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import os |
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import gradio as gr |
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import requests |
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class GPT5Model: |
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""" |
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GPT5Model handles interactions with the GPT-5 API. |
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It includes system prompts, request construction, timeout handling, |
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and graceful error responses if the API can't be reached. |
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""" |
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def __init__(self, api_key: str): |
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self.api_key = api_key |
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self.system_prompt = ( |
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"You are GPT-5, the most advanced AI model available. " |
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"Answer accurately, intelligently, and helpfully." |
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) |
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def generate_response(self, prompt: str) -> str: |
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""" |
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Sends a prompt to the GPT-5 API and returns the response text. |
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If there's a connection error, timeout, or invalid API key, returns a friendly error message. |
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""" |
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url = "https://api.pplx.ai/v1/generate" |
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headers = { |
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"Authorization": f"Bearer {self.api_key}", |
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"Content-Type": "application/json" |
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} |
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full_prompt = f"{self.system_prompt}\nUser: {prompt}\nGPT-5:" |
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payload = {"prompt": full_prompt, "max_tokens": 500} |
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try: |
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response = requests.post(url, json=payload, headers=headers, timeout=15) |
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except requests.exceptions.Timeout: |
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return "Error: Request timed out. Please check your network or try again later." |
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except requests.exceptions.ConnectionError: |
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return "Error: Could not reach API. Please check network settings." |
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except requests.exceptions.RequestException as e: |
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return f"Error: Unexpected error occurred: {e}" |
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if response.status_code == 401: |
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return "Error: API key invalid or expired." |
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if response.status_code != 200: |
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return f"Error: API returned status {response.status_code}." |
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try: |
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data = response.json() |
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text = data.get("choices", [{}])[0].get("text", "").strip() |
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if not text: |
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return "Error: No response content. API key may be exhausted." |
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return text |
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except ValueError: |
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return "Error: Could not parse API response." |
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api_key = os.getenv("PPLX_API_KEY") |
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if not api_key: |
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raise EnvironmentError("API key not found. Please set PPLX_API_KEY environment variable.") |
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model = GPT5Model(api_key) |
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def respond(message, chat_history): |
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reply = model.generate_response(message) |
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chat_history.append((message, reply)) |
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return "", chat_history |
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with gr.Blocks(css=""" |
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#title {text-align: center; font-size: 28px; font-weight: bold;} |
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#footer {text-align: center; font-size: 14px; color: gray;} |
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""") as demo: |
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gr.Markdown("<div id='title'>🚀 GPT-5 Model Interface</div>") |
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chatbot = gr.Chatbot(label="Conversation with GPT-5", height=400) |
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with gr.Row(): |
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txt = gr.Textbox(show_label=False, placeholder="Type your message here…", container=False) |
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send_btn = gr.Button("Send", variant="primary") |
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gr.Markdown("<div id='footer'>Powered by GPT-5 API Simulation | © 2025</div>") |
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send_btn.click(respond, [txt, chatbot], [txt, chatbot]) |
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txt.submit(respond, [txt, chatbot], [txt, chatbot]) |
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demo.launch() |
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