Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from database import save_to_db
 from preprocessing import read_file
 
-def process_file(file, topics):
+def process_file(file, topic):
     """
     Processes an uploaded file, extracts its text content, and saves it to the database.
 
@@ -19,7 +19,7 @@ def process_file(file, topics):
     ----------
     file : object
         The uploaded file object. The file's name (`file.name`) is used to determine the file path.
-    topics : list or str
+    topic : list or str
         A list of topics or a single topic string associated with the file. These are saved to the database along with the file content.
 
     Returns:
@@ -43,7 +43,7 @@ def process_file(file, topics):
 
         # Spl
         # Save chunks to database
-        save_to_db(text, topics)
+        save_to_db(text, topic)
 
         return f"File processed successfully! file saved to the database."
     except Exception as e:
@@ -54,11 +54,11 @@ with gr.Blocks() as demo:
     gr.Markdown("# Dataset Upload Interface")
     with gr.Row():
         file_input = gr.File(label="Upload File (.docx or .txt or .pdf)")
-        topics_input = gr.Textbox(label="Topics (comma-separated)", placeholder="e.g., science, technology, law, medicin")
+        topic_input = gr.Textbox(label="Topics (comma-separated)", placeholder="e.g., science, technology, law, medicin")
     submit_button = gr.Button("Upload and Process")
     output_text = gr.Textbox(label="Status")
 
-    submit_button.click(process_file, inputs=[file_input, topics_input], outputs=output_text)
+    submit_button.click(process_file, inputs=[file_input, topic_input], outputs=output_text)
 
 # Launch the app
 demo.launch()