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README.md

@@ -1,12 +1,14 @@
 ---
-title: Prompt Testing Demo
-emoji: 🦀
-colorFrom: green
-colorTo: yellow
+title: HealthBenchDemo
+emoji: 🔥
+colorFrom: indigo
+colorTo: red
 sdk: gradio
-sdk_version: 5.44.1
+sdk_version: 5.42.0
 app_file: app.py
 pinned: false
+license: mit
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+

app.py

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+import os
+import gradio as gr
+from openai import OpenAI
+
+# Read your key from env (set this in HF Spaces -> Settings -> Secrets)
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+if not OPENAI_API_KEY:
+    raise RuntimeError("Missing OPENAI_API_KEY environment variable.")
+
+client = OpenAI(api_key=OPENAI_API_KEY)
+
+DEFAULT_SYS_PROMPT = "You are a helpful assistant. Be concise and accurate."
+
+def chat_fn(message, history, system_prompt, temperature, model_name):
+    """
+    message: latest user text (str)
+    history: list[dict] like [{'role':'user'|'assistant','content': '...'}, ...]
+    system_prompt: system instructions (str)
+    temperature: float
+    model_name: str (e.g., 'gpt-4o-mini' or 'gpt-5')
+    """
+    # Build messages for the Chat Completions API
+    messages = []
+    if system_prompt and system_prompt.strip():
+        messages.append({"role": "system", "content": system_prompt.strip()})
+    # Append prior turns
+    messages.extend(history or [])
+    # Add the latest user turn
+    messages.append({"role": "user", "content": message})
+
+    # Stream tokens and yield partials for Gradio
+    completion = client.chat.completions.create(
+        model=model_name,
+        messages=messages,
+        temperature=float(temperature),
+        stream=True,
+    )
+
+    partial = ""
+    for chunk in completion:
+        delta = chunk.choices[0].delta
+        if delta and delta.content:
+            partial += delta.content
+            yield partial
+
+with gr.Blocks(title="Healthelic") as demo:
+    gr.Markdown("## Healthelic Chat\nA lightweight, streaming chat app.")
+
+    with gr.Row():
+        system_prompt = gr.Textbox(
+            value=DEFAULT_SYS_PROMPT,
+            label="System prompt",
+            lines=2
+        )
+
+    with gr.Row():
+        model_name = gr.Dropdown(
+            choices=["gpt-4o-mini", "gpt-4o", "gpt-5"],
+            value="gpt-5",
+            label="Model"
+        )
+        temperature = gr.Slider(0.0, 1.2, value=0.7, step=0.1, label="Temperature")
+
+    chat = gr.ChatInterface(
+        fn=chat_fn,
+        type="messages",
+        additional_inputs=[system_prompt, temperature, model_name],
+        textbox=gr.Textbox(placeholder="Ask me anything…"),
+        examples=[
+            ["Explain transformers in one paragraph", DEFAULT_SYS_PROMPT, 0.7, "gpt-4o-mini"],
+            ["Write a dad joke about databases", DEFAULT_SYS_PROMPT, 0.7, "gpt-4o-mini"]
+        ],
+        cache_examples=False,
+        save_history=True,
+        flagging_mode="manual",
+        flagging_options=["👍 Useful", "👎 Not good", "⚠ Inaccurate"],
+    )
+
+if __name__ == "__main__":
+    demo.launch(share=True)

requirements.txt

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+gradio>=4.44.1
+openai>=1.40.0