flag example runs

app.py

@@ -118,7 +118,7 @@ model = AutoModelForCausalLM.from_pretrained(model_name,
 tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=auth_token)
 model.eval()
 
-def gradio_interface_function(template, text):
+def gradio_interface_function(template, text, is_example):
     # reject invalid JSON
     try:
         template_json = json.loads(template)
@@ -138,7 +138,9 @@ def gradio_interface_function(template, text):
         # yield gr.update(value=chunk_info), gr.update(value=progress), gr.update(value=full_pred), gr.update(value=html_content)
         yield progress, full_pred, html_content
 
-    log_event(text, template, full_pred)
+    if not is_example:
+        log_event(text, template, full_pred)
+        
 
 # Set up the Gradio interface
 iface = gr.Interface(
@@ -147,6 +149,7 @@ iface = gr.Interface(
     inputs=[
         gr.Textbox(lines=2, placeholder="Enter Template here...", label="Template"),
         gr.Textbox(lines=2, placeholder="Enter input Text here...", label="Input Text"),
+        gr.Checkbox(label="Is Example?", visible=False),
     ],
     outputs=[
         gr.Textbox(label="Progress"),

examples.py

@@ -1,6 +1,6 @@
 # Example inputs for the user to choose from
 examples = [
-    ["""{
+    ("""{
     "Model": {
         "Name": "",
         "Number of parameters": "",
@@ -21,8 +21,8 @@ reduced inference cost. We also provide a model fine-tuned to follow instruction
 Mistral 7B – Instruct, that surpasses Llama 2 13B – chat model both on human and
 automated benchmarks. Our models are released under the Apache 2.0 license.
 Code: https://github.com/mistralai/mistral-src
-Webpage: https://mistral.ai/news/announcing-mistral-7b/"""],
-    ["""{
+Webpage: https://mistral.ai/news/announcing-mistral-7b/""", True),
+    ("""{
     "Doctor_Patient_Discussion": {
         "Initial_Observation": {
             "Symptoms": [],
@@ -64,8 +64,8 @@ Doctor: OK. You’ve few symptoms of malaria. I would suggest you undergo blood
 Doctor: I’m prescribing three medicines and a syrup. The number of dots in front of each tells you how many times in the day you’ve to take them. For example, the two dots here mean you’ve to take the medicine twice in the day, once in the morning and once after dinner.
 Doctor: Do you’ve any other questions?
 Patient: No, doctor. Thank you.
-"""],
-    ["""{
+""", True),
+    ("""{
     "Name": "",
     "Age": "",
     "Educations": [
@@ -121,8 +121,8 @@ Technical Expertise
 MS Excel, PowerPoint, Relational Databases, Project Management, Quantitative Analysis, SQL, Java
 Additional
 Organized computer and English literacy workshops for underprivileged children in South Asia, 2013
-Student Scholarship Recipient, National Conference on Race and Ethnicity, 2007-2008"""],
-    ["""{
+Student Scholarship Recipient, National Conference on Race and Ethnicity, 2007-2008""", True),
+    ("""{
     "Name_act": "",
     "Director": "",
     "Location": [
@@ -138,8 +138,9 @@ Student Scholarship Recipient, National Conference on Race and Ethnicity, 2007-2
             ]
         }
     ]
-}""",""""Libretto by Marius Petipa, based on the 1822 novella ``Trilby, ou Le Lutin d'Argail`` by Charles Nodier, first presented by the Ballet of the Moscow Imperial Bolshoi Theatre on January 25/February 6 (Julian/Gregorian calendar dates), 1870, in Moscow with Polina Karpakova as Trilby and Ludiia Geiten as Miranda and restaged by Petipa for the Imperial Ballet at the Imperial Bolshoi Kamenny Theatre on January 17–29, 1871 in St. Petersburg with Adèle Grantzow as Trilby and Lev Ivanov as Count Leopold."""],
-    ["""{
+}""",""""Libretto by Marius Petipa, based on the 1822 novella ``Trilby, ou Le Lutin d'Argail`` by Charles Nodier, first presented by the Ballet of the Moscow Imperial Bolshoi Theatre on January 25/February 6 (Julian/Gregorian calendar dates), 1870, in Moscow with Polina Karpakova as Trilby and Ludiia Geiten as Miranda and restaged by Petipa for the Imperial Ballet at the Imperial Bolshoi Kamenny Theatre on January 17–29, 1871 in St. Petersburg with Adèle Grantzow as Trilby and Lev Ivanov as Count Leopold."""
+    , True),
+    ("""{
     "birth_date": "",
     "current_team": "",
     "past_f1_teams": [],
@@ -326,6 +327,6 @@ Longest time between first and last points finishes	7,812 days	2024 Canadian Gra
 Longest time between first and last podium finishes	7,532 days	2023 Dutch Grand Prix	
 Most races between successive podium finishes	105	2021 Qatar Grand Prix	
 Furthest distance driven in F1	106,477 km	2022 British Grand Prix	
-Most laps driven in F1	21,287 laps	2023 Italian Grand Prix	"""],
+Most laps driven in F1	21,287 laps	2023 Italian Grand Prix	""", True),
     
 ]