                     value=0.7, 
                     step=0.1, 
-                    label="Temperature"
+                    label="Temperature (may not be supported)"
                 )
                 top_p = gr.Slider(
                     minimum=0.0, 
                     maximum=1.0, 
                     value=1.0, 
                     step=0.05, 
-                    label="Top P"
+                    label="Top P (may not be supported)"
                 )
                 seed = gr.Number(
-                    label="Seed (optional)", 
+                    label="Seed (may not be supported)", 
                     value=None, 
                     precision=0
                 )
-            
             submit_button = gr.Button("Generate Response")
-    
     with gr.Row():
         with gr.Column():
             # Output components