iteration

app.py

@@ -1,7 +1,33 @@
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Step 1: Textbox input
+# For now, we wire the textbox to a dummy function. We'll later replace `dummy_inference` with your model call.
+def dummy_inference(query: str) -> str:
+    # TODO: replace with actual NER+RE model inference
+    return f"Model received: '{query}'"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+with gr.Blocks(title="Step 1: Input Box Demo") as demo:
+    gr.Markdown("""
+    ## Step 1: Implement a Text Input
+    Enter any text below. On submit, it will echo back the value.  
+    This is where your NER + relation-extraction model will later consume the query.
+    """
+    )
+    query_input = gr.Textbox(
+        lines=4,
+        placeholder="Type your text here...",
+        label="Input Text",
+    )
+    submit_btn = gr.Button("Submit")
+    output_box = gr.Textbox(
+        lines=2,
+        label="Echoed Output",
+    )
+    submit_btn.click(
+        fn=dummy_inference,
+        inputs=[query_input],
+        outputs=[output_box],
+    )
+
+demo.queue(default_concurrency_limit=5)
+demo.launch(debug=True)