Upload app.py

app.py

@@ -415,9 +415,8 @@ def classify_solution_stream(question: str, solution: str, progress=gr.Progress(
         yield "Runtime error", f"{type(e).__name__}: {e}", "❌ Exception during inference."
 
         
-        
         # Create Gradio interface (streaming UI)
-with gr.Blocks(title="Math Solution Classifier", theme=gr.themes.Soft(), queue=True) as app:
+with gr.Blocks(title="Math Solution Classifier", theme=gr.themes.Soft()) as app:
     gr.Markdown("# 🧮 Math Solution Classifier")
     gr.Markdown(
         "Classify math solutions as **correct**, **conceptually flawed**, or **computationally flawed**. "
@@ -444,8 +443,8 @@ with gr.Blocks(title="Math Solution Classifier", theme=gr.themes.Soft(), queue=T
         # ---------- Right: outputs ----------
         with gr.Column(scale=1):
             classification_output = gr.Textbox(label="Classification", interactive=False)
-            explanation_output = gr.Textbox(label="Explanation", interactive=False, lines=6)
-            status_output = gr.Markdown(value="*(idle)*")  # live stage updates
+            explanation_output   = gr.Textbox(label="Explanation",   interactive=False, lines=6)
+            status_output        = gr.Markdown(value="*(idle)*")  # live stage updates
 
     # ---------- Examples ----------
     gr.Examples(
@@ -468,10 +467,10 @@ with gr.Blocks(title="Math Solution Classifier", theme=gr.themes.Soft(), queue=T
 
     # ---------- Wiring ----------
     classify_btn.click(
-        fn=classify_solution_stream,  # <- your generator function
+        fn=classify_solution_stream,                # your generator
         inputs=[question_input, solution_input],
         outputs=[classification_output, explanation_output, status_output],
-        show_progress="hidden",     # single compact global bar; no per-output bars
+        show_progress="hidden",                    # single compact global bar
     )
 
     # Clear everything
@@ -488,5 +487,8 @@ with gr.Blocks(title="Math Solution Classifier", theme=gr.themes.Soft(), queue=T
         queue=False,
     )
 
+# Enable queue AFTER building (needed for streaming on Spaces)
+app.queue(concurrency_count=1, max_size=16)
+
 if __name__ == "__main__":
     app.launch()