Upload app.py

app.py

@@ -48,11 +48,12 @@ FREE_MODELS = [
 import time
 
 def analyze_narrative(api_key, text, model_name, progress=gr.Progress()):
-    if not api_key:
-        yield "⚠️ Error: Please provide a valid Hugging Face Token."
+    # Prefer user input, fallback to environment variable
+    token_to_use = api_key.strip() if api_key else os.getenv("HF_TOKEN")
+    
+    if not token_to_use:
+        yield "⚠️ Error: Please provide a Hugging Face Token (or set HF_TOKEN env var)."
         return
-
-    api_key = api_key.strip()
     
     if not text.strip():
         yield "⚠️ Error: Please enter some text to analyze."
@@ -63,7 +64,7 @@ def analyze_narrative(api_key, text, model_name, progress=gr.Progress()):
         progress(0.1, desc="Connecting to Hugging Face...")
         
         # Initialize the client
-        client = InferenceClient(token=api_key)
+        client = InferenceClient(token=token_to_use)
 
         measure_message = [
             {"role": "system", "content": SYSTEM_INSTRUCTION},
@@ -115,10 +116,10 @@ with gr.Blocks(theme=gr.themes.Soft(), title="Policy Narrative Analyst (HF Editi
     with gr.Row():
         with gr.Column(scale=1):
             api_key_input = gr.Textbox(
-                label="Hugging Face Token", 
+                label="Hugging Face Token (Optional)", 
                 type="password", 
-                placeholder="Paste your hf_... token here",
-                info="Free usage. Token not saved."
+                placeholder="Leave blank if HF_TOKEN is set in Secrets",
+                info="If using HF Spaces, add 'HF_TOKEN' to Settings -> Secrets."
             )
             
             model_selector = gr.Dropdown(