Update app.py

app.py

@@ -102,15 +102,13 @@ def send_selected_story(title, model_name, system_prompt):
     data = []  # Reset data for new story
     tokenizer, model = load_model(model_name)
     selected_story = title
-    story_text = ""
     for story in stories:
         if story["title"] == title:
-            story_text = story['story']
             system_prompt = f"""
 {system_prompt}
 Here is the story:
 ---
-{story_text}
+{story['story']}
 ---
             """
             combined_message = system_prompt.strip()
@@ -122,7 +120,7 @@ Here is the story:
                 question_prompt = "Please ask a simple question about the story to encourage interaction."
                 _, formatted_history, chat_history = interact(question_prompt, chat_history)
 
-                return formatted_history, chat_history, story_text, gr.update(value=[])  # Reset the data table
+                return formatted_history, chat_history, gr.update(value=[])  # Reset the data table
             else:
                 print("Combined message is empty.")
         else:
@@ -160,9 +158,9 @@ def save_comment_score(chat_responses, score, comment, story_name, user_name):
         comment
     ])
 
-    # Append data to Google Sheets
-    sheet = client.open(google_sheets_name).sheet1  # Assuming results are saved in sheet1
-    sheet.append_row([timestamp_str, user_name, model_name, story_name, last_user_message, last_assistant_message, score, comment])
+    # Select the sheet corresponding to the user name
+    user_sheet = client.open(google_sheets_name).worksheet(user_name)  # Assuming each user has a separate sheet named after them
+    user_sheet.append_row([timestamp_str, user_name, model_name, story_name, last_user_message, last_assistant_message, score, comment])
 
     df = pd.DataFrame(data, columns=["Timestamp", "User Name", "Model Name", "Story Name", "User Input", "Chat Response", "Score", "Comment"])
     return df, gr.update(value="")  # Clear the comment input box
@@ -183,7 +181,6 @@ with gr.Blocks() as demo:
     system_prompt_input = gr.Textbox(lines=5, value=default_system_prompt, label="System Prompt")
 
     send_story_button = gr.Button("Send Story")
-    story_display = gr.Textbox(label="Selected Story", lines=10, interactive=False)
 
     with gr.Row():
         with gr.Column(scale=1):
@@ -193,6 +190,8 @@ with gr.Blocks() as demo:
         with gr.Column(scale=2):
             chatbot_output = gr.Chatbot(label="Chat History")
 
+    selected_story_output = gr.Textbox(label="Selected Story", interactive=False)
+
     with gr.Row():
         with gr.Column(scale=1):
             score_input = gr.Slider(minimum=0, maximum=5, step=1, label="Score")
@@ -203,7 +202,7 @@ with gr.Blocks() as demo:
 
     chat_history_json = gr.JSON(value=[], visible=False)
 
-    send_story_button.click(fn=send_selected_story, inputs=[story_dropdown, model_dropdown, system_prompt_input], outputs=[chatbot_output, chat_history_json, story_display, data_table])
+    send_story_button.click(fn=send_selected_story, inputs=[story_dropdown, model_dropdown, system_prompt_input], outputs=[chatbot_output, chat_history_json, data_table, selected_story_output])
     send_message_button.click(fn=interact, inputs=[chatbot_input, chat_history_json], outputs=[chatbot_input, chatbot_output, chat_history_json])
     save_button.click(fn=save_comment_score, inputs=[chatbot_output, score_input, comment_input, story_dropdown, user_dropdown], outputs=[data_table, comment_input])