Update app.py

app.py

@@ -0,0 +1,44 @@
+from huggingface_hub import InferenceClient
+import os
+
+# 1) Put your token here or set HF_TOKEN in env
+API_KEY = os.getenv("HF_TOKEN", "hf_your_token_here")
+
+client = InferenceClient(api_key=API_KEY)
+
+SYSTEM_PROMPT = "You are a helpful assistant in a medical AI course. Answer clearly and safely."
+
+PARAMS = {
+    "max_tokens": 300,
+    "temperature": 0.7,
+    "top_p": 0.9,
+}
+
+def simple_chat(user_message: str, model_name: str):
+    if not user_message.strip():
+        return "Please ask a question!"
+
+    messages = [
+        {"role": "system", "content": SYSTEM_PROMPT},
+        {"role": "user", "content": user_message},
+    ]
+
+    try:
+        completion = client.chat.completions.create(
+            model=model_name,
+            messages=messages,
+            max_tokens=PARAMS["max_tokens"],
+            temperature=PARAMS["temperature"],
+            top_p=PARAMS["top_p"],
+        )
+        return completion.choices[0].message.content
+    except Exception as e:
+        # Print real error so you can debug
+        return f"Raw error from Hugging Face:\n{repr(e)}"
+
+
+if __name__ == "__main__":
+    # Start with ONE model you know is served by Inference Providers:
+    test_model = "HuggingFaceTB/SmolLM3-3B"
+    print("Testing model:", test_model)
+    print(simple_chat("Say hello in one sentence.", test_model))