Display down for maintenance message

app.py

@@ -417,193 +417,197 @@ with gr.Blocks(css=".gradio-container {background-color: lightgray}") as block:
     translate_to_state = gr.State(TRANSLATE_TO_DEFAULT)
     literary_style_state = gr.State(LITERARY_STYLE_DEFAULT)
 
-    with gr.Tab("Chat"):
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("<h4><center>Conversational Agent using GPT-3.5 & LangChain</center></h4>")
-
-            openai_api_key_textbox = gr.Textbox(placeholder="Paste your OpenAI API key (sk-...)",
-                                                show_label=False, lines=1, type='password')
-
-        with gr.Row():
-            with gr.Column(scale=1, min_width=100, visible=False):
-                my_file = gr.File(label="Upload a file", type="file", visible=False)
-                tmp_file = gr.File("videos/Masahiro.mp4", visible=False)
-                tmp_file_url = "/file=" + tmp_file.value['name']
-                htm_video = f'<video width="256" height="256" autoplay muted loop><source src={tmp_file_url} type="video/mp4" poster="Masahiro.png"></video>'
-                video_html = gr.HTML(htm_video)
-
-                # my_aud_file = gr.File(label="Audio file", type="file", visible=True)
-                tmp_aud_file = gr.File("audios/tempfile.mp3", visible=False)
-                tmp_aud_file_url = "/file=" + tmp_aud_file.value['name']
-                htm_audio = f'<audio><source src={tmp_aud_file_url} type="audio/mp3"></audio>'
-                audio_html = gr.HTML(htm_audio)
-
-            with gr.Column(scale=3):
-                chatbot = gr.Chatbot()
-
-        with gr.Row():
-            message = gr.Textbox(label="What's on your mind??",
-                                 placeholder="What's the answer to life, the universe, and everything?",
-                                 lines=1)
-            submit = gr.Button(value="Send", variant="secondary").style(full_width=False)
-
-        # UNCOMMENT TO USE WHISPER
-        # with gr.Row():
-        #     audio_comp = gr.Microphone(source="microphone", type="filepath", label="Just say it!",
-        #                                interactive=True, streaming=False)
-        #     audio_comp.change(transcribe, inputs=[audio_comp], outputs=[message])
-
-        gr.Examples(
-            examples=["How many people live in Canada?",
-                      "What is 2 to the 30th power?",
-                      "How much did it rain in SF today?",
-                      "Get me information about the movie 'Avatar'",
-                      "What are the top tech headlines in the US?",
-                      "On the desk, you see two blue booklets, two purple booklets, and two yellow pairs of sunglasses - "
-                      "if I remove all the pairs of sunglasses from the desk, how many purple items remain on it?"],
-            inputs=message
-        )
-
-    with gr.Tab("Settings"):
-        tools_cb_group = gr.CheckboxGroup(label="Tools:", choices=TOOLS_LIST,
-                                          value=TOOLS_DEFAULT_LIST)
-        tools_cb_group.change(update_selected_tools,
-                              inputs=[tools_cb_group, tools_list_state, llm_state],
-                              outputs=[tools_list_state, llm_state, chain_state, express_chain_state])
-
-        trace_chain_cb = gr.Checkbox(label="Show reasoning chain in chat bubble", value=False)
-        trace_chain_cb.change(update_foo, inputs=[trace_chain_cb, trace_chain_state],
-                              outputs=[trace_chain_state])
-
-        speak_text_cb = gr.Checkbox(label="Speak text from agent", value=False)
-        speak_text_cb.change(update_foo, inputs=[speak_text_cb, speak_text_state],
-                             outputs=[speak_text_state])
-
-    with gr.Tab("Formality"):
-        formality_radio = gr.Radio(label="Formality:",
-                                   choices=[FORMALITY_DEFAULT, "Casual", "Polite", "Honorific"],
-                                   value=FORMALITY_DEFAULT)
-        formality_radio.change(update_foo,
-                               inputs=[formality_radio, formality_state],
-                               outputs=[formality_state])
-
-    with gr.Tab("Translate to"):
-        translate_to_radio = gr.Radio(label="Translate to:", choices=[
-            TRANSLATE_TO_DEFAULT, "Arabic", "Arabic (Gulf)", "Catalan", "Chinese (Cantonese)", "Chinese (Mandarin)",
-            "Danish", "Dutch", "English (Australian)", "English (British)", "English (Indian)", "English (New Zealand)",
-            "English (South African)", "English (US)", "English (Welsh)", "Finnish", "French", "French (Canadian)",
-            "German", "German (Austrian)", "Hindi", "Icelandic", "Italian", "Japanese", "Korean", "Norwegian", "Polish",
-            "Portuguese (Brazilian)", "Portuguese (European)", "Romanian", "Russian", "Spanish (European)",
-            "Spanish (Mexican)", "Spanish (US)", "Swedish", "Turkish", "Ukrainian", "Welsh",
