Update app.py

app.py

@@ -19,6 +19,22 @@ import logging
 from textblob import TextBlob
 import whisper
 
+import sqlite3
+
+# Initialize SQLite database
+conn = sqlite3.connect("feedback.db")
+cursor = conn.cursor()
+cursor.execute("CREATE TABLE IF NOT EXISTS feedback (id INTEGER PRIMARY KEY, comment TEXT)")
+conn.commit()
+
+# Function to save feedback to the database
+def save_feedback_db(feedback):
+    if feedback.strip():  # Ensure feedback is not empty
+        cursor.execute("INSERT INTO feedback (comment) VALUES (?)", (feedback,))
+        conn.commit()
+        return "Thank you for your feedback!"
+    else:
+        return "Feedback cannot be empty."
 
 # Configure logging
 logging.basicConfig(level=logging.DEBUG, format="%(asctime)s - %(levelname)s - %(message)s")
@@ -197,12 +213,22 @@ def build_interface():
             translated_output = gr.JSON(label="Video transcript")
             processed_video_output = gr.File(label="Download Processed Video", interactive=False)  # Download button
         with gr.Row():
-            
-        submit_button.click(
-            upload_and_manage, 
-            inputs=[file_input, language_input], 
-            outputs=[translated_output, processed_video_output]
-        )
+            gr.Markdown("## Provide Your Feedback")
+            feedback_input = gr.Textbox(label="Your Feedback", placeholder="Enter your feedback here...", lines=3)
+            feedback_btn = gr.Button("Submit Feedback")
+            result_output = gr.Textbox(label="Submission Status", interactive=False)
+    
+            submit_button.click(
+                upload_and_manage, 
+                inputs=[file_input, language_input], 
+                outputs=[translated_output, processed_video_output]
+            )
+            # Connect submit button to save_feedback_db function
+            feedback_btn.click(
+                save_feedback_db, 
+                inputs=[feedback_input], 
+                outputs=[result_output]
+            )
 
     # with gr.Tab("Analytics Dashboard"):
     #     gr.Markdown("## Content Performance Analytics")