update app

app.py

@@ -5,6 +5,16 @@ import gradio as gr
 file_path = 'iclr2024_reviews_20231110.csv'
 df = pd.read_csv(file_path)
 
+# Function to create a hyperlink for the paper title
+def create_link(row):
+    base_url = "https://openreview.net/forum?id="
+    title = row['Title']
+    paper_id = row['ID']
+    return f'<a href="{base_url}{paper_id}" target="_blank">{title}</a>'
+
+# Apply the function to create hyperlinks in the Title column
+df['Title'] = df.apply(create_link, axis=1)
+
 # Define a function to filter the DataFrame based on a search query
 def search_papers(query=""):
     if query:  # If there is a search query, filter the DataFrame
@@ -18,7 +28,7 @@ with gr.Blocks() as demo:
     search_bar = gr.Textbox(placeholder="Enter search terms here...", label="Search Reviews")
     
     # Initialize the reviews table with all the data
-    reviews_table = gr.Dataframe(df)
+    reviews_table = gr.Dataframe(df, interactive=True, type="pandas", datatype=["str", "str", "html", "number", "number", "str"])
 
     # When the search bar changes, update the reviews table with the filtered results
     search_bar.change(