-            "emojis", "Gen Z slang", "how the stereotypical Karen would say it", "Klingon",
-            "Pirate", "Strange Planet expospeak technical talk", "Yoda"],
-                                      value=TRANSLATE_TO_DEFAULT)
-
-        translate_to_radio.change(update_foo,
-                                  inputs=[translate_to_radio, translate_to_state],
-                                  outputs=[translate_to_state])
-
-    with gr.Tab("Lit style"):
-        literary_style_radio = gr.Radio(label="Literary style:", choices=[
-            LITERARY_STYLE_DEFAULT, "Prose", "Summary", "Outline", "Bullets", "Poetry", "Haiku", "Limerick", "Joke",
-            "Knock-knock"],
-                                        value=LITERARY_STYLE_DEFAULT)
-
-        literary_style_radio.change(update_foo,
-                                    inputs=[literary_style_radio, literary_style_state],
-                                    outputs=[literary_style_state])
-
-    with gr.Tab("Emotions"):
-        anticipation_level_radio = gr.Radio(label="Anticipation level:",
-                                            choices=[EMOTION_DEFAULT, "Interest", "Anticipation", "Vigilance"],
-                                            value=EMOTION_DEFAULT)
-        anticipation_level_radio.change(update_foo,
-                                        inputs=[anticipation_level_radio, anticipation_level_state],
-                                        outputs=[anticipation_level_state])
-
-        joy_level_radio = gr.Radio(label="Joy level:",
-                                   choices=[EMOTION_DEFAULT, "Serenity", "Joy", "Ecstasy"],
-                                   value=EMOTION_DEFAULT)
-        joy_level_radio.change(update_foo,
-                               inputs=[joy_level_radio, joy_level_state],
-                               outputs=[joy_level_state])
-
-        trust_level_radio = gr.Radio(label="Trust level:",
-                                     choices=[EMOTION_DEFAULT, "Acceptance", "Trust", "Admiration"],
-                                     value=EMOTION_DEFAULT)
-        trust_level_radio.change(update_foo,
-                                 inputs=[trust_level_radio, trust_level_state],
-                                 outputs=[trust_level_state])
-
-        fear_level_radio = gr.Radio(label="Fear level:",
-                                    choices=[EMOTION_DEFAULT, "Apprehension", "Fear", "Terror"],
-                                    value=EMOTION_DEFAULT)
-        fear_level_radio.change(update_foo,
-                                inputs=[fear_level_radio, fear_level_state],
-                                outputs=[fear_level_state])
-
-        surprise_level_radio = gr.Radio(label="Surprise level:",
-                                        choices=[EMOTION_DEFAULT, "Distraction", "Surprise", "Amazement"],
-                                        value=EMOTION_DEFAULT)
-        surprise_level_radio.change(update_foo,
-                                    inputs=[surprise_level_radio, surprise_level_state],
-                                    outputs=[surprise_level_state])
-
-        sadness_level_radio = gr.Radio(label="Sadness level:",
-                                       choices=[EMOTION_DEFAULT, "Pensiveness", "Sadness", "Grief"],
-                                       value=EMOTION_DEFAULT)
-        sadness_level_radio.change(update_foo,
-                                   inputs=[sadness_level_radio, sadness_level_state],
-                                   outputs=[sadness_level_state])
-
-        disgust_level_radio = gr.Radio(label="Disgust level:",
-                                       choices=[EMOTION_DEFAULT, "Boredom", "Disgust", "Loathing"],
-                                       value=EMOTION_DEFAULT)
-        disgust_level_radio.change(update_foo,
-                                   inputs=[disgust_level_radio, disgust_level_state],
-                                   outputs=[disgust_level_state])
-
-        anger_level_radio = gr.Radio(label="Anger level:",
-                                     choices=[EMOTION_DEFAULT, "Annoyance", "Anger", "Rage"],
-                                     value=EMOTION_DEFAULT)
-        anger_level_radio.change(update_foo,
-                                 inputs=[anger_level_radio, anger_level_state],
-                                 outputs=[anger_level_state])
-
-    with gr.Tab("Max words"):
-        num_words_slider = gr.Slider(label="Max number of words to generate (0 for don't care)",
-                                     value=NUM_WORDS_DEFAULT, minimum=0, maximum=MAX_WORDS, step=10)
-        num_words_slider.change(update_foo,
-                                inputs=[num_words_slider, num_words_state],
-                                outputs=[num_words_state])
-
-    gr.HTML("""
-    This application demonstrates a conversational agent implemented with OpenAI GPT-3.5 and LangChain. 
