Update app.py

app.py

@@ -397,6 +397,7 @@ from pathlib import Path
 from ragatouille import RAGPretrainedModel
 from gradio_client import Client
 from jinja2 import Environment, FileSystemLoader
+from tempfile import NamedTemporaryFile
 
 VECTOR_COLUMN_NAME = "vector"
 TEXT_COLUMN_NAME = "text"
@@ -426,7 +427,7 @@ RAG_db = gr.State()
 def json_to_excel(output_json):
     # Initialize list for DataFrame
     data = []
-
+    gr.Warning('Generating Shareable file link..',duration=30)
     for i in range(1, 11):  # Assuming there are 10 questions
         question_key = f"Q{i}"
         answer_key = f"A{i}"
@@ -466,11 +467,14 @@ def json_to_excel(output_json):
         "Time in seconds",
         "Image Link"
     ])
+    # Create a temporary file and save the DataFrame to it
+    temp_file = NamedTemporaryFile(delete=False, suffix=".xlsx")
+    df.to_excel(temp_file.name, index=False)
 
-    # Save to Excel file
-    excel_path = proj_dir / "quiz_questions.xlsx"
-    df.to_excel(str(excel_path), index=False)
-    return excel_path
+    # # Save to Excel file
+    # excel_path = proj_dir / "quiz_questions.xlsx"
+    # df.to_excel(str(excel_path), index=False)
+    return temp_file.name
 
 with gr.Blocks(title="Quiz Maker", theme=gr.themes.Default(primary_hue="green", secondary_hue="green"), css="style.css") as QUIZBOT:
     def load_model():
@@ -509,7 +513,7 @@ with gr.Blocks(title="Quiz Maker", theme=gr.themes.Default(primary_hue="green",
         RAG_db_ = RAG_db.value
         documents_full = RAG_db_.search(topic, k=top_k_rank)
 
-        gr.Warning('Generation of Quiz may take 1 to 2 minutes. Please wait.')
+        gr.Warning('Generation of Quiz may take 1 to 2 minutes. Please wait.',duration=60)
 
         question_radio_list = []
         excel_file = None