updating with requests and hfh

app.py

@@ -1,58 +1,78 @@
 """
-Hugging Face Space entrypoint: Gradio UI + requests to OpenAI Chat Completions.
-
-Secrets: Space → Settings → Variables and secrets → add secret OPENAI_API_KEY.
-Do not put API keys in code or in git; HF injects secrets as environment variables.
+Gradio Space: ask OpenAI Chat Completions in two boring ways — raw HTTP (`requests`)
+and Hugging Face (`huggingface_hub.InferenceClient`). Put OPENAI_API_KEY in Space secrets.
 """
 
 import os
 
 import gradio as gr
 import requests
+from huggingface_hub import InferenceClient
 
-import gradio as gr
+# Pick any model name your OpenAI key is allowed to call.
+MODEL = "gpt-5-nano"
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def ask_with_requests(question: str) -> str:
+    """
+    Path 1: build the HTTP request yourself.
+
+    - URL + JSON body match OpenAI's REST docs for Chat Completions.
+    - `Authorization: Bearer …` is how OpenAI expects the API key.
+    """
+    key = os.environ["OPENAI_API_KEY"]
+
+    response = requests.post(
+        "https://api.openai.com/v1/chat/completions",
+        headers={
+            "Authorization": f"Bearer {key}",
+            "Content-Type": "application/json",
+        },
+        json={
+            "model": MODEL,
+            "messages": [{"role": "user", "content": question}],
+        },
+        timeout=120,
+    )
+    response.raise_for_status()
+    data = response.json()
+    return data["choices"][0]["message"]["content"]
+
 
-# # Chat Completions HTTP API (same thing the official Python SDK calls under the hood).
-# URL = "https://api.openai.com/v1/chat/completions"
-
-
-# def ask(question: str) -> str:
-#     # HF Spaces: add OPENAI_API_KEY under Space Settings → Variables and secrets.
-#     key = os.environ.get("OPENAI_API_KEY", "").strip()
-#     if not key:
-#         return "Missing secret: add OPENAI_API_KEY in this Space’s Settings → Variables and secrets, then restart if needed."
-
-#     # Plain HTTP: Bearer token + JSON body. Easy to show students in Network tab / docs.
-#     resp = requests.post(
-#         URL,
-#         headers={"Authorization": f"Bearer {key}", "Content-Type": "application/json"},
-#         json={
-#             "model": "gpt-4o-mini",
-#             "messages": [{"role": "user", "content": question}],
-#         },
-#         timeout=120,
-#     )
-#     try:
-#         resp.raise_for_status()
-#     except requests.HTTPError:
-#         return f"HTTP {resp.status_code}: {resp.text[:500]}"
-
-#     data = resp.json()
-#     return data["choices"][0]["message"]["content"]
-
-
-# demo = gr.Interface(
-#     fn=ask,
-#     inputs=gr.Textbox(label="Question", lines=3),
-#     outputs=gr.Textbox(label="Answer", lines=12),
-#     title="Ask OpenAI (via requests)",
-# )
-
-# if __name__ == "__main__":
-#     demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))
+def ask_with_huggingface_hub(question: str) -> str:
+    """
+    Path 2: let `huggingface_hub` speak OpenAI-style Chat Completions.
+
+    `InferenceClient.chat.completions.create(...)` is documented to follow the same idea as
+    OpenAI's SDK; here we aim it at OpenAI by setting `base_url` to OpenAI's `/v1` root.
+    """
+    client = InferenceClient(
+        base_url="https://api.openai.com/v1",
+        api_key=os.environ["OPENAI_API_KEY"],
+    )
+
+    completion = client.chat.completions.create(
+        model=MODEL,
+        messages=[{"role": "user", "content": question}],
+    )
+    return completion.choices[0].message.content
+
+
+demo = gr.TabbedInterface(
+    [
+        gr.Interface(
+            fn=ask_with_requests,
+            inputs=gr.Textbox(label="Question", lines=3),
+            outputs=gr.Textbox(label="Answer", lines=12),
+        ),
+        gr.Interface(
+            fn=ask_with_huggingface_hub,
+            inputs=gr.Textbox(label="Question", lines=3),
+            outputs=gr.Textbox(label="Answer", lines=12),
+        ),
+    ],
+    tab_names=["requests", "huggingface_hub"],
+    title="Ask OpenAI (two simple clients)",
+)
+
+demo.launch()

requirements.txt

@@ -1,2 +1,3 @@
 gradio
 requests
+huggingface_hub>=0.26.0