Delete app.py

app.py

@@ -1,192 +0,0 @@
-from pyChatGPT import ChatGPT
-import gradio as gr
-import os, json
-from loguru import logger
-import random
-from transformers import pipeline
-import torch
-
-session_token = os.environ.get('SessionToken')      
-# logger.info(f"session_token_: {session_token}")
-api = ChatGPT(session_token)
-
-device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-
-whisper_model = pipeline(
-    task="automatic-speech-recognition",
-    model="openai/whisper-large-v2",
-    chunk_length_s=30,
-    device=device,
-)
-
-all_special_ids = whisper_model.tokenizer.all_special_ids
-transcribe_token_id = all_special_ids[-5]
-translate_token_id = all_special_ids[-6]
-
-def translate_or_transcribe(audio, task):
-    whisper_model.model.config.forced_decoder_ids = [[2, transcribe_token_id if task=="Transcribe in Spoken Language" else translate_token_id]]
-    text = whisper_model(audio)["text"]
-    return text
-    
-def get_response_from_chatbot(text):
-    try:
-        if reset_conversation:
-            api.refresh_auth() 
-            api.reset_conversation() 
-        resp = api.send_message(text)    
-        response = resp['message']
-      # logger.info(f"response_: {response}")
-    except:
-        response = "Sorry, chatGPT queue is full. Please try again in some time"
-    return response
-
-def chat(message, chat_history):      
-    out_chat = []
-    if chat_history != '':
-        out_chat = json.loads(chat_history)
-    response = get_response_from_chatbot(message)
-    out_chat.append((message, response))
-    chat_history = json.dumps(out_chat)
-    logger.info(f"out_chat_: {len(out_chat)}")
-    return out_chat, chat_history
-
-start_work = """async() => {
-    function isMobile() {
-        try {
-            document.createEvent("TouchEvent"); return true;
-        } catch(e) {
-            return false; 
-        }
-    }
-	function getClientHeight()
-	{
-	  var clientHeight=0;
-	  if(document.body.clientHeight&&document.documentElement.clientHeight) {
-		var clientHeight = (document.body.clientHeight<document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight;
-	  } else {
-		var clientHeight = (document.body.clientHeight>document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight;
-	  }
-	  return clientHeight;
-	}
- 
-    function setNativeValue(element, value) {
-      const valueSetter = Object.getOwnPropertyDescriptor(element.__proto__, 'value').set;
-      const prototype = Object.getPrototypeOf(element);
-      const prototypeValueSetter = Object.getOwnPropertyDescriptor(prototype, 'value').set;
-      
-      if (valueSetter && valueSetter !== prototypeValueSetter) {
-            prototypeValueSetter.call(element, value);
-      } else {
-            valueSetter.call(element, value);
-      }
-    }
-    var gradioEl = document.querySelector('body > gradio-app').shadowRoot;
-    if (!gradioEl) {
-        gradioEl = document.querySelector('body > gradio-app');
-    }
-    
-    if (typeof window['gradioEl'] === 'undefined') {
-        window['gradioEl'] = gradioEl;
-       
-        const page1 = window['gradioEl'].querySelectorAll('#page_1')[0];
-        const page2 = window['gradioEl'].querySelectorAll('#page_2')[0]; 
-    
-        page1.style.display = "none";
-        page2.style.display = "block"; 
-        window['div_count'] = 0;
-        window['chat_bot'] = window['gradioEl'].querySelectorAll('#chat_bot')[0];
-        window['chat_bot1'] = window['gradioEl'].querySelectorAll('#chat_bot1')[0];   
-        chat_row = window['gradioEl'].querySelectorAll('#chat_row')[0]; 
-        prompt_row = window['gradioEl'].querySelectorAll('#prompt_row')[0]; 
-        window['chat_bot1'].children[1].textContent = '';
-        
-        clientHeight = getClientHeight();
-        new_height = (clientHeight-300) + 'px';
-        chat_row.style.height = new_height;
-        window['chat_bot'].style.height = new_height;
-        window['chat_bot'].children[2].style.height = new_height;
-        window['chat_bot1'].style.height = new_height;
-        window['chat_bot1'].children[2].style.height = new_height;
-        prompt_row.children[0].style.flex = 'auto';
-        prompt_row.children[0].style.width = '100%';
-        
-        window['checkChange'] = function checkChange() {
-            try {
-                if (window['chat_bot'].children[2].children[0].children.length > window['div_count']) {
-                    new_len = window['chat_bot'].children[2].children[0].children.length - window['div_count'];
-                    for (var i = 0; i < new_len; i++) { 
-                        new_div = window['chat_bot'].children[2].children[0].children[window['div_count'] + i].cloneNode(true);
-                        window['chat_bot1'].children[2].children[0].appendChild(new_div);
-                    }
-                    window['div_count'] = chat_bot.children[2].children[0].children.length;
-                }
-                if (window['chat_bot'].children[0].children.length > 1) {
-                     window['chat_bot1'].children[1].textContent = window['chat_bot'].children[0].children[1].textContent;
-                } else {
-                    window['chat_bot1'].children[1].textContent = '';
-                }
-              
-            } catch(e) {
-            }        
-        }
-        window['checkChange_interval'] = window.setInterval("window.checkChange()", 500);         
-    }
-   
-    return false;
-}"""
-
-
-with gr.Blocks(title='Talk to chatGPT') as demo:
-    gr.Markdown("## Talk to chatGPT with your voice in your native language ! ##")
-    gr.HTML("<p>You can duplicate this space and use your own session token: <a style='display:inline-block' href='https://huggingface.co/spaces/yizhangliu/chatGPT?duplicate=true'><img src='https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14' alt='Duplicate Space'></a></p>")
-    gr.HTML("<p> Instruction on how to get session token can be seen in video <a style='display:inline-block' href='https://www.youtube.com/watch?v=TdNSj_qgdFk'><font style='color:blue;weight:bold;'>here</font></a>. Add your session token by going to settings and add under secrets. </p>")
-    with gr.Group(elem_id="page_1", visible=True) as page_1:
-        with gr.Box():            
-            with gr.Row():
-