add sample output

inference_app.py

@@ -6,13 +6,15 @@ import gradio as gr
 from gradio_molecule3d import Molecule3D
 
 
+
+
 def predict (input_sequence, input_ligand):
     start_time = time.time()
     # Do inference here
     # return an output directory
     end_time = time.time()
     run_time = end_time - start_time
-    return None, run_time
+    return "test_out.pdb", run_time
 
 with gr.Blocks() as app:
 
@@ -25,13 +27,48 @@ with gr.Blocks() as app:
     
     # define any options here
 
-    # the final for inference should be the default options
+    # for automated inference the default options are used
     # slider_option = gr.Slider(0,10, label="Slider Option")
     # checkbox_option = gr.Checkbox(label="Checkbox Option")
     # dropdown_option = gr.Dropdown(["Option 1", "Option 2", "Option 3"], label="Radio Option")
 
     btn = gr.Button("Run Inference")
-    out = Molecule3D()
+
+    gr.Examples(
+        [
+            [
+                "SVKSEYAEAAAVGQEAVAVFNTMKAAFQNGDKEAVAQYLARLASLYTRHEELLNRILEKARREGNKEAVTLMNEFTATFQTGKSIFNAMVAAFKNGDDDSFESYLQALEKVTAKGETLADQIAKAL:SVKSEYAEAAAVGQEAVAVFNTMKAAFQNGDKEAVAQYLARLASLYTRHEELLNRILEKARREGNKEAVTLMNEFTATFQTGKSIFNAMVAAFKNGDDDSFESYLQALEKVTAKGETLADQIAKAL"
+                "COc1ccc(cc1)n2c3c(c(n2)C(=O)N)CCN(C3=O)c4ccc(cc4)N5CCCCC5=O",
+            ],
+        ],
+        [input_sequence, input_ligand],
+    )
+    reps =    [
+    {
+      "model": 0,
+      "chain": "",
+      "resname": "",
+      "style": "cartoon",
+      "color": "whiteCarbon",
+      "residue_range": "",
+      "around": 0,
+      "byres": False,
+      "visible": False
+    },
+    {
+      "model": 1,
+      "chain": "",
+      "resname": "",
+      "style": "stick",
+      "color": "greenCarbon",
+      "residue_range": "",
+      "around": 0,
+      "byres": False,
+      "visible": False
+    }
+  ]
+    
+    out = Molecule3D(reps=reps)
     run_time = gr.Textbox(label="Runtime")
 
     btn.click(predict, inputs=[input_sequence, input_ligand], outputs=[out, run_time])