Create app.py

app.py

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+import gradio as gr
+import pandas as pd
+from google.colab import auth
+import gspread
+from google.auth import default
+
+
+def feedback_response(feedback, comments):
+    response = ''
+    if feedback == 'Good Response':
+        response = 'Good Response!'
+    elif feedback == 'Bad Response':
+        response = 'Bad Response'
+    else:
+        response = 'Inappropriate response!'
+    if comments:
+        comments = comments
+
+    # Create a DataFrame from the response
+    auth.authenticate_user()
+    creds, _ = default()
+    gc = gspread.authorize(creds)
+    sheet_id = "18hnoTsEaGMWMael42MXubb-FzAe5jJB5RpaSolIXyb0"
+    worksheet_name = "Sheet1"
+    auth.authenticate_user()
+    creds, _ = default()
+    gc = gspread.authorize(creds)
+    sh = gc.open_by_key(sheet_id)
+    sh.worksheets()
+    worksheet = sh.worksheet(worksheet_name)
+    df = pd.DataFrame({'Response': [response],'Additional Comments': [comments]})
+    #worksheet.append_rows([df.columns.values.tolist()] + df.values.tolist())
+    worksheet.append_rows(df.values.tolist())
+    return "Your feedback has been recorded. Thank you!" 
+
+# Set up the Gradio Interface
+feedback_interface = gr.Interface(
+    fn=feedback_response,
+    inputs=[
+        gr.Radio(
+            choices=[
+                "Good Response",
+                "Bad Response",
+                "Inappropriate Response"
+            ],
+            label="Feedback"
+        ),
+        gr.Textbox(label="Additional Comments")
+    ],
+    outputs= "text"
+)
+
+# Launch the interface
+feedback_interface.launch(share=True)