fix: pin jinja2 and let HF supervisor launch demo natively

app.py

@@ -1,37 +1,27 @@
 import gradio as gr
 import spaces
-from fastapi.responses import JSONResponse
 from app.api.routes import router
 from app.engine.inference import generate_sql
 
-# 1. ZeroGPU-registered worker satisfying the mandatory startup probe
+# 1. Satisfy ZeroGPU AST scanner
 @spaces.GPU(duration=60)
 def gpu_predict(prompt: str):
     return generate_sql(prompt, n_candidates=1)
 
-# 2. Native Gradio Block with actual event wiring
+# 2. Build a standard visible block (avoids Jinja empty context bug)
 with gr.Blocks(title="Text-to-SQL API") as demo:
-    gr.Markdown("## Text-to-SQL Microservice Engine")
-    dummy_input = gr.Textbox(visible=False)
-    dummy_output = gr.Textbox(visible=False)
-    dummy_btn = gr.Button("init", visible=False)
-    dummy_btn.click(fn=gpu_predict, inputs=dummy_input, outputs=dummy_output)
+    gr.Markdown("# Text-to-SQL Backend Microservice")
+    gr.Markdown("FastAPI Swagger docs are available at [/docs](/docs).")
+    
+    with gr.Row():
+        test_in = gr.Textbox(label="Test Prompt", value="[SCHEMA] ... [QUESTION] count users [SQL] ")
+        test_out = gr.Textbox(label="Generated SQL Output")
+    
+    run_btn = gr.Button("Run Inference Test")
+    run_btn.click(fn=gpu_predict, inputs=test_in, outputs=test_out)
 
-# 3. Attach your actual FastAPI router directly to Gradio's underlying FastAPI instance
+# 3. Mount your FastAPI routes directly onto Gradio's internal Starlette/FastAPI app
 demo.app.include_router(router, prefix="/v1")
 
-@demo.app.get("/healthz")
-def healthz():
-    return {"status": "ok"}
-
-@demo.app.get("/api-info")
-def api_info():
-    return JSONResponse(
-        content={
-            "docs": "/docs",
-            "generate": "/v1/generate"
-        }
-    )
-
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+# Notice: NO demo.launch() and NO uvicorn.run(). 
+# Hugging Face's ZeroGPU supervisor launches the `demo` object automatically.

requirements.txt

@@ -4,5 +4,6 @@ pydantic>=2.0.0
 torch
 transformers
 gradio==4.44.1
+jinja2<3.1.4
 huggingface_hub<0.28.0
 spaces