-    When necessary, it leverages tools for complex math, searching the internet, and accessing news and weather.
-    On a desktop, the agent will often speak using using an animated avatar from 
-    <a href='https://exh.ai/'>Ex-Human</a>.""")
-
-    gr.HTML("<center>Powered by <a href='https://github.com/hwchase17/langchain'>LangChain 🦜️🔗</a></center>")
-
-    message.submit(chat, inputs=[message, history_state, chain_state, trace_chain_state, speak_text_state,
-                                 express_chain_state, num_words_state, formality_state,
-                                 anticipation_level_state, joy_level_state, trust_level_state, fear_level_state,
-                                 surprise_level_state, sadness_level_state, disgust_level_state, anger_level_state,
-                                 translate_to_state, literary_style_state],
-                   # outputs=[chatbot, history_state, video_html, my_file, message])
-                   outputs=[chatbot, history_state, audio_html, tmp_aud_file, message])
-
-    submit.click(chat, inputs=[message, history_state, chain_state, trace_chain_state, speak_text_state,
-                               express_chain_state, num_words_state, formality_state,
-                               anticipation_level_state, joy_level_state, trust_level_state, fear_level_state,
-                               surprise_level_state, sadness_level_state, disgust_level_state, anger_level_state,
-                               translate_to_state, literary_style_state],
-                 # outputs=[chatbot, history_state, video_html, my_file, message])
-                 outputs=[chatbot, history_state, audio_html, tmp_aud_file, message])
-
-    openai_api_key_textbox.change(set_openai_api_key,
-                                  inputs=[openai_api_key_textbox],
-                                  outputs=[chain_state, express_chain_state, llm_state])
+    gr.Markdown("<h4><center>Conversational Agent using GPT-3.5 & LangChain</center></h4>")
+    gr.Markdown(
+        "<b><i><center>Down while implementing some great feedback gathered from the last few days</center></i></b>")
+
+    # with gr.Tab("Chat"):
+    #     with gr.Row():
+    #         with gr.Column():
+    #             gr.Markdown("<h4><center>Conversational Agent using GPT-3.5 & LangChain</center></h4>")
+    #
+    #         openai_api_key_textbox = gr.Textbox(placeholder="Paste your OpenAI API key (sk-...)",
+    #                                             show_label=False, lines=1, type='password')
+    #
+    #     with gr.Row():
+    #         with gr.Column(scale=1, min_width=100, visible=False):
+    #             my_file = gr.File(label="Upload a file", type="file", visible=False)
+    #             tmp_file = gr.File("videos/Masahiro.mp4", visible=False)
+    #             tmp_file_url = "/file=" + tmp_file.value['name']
+    #             htm_video = f'<video width="256" height="256" autoplay muted loop><source src={tmp_file_url} type="video/mp4" poster="Masahiro.png"></video>'
+    #             video_html = gr.HTML(htm_video)
+    #
+    #             # my_aud_file = gr.File(label="Audio file", type="file", visible=True)
+    #             tmp_aud_file = gr.File("audios/tempfile.mp3", visible=False)
+    #             tmp_aud_file_url = "/file=" + tmp_aud_file.value['name']
+    #             htm_audio = f'<audio><source src={tmp_aud_file_url} type="audio/mp3"></audio>'
+    #             audio_html = gr.HTML(htm_audio)
+    #
+    #         with gr.Column(scale=3):
+    #             chatbot = gr.Chatbot()
+    #
+    #     with gr.Row():
+    #         message = gr.Textbox(label="What's on your mind??",
+    #                              placeholder="What's the answer to life, the universe, and everything?",
+    #                              lines=1)
+    #         submit = gr.Button(value="Send", variant="secondary").style(full_width=False)
+    #
+    #     # UNCOMMENT TO USE WHISPER
+    #     # with gr.Row():
+    #     #     audio_comp = gr.Microphone(source="microphone", type="filepath", label="Just say it!",
+    #     #                                interactive=True, streaming=False)
+    #     #     audio_comp.change(transcribe, inputs=[audio_comp], outputs=[message])
+    #
+    #     gr.Examples(
+    #         examples=["How many people live in Canada?",
+    #                   "What is 2 to the 30th power?",
+    #                   "How much did it rain in SF today?",
+    #                   "Get me information about the movie 'Avatar'",
+    #                   "What are the top tech headlines in the US?",
+    #                   "On the desk, you see two blue booklets, two purple booklets, and two yellow pairs of sunglasses - "
