Update app.py

app.py

@@ -2,22 +2,13 @@ import gradio as gr
 import random
 from PIL import Image
 
-# from funcs import detect_emotions, cosine_distance, generate_triggers_img, process_session
 from funcs import detect_emotions, cosine_distance, generate_triggers_img, get_doc_response_emotions, summarize_and_recommend
 
 
-# ps = process_session()
-
-# img_paths = ['2.jpg','3.jpeg','4.jpeg','5.jpeg','6.jpeg']
-# img_path = random.choice(img_paths)
-# img_1 = Image.open(img_path)
-
-# img_path = '7.jpg'
-# img_2 = Image.open(img_path)
-
 with gr.Blocks() as demo:
     gr.Markdown("""# Falcon Cognitive Behavioural Therapy Assistant
-    - Your Personal AI Therapist. Start chatting...""")
+    ## - Your Personal AI Therapist. Start chatting... Once you finish chatting, click "Generate Session Notes & Recommendations" and wait for few seconds for Summary & Recommndations """)
+
     therapy_session_conversation = gr.State([])
 
     img_paths = ['2.jpg','3.jpeg','4.jpeg','5.jpeg','6.jpeg']
@@ -39,12 +30,9 @@ with gr.Blocks() as demo:
             submit_button = gr.Button("Submit")
             submit_button.click(get_doc_response_emotions, [user_input, chatbox], [user_input, chatbox, emotions])
             user_input.submit(get_doc_response_emotions, [user_input, chatbox], [user_input, chatbox, emotions]) 
-            # submit_button.click(ps.get_doc_response_emotions, [user_input, chatbox], [user_input, chatbox, emotions])
-            # user_input.submit(ps.get_doc_response_emotions, [user_input, chatbox], [user_input, chatbox, emotions])
             recommendations = gr.Textbox(label="Recommended Actions", visible = False)
 
             def summarize_and_recommend_process(tcs):
-              # sn, r = ps.summarize_and_recommend()
               sn, r, cb = summarize_and_recommend(tcs)
               return gr.update(visible=True, value=sn), gr.update(visible=True, value=r), gr.update(visible=True, value=cb)
 
@@ -53,5 +41,4 @@ with gr.Blocks() as demo:
     process_button.click(summarize_and_recommend_process, inputs=[chatbox], outputs=[summary_notes, recommendations, chatbox])
 
 
-demo.launch(debug=True, share=True)
-
+demo.launch(debug=True, share=True)