Update app.py

app.py

@@ -12,7 +12,7 @@ import pandas as pd
 # Define the device
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-editorial_model = "PleIAs/Estienne"
+editorial_model = "PleIAs/Bibliography-Formatter"
 token_classifier = pipeline(
     "token-classification", model=editorial_model, aggregation_strategy="simple", device=device
 )
@@ -177,10 +177,10 @@ examples = [
 demo = gr.Blocks()
 
 with gr.Blocks(theme='JohnSmith9982/small_and_pretty') as demo:
-    gr.HTML("""<h1 style="text-align:center">Editorialize your text</h1>""")
+    gr.HTML("""<h1 style="text-align:center">Reversed zotero</h1>""")
     text_input = gr.Textbox(label="Your text", type="text", lines=1)
-    text_button = gr.Button("Identify editorial structures")
-    text_output = gr.HTML(label="Corrected text")
+    text_button = gr.Button("Extract a structured bibtex")
+    text_output = gr.HTML(label="Metadata")
     text_button.click(mistral_bot.predict, inputs=text_input, outputs=[text_output])
 
 if __name__ == "__main__":