somthinf

app.py

@@ -385,14 +385,11 @@ with gr.Blocks() as demo:
         combined_txt_results = gr.Textbox(label="Combined Repo Files", lines=20)
         llm_output_txt_results = gr.Textbox(label="LLM Analysis Output", lines=10)
         back_to_start_btn4 = gr.Button("Back to Start")
-
-    # Add at the end, after results_page
-    batch_btn = gr.Button("Batch Analyze All & Select Top 3", visible=True)
-    batch_info_txt = gr.Textbox(label="All Repo Analyses", lines=10)
-    top3_txt = gr.Textbox(label="Top 3 Repo IDs", lines=1)
-
-    # Add a button to show top 3 in chat
-    show_top3_chat_btn = gr.Button("Show Top 3 Repo IDs in Chat", visible=True)
+        # Batch analyze and show top 3 only on results page
+        batch_btn = gr.Button("Batch Analyze All & Select Top 3", visible=True)
+        batch_info_txt = gr.Textbox(label="All Repo Analyses", lines=10)
+        top3_txt = gr.Textbox(label="Top 3 Repo IDs", lines=1)
+        show_top3_chat_btn = gr.Button("Show Top 3 Repo IDs in Chat", visible=True)
 
     # Navigation logic
     option_a_btn.click(go_to_input, inputs=None, outputs=[start_page, input_page, chatbot_page, results_page])
@@ -439,11 +436,8 @@ with gr.Blocks() as demo:
 
     # Add logic for the new button on results_page
     analyze_next_btn.click(show_combined_repo_and_llm, inputs=None, outputs=[combined_txt_results, llm_output_txt_results, results_df])
-
-    # Add logic for the batch button
+    # Batch analyze and show top 3 logic (now only on results page)
     batch_btn.click(batch_analyze_and_select_top, inputs=None, outputs=[batch_info_txt, top3_txt, df_output])
-
-    # Add logic for showing top 3 in chat
     show_top3_chat_btn.click(batch_analyze_and_select_top_for_chat, inputs=[state], outputs=[state])
 
 demo.launch()

chatbot_page.py

@@ -5,8 +5,8 @@ import os
 # System prompt for the chatbot
 CHATBOT_SYSTEM_PROMPT = (
     "You are a helpful assistant. Your goal is to help the user describe their ideal Hugging face repo. "
-    "Ask questions to clarify what they want, their use case, preferred language, features, etc. "
-    "When the user clicks 'End Chat', analyze the conversation and return about 5 keywords for repo search. "
+    "Ask questions to clarify what they want, their use case,features, etc. "
+    "When the user clicks 'End Chat', analyze the conversation and return 1 to 5 keywords for repo search. "
     "Return only the keywords as a comma-separated list."
 )
 
@@ -70,7 +70,7 @@ with gr.Blocks() as chatbot_demo:
     gr.Markdown("## Repo Recommendation Chatbot")
     chatbot = gr.Chatbot()
     # Initial assistant message
-    initial_message = "Hello! What kind of open-source repo are you looking for? Please describe your ideal repo, use case, preferred language, or any features you want."
+    initial_message = "Hello! Please tell me about your ideal Hugging Face repo. What use case, preferred language, or features are you looking for?"
     state = gr.State([["", initial_message]])  # Start with assistant message
     user_input = gr.Textbox(label="Your message", placeholder="Describe your ideal repo or answer the assistant's questions...")
     send_btn = gr.Button("Send")