Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
 import os
 import traceback
+import requests
 
 # Styling
 fancy_css = """
@@ -46,40 +46,44 @@ Given a list of notes (like "C E G" or "D F# A C"), identify the chord name.
 Always respond with the chord name and a short explanation of the intervals.
 """
 
-# Hugging Face API token (in Space secrets)
+# Hugging Face API token (from Space secrets)
 HF_TOKEN = os.environ.get("HF_TOKEN")
 
-# Inference client
-client = InferenceClient(token=HF_TOKEN)
+# API URL – using GPT-2 as demo, can be swapped for another model
+API_URL = "https://api-inference.huggingface.co/models/gpt2"
+
 
 def respond(message, history, system_message, max_tokens, temperature, top_p):
     if HF_TOKEN is None:
         return "⚠️ No HF_TOKEN found. Please add it in your Space secrets."
 
     try:
-        # Build a simple prompt
+        # Build prompt
         prompt = f"{system_message}\nUser: {message}\nAnswer:"
 
-        # Raw POST to Hugging Face Inference API
-        output = client.post_json(
-            "https://api-inference.huggingface.co/models/gpt2",  # ✅ change model here if needed
-            {
-                "inputs": prompt,
-                "parameters": {
-                    "max_new_tokens": max_tokens,
-                    "temperature": temperature,
-                    "top_p": top_p,
-                },
+        headers = {"Authorization": f"Bearer {HF_TOKEN}"}
+        payload = {
+            "inputs": prompt,
+            "parameters": {
+                "max_new_tokens": max_tokens,
+                "temperature": temperature,
+                "top_p": top_p,
             },
-        )
+        }
 
-        # Parse response
-        if isinstance(output, list) and len(output) > 0 and "generated_text" in output[0]:
-            response = output[0]["generated_text"]
-        else:
-            response = str(output)
+        # Call Hugging Face Inference API
+        response = requests.post(API_URL, headers=headers, json=payload)
+
+        if response.status_code != 200:
+            return f"⚠️ API Error {response.status_code}: {response.text}"
 
-        return response.strip()
+        data = response.json()
+
+        # Extract generated text
+        if isinstance(data, list) and len(data) > 0 and "generated_text" in data[0]:
+            return data[0]["generated_text"].strip()
+        else:
+            return str(data)
 
     except Exception as e:
         tb = traceback.format_exc()