Create app.py

app.py

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+import os
+import gradio as gr
+from openai import OpenAI
+
+# --- Configuration ---
+# Read from environment for safety. Set OPENAI_API_KEY before running.
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+if not OPENAI_API_KEY:
+    raise RuntimeError(
+        "Missing OPENAI_API_KEY. Set it in your environment: "
+        "export OPENAI_API_KEY='sk-...' (Linux/Mac) or "
+        "setx OPENAI_API_KEY \"sk-...\" (Windows)"
+    )
+
+# Optional: override base URL if you use a proxy/self-hosted gateway.
+# For the standard OpenAI endpoint you can omit base_url entirely.
+client = OpenAI(
+    api_key=OPENAI_API_KEY,
+    base_url=os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1")
+)
+
+# Default system prompt and model; adjust as desired.
+DEFAULT_SYSTEM_PROMPT = "You are a helpful, concise assistant."
+DEFAULT_MODEL = os.getenv("OPENAI_MODEL", "gpt-5-chat-latest")  # use a current chat model
+
+def chat_fn(message, history, system_prompt, temperature, max_tokens):
+    """
+    Gradio ChatInterface passes:
+      - message: current user message (str)
+      - history: list[tuple[str,str]] of (user, assistant) turns
+    We convert to OpenAI's chat message format and call the Chat Completions API.
+    """
+    # Build messages: system + alternating user/assistant + latest user
+    messages = [{"role": "system", "content": system_prompt.strip() or DEFAULT_SYSTEM_PROMPT}]
+
+    for user_msg, assistant_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if assistant_msg:
+            messages.append({"role": "assistant", "content": assistant_msg})
+
+    messages.append({"role": "user", "content": message})
+
+    resp = client.chat.completions.create(
+        model=DEFAULT_MODEL,
+        messages=messages,
+        temperature=temperature,
+        max_tokens=max_tokens if max_tokens and max_tokens > 0 else None,
+    )
+
+    reply = resp.choices[0].message.content
+    return reply
+
+with gr.Blocks(title="OpenAI Chat (Gradio)") as demo:
+    gr.Markdown("## OpenAI Chatbot\nEnter a message below to chat.")
+
+    with gr.Row():
+        system_prompt = gr.Textbox(
+            label="System prompt",
+            value=DEFAULT_SYSTEM_PROMPT,
+            lines=2
+        )
+
+    with gr.Row():
+        temperature = gr.Slider(0.0, 2.0, value=0.7, step=0.1, label="Temperature")
+        max_tokens = gr.Slider(64, 4096, value=512, step=32, label="Max tokens (response)")
+
+    chat = gr.ChatInterface(
+        fn=lambda msg, hist: chat_fn(msg, hist, system_prompt.value, temperature.value, int(max_tokens.value)),
+        type="messages",    # keeps history as list of tuples
+        title="OpenAI Chatbot",
+        retry_btn="Retry",
+        undo_btn="Remove last",
+        clear_btn="Clear",
+        submit_btn="Send"
+    )
+
+if __name__ == "__main__":
+    # You can set server_name="0.0.0.0" if deploying in a container.
+    demo.launch()