+    #                   "if I remove all the pairs of sunglasses from the desk, how many purple items remain on it?"],
+    #         inputs=message
+    #     )
+    #
+    # with gr.Tab("Settings"):
+    #     tools_cb_group = gr.CheckboxGroup(label="Tools:", choices=TOOLS_LIST,
+    #                                       value=TOOLS_DEFAULT_LIST)
+    #     tools_cb_group.change(update_selected_tools,
+    #                           inputs=[tools_cb_group, tools_list_state, llm_state],
+    #                           outputs=[tools_list_state, llm_state, chain_state, express_chain_state])
+    #
+    #     trace_chain_cb = gr.Checkbox(label="Show reasoning chain in chat bubble", value=False)
+    #     trace_chain_cb.change(update_foo, inputs=[trace_chain_cb, trace_chain_state],
+    #                           outputs=[trace_chain_state])
+    #
+    #     speak_text_cb = gr.Checkbox(label="Speak text from agent", value=False)
+    #     speak_text_cb.change(update_foo, inputs=[speak_text_cb, speak_text_state],
+    #                          outputs=[speak_text_state])
+    #
+    # with gr.Tab("Formality"):
+    #     formality_radio = gr.Radio(label="Formality:",
+    #                                choices=[FORMALITY_DEFAULT, "Casual", "Polite", "Honorific"],
+    #                                value=FORMALITY_DEFAULT)
+    #     formality_radio.change(update_foo,
+    #                            inputs=[formality_radio, formality_state],
+    #                            outputs=[formality_state])
+    #
+    # with gr.Tab("Translate to"):
+    #     translate_to_radio = gr.Radio(label="Translate to:", choices=[
+    #         TRANSLATE_TO_DEFAULT, "Arabic", "Arabic (Gulf)", "Catalan", "Chinese (Cantonese)", "Chinese (Mandarin)",
+    #         "Danish", "Dutch", "English (Australian)", "English (British)", "English (Indian)", "English (New Zealand)",
+    #         "English (South African)", "English (US)", "English (Welsh)", "Finnish", "French", "French (Canadian)",
+    #         "German", "German (Austrian)", "Hindi", "Icelandic", "Italian", "Japanese", "Korean", "Norwegian", "Polish",
+    #         "Portuguese (Brazilian)", "Portuguese (European)", "Romanian", "Russian", "Spanish (European)",
+    #         "Spanish (Mexican)", "Spanish (US)", "Swedish", "Turkish", "Ukrainian", "Welsh",
+    #         "emojis", "Gen Z slang", "how the stereotypical Karen would say it", "Klingon",
+    #         "Pirate", "Strange Planet expospeak technical talk", "Yoda"],
+    #                                   value=TRANSLATE_TO_DEFAULT)
+    #
+    #     translate_to_radio.change(update_foo,
+    #                               inputs=[translate_to_radio, translate_to_state],
+    #                               outputs=[translate_to_state])
+    #
+    # with gr.Tab("Lit style"):
+    #     literary_style_radio = gr.Radio(label="Literary style:", choices=[
+    #         LITERARY_STYLE_DEFAULT, "Prose", "Summary", "Outline", "Bullets", "Poetry", "Haiku", "Limerick", "Joke",
+    #         "Knock-knock"],
+    #                                     value=LITERARY_STYLE_DEFAULT)
+    #
+    #     literary_style_radio.change(update_foo,
+    #                                 inputs=[literary_style_radio, literary_style_state],
+    #                                 outputs=[literary_style_state])
+    #
+    # with gr.Tab("Emotions"):
+    #     anticipation_level_radio = gr.Radio(label="Anticipation level:",
+    #                                         choices=[EMOTION_DEFAULT, "Interest", "Anticipation", "Vigilance"],
+    #                                         value=EMOTION_DEFAULT)
+    #     anticipation_level_radio.change(update_foo,
+    #                                     inputs=[anticipation_level_radio, anticipation_level_state],
+    #                                     outputs=[anticipation_level_state])
+    #
+    #     joy_level_radio = gr.Radio(label="Joy level:",
+    #                                choices=[EMOTION_DEFAULT, "Serenity", "Joy", "Ecstasy"],
+    #                                value=EMOTION_DEFAULT)
+    #     joy_level_radio.change(update_foo,
+    #                            inputs=[joy_level_radio, joy_level_state],
+    #                            outputs=[joy_level_state])
+    #
+    #     trust_level_radio = gr.Radio(label="Trust level:",
+    #                                  choices=[EMOTION_DEFAULT, "Acceptance", "Trust", "Admiration"],
+    #                                  value=EMOTION_DEFAULT)
+    #     trust_level_radio.change(update_foo,
+    #                              inputs=[trust_level_radio, trust_level_state],
+    #                              outputs=[trust_level_state])
+    #
+    #     fear_level_radio = gr.Radio(label="Fear level:",
+    #                                 choices=[EMOTION_DEFAULT, "Apprehension", "Fear", "Terror"],
+    #                                 value=EMOTION_DEFAULT)
+    #     fear_level_radio.change(update_foo,
+    #                             inputs=[fear_level_radio, fear_level_state],
+    #                             outputs=[fear_level_state])
+    #
+    #     surprise_level_radio = gr.Radio(label="Surprise level:",
+    #                                     choices=[EMOTION_DEFAULT, "Distraction", "Surprise", "Amazement"],
+    #                                     value=EMOTION_DEFAULT)
+    #     surprise_level_radio.change(update_foo,
+    #                                 inputs=[surprise_level_radio, surprise_level_state],
+    #                                 outputs=[surprise_level_state])
+    #
+    #     sadness_level_radio = gr.Radio(label="Sadness level:",
+    #                                    choices=[EMOTION_DEFAULT, "Pensiveness", "Sadness", "Grief"],
+    #                                    value=EMOTION_DEFAULT)
+    #     sadness_level_radio.change(update_foo,
+    #                                inputs=[sadness_level_radio, sadness_level_state],
+    #                                outputs=[sadness_level_state])
+    #
+    #     disgust_level_radio = gr.Radio(label="Disgust level:",
+    #                                    choices=[EMOTION_DEFAULT, "Boredom", "Disgust", "Loathing"],
+    #                                    value=EMOTION_DEFAULT)
+    #     disgust_level_radio.change(update_foo,
+    #                                inputs=[disgust_level_radio, disgust_level_state],
+    #                                outputs=[disgust_level_state])
+    #
+    #     anger_level_radio = gr.Radio(label="Anger level:",
+    #                                  choices=[EMOTION_DEFAULT, "Annoyance", "Anger", "Rage"],
+    #                                  value=EMOTION_DEFAULT)
+    #     anger_level_radio.change(update_foo,
+    #                              inputs=[anger_level_radio, anger_level_state],
+    #                              outputs=[anger_level_state])
+    #
+    # with gr.Tab("Max words"):
+    #     num_words_slider = gr.Slider(label="Max number of words to generate (0 for don't care)",
+    #                                  value=NUM_WORDS_DEFAULT, minimum=0, maximum=MAX_WORDS, step=10)
+    #     num_words_slider.change(update_foo,
+    #                             inputs=[num_words_slider, num_words_state],
+    #                             outputs=[num_words_state])
+    #
+    # gr.HTML("""
+    # This application demonstrates a conversational agent implemented with OpenAI GPT-3.5 and LangChain.
+    # When necessary, it leverages tools for complex math, searching the internet, and accessing news and weather.
+    # On a desktop, the agent will often speak using using an animated avatar from
+    # <a href='https://exh.ai/'>Ex-Human</a>.""")
+    #
+    # gr.HTML("<center>Powered by <a href='https://github.com/hwchase17/langchain'>LangChain 🦜️🔗</a></center>")
+    #
+    # message.submit(chat, inputs=[message, history_state, chain_state, trace_chain_state, speak_text_state,
+    #                              express_chain_state, num_words_state, formality_state,
+    #                              anticipation_level_state, joy_level_state, trust_level_state, fear_level_state,
+    #                              surprise_level_state, sadness_level_state, disgust_level_state, anger_level_state,
+    #                              translate_to_state, literary_style_state],
+    #                # outputs=[chatbot, history_state, video_html, my_file, message])
+    #                outputs=[chatbot, history_state, audio_html, tmp_aud_file, message])
+    #
+    # submit.click(chat, inputs=[message, history_state, chain_state, trace_chain_state, speak_text_state,
+    #                            express_chain_state, num_words_state, formality_state,
+    #                            anticipation_level_state, joy_level_state, trust_level_state, fear_level_state,
+    #                            surprise_level_state, sadness_level_state, disgust_level_state, anger_level_state,
+    #                            translate_to_state, literary_style_state],
+    #              # outputs=[chatbot, history_state, video_html, my_file, message])
+    #              outputs=[chatbot, history_state, audio_html, tmp_aud_file, message])
+    #
+    # openai_api_key_textbox.change(set_openai_api_key,
+    #                               inputs=[openai_api_key_textbox],
+    #                               outputs=[chain_state, express_chain_state, llm_state])
 
 block.launch(debug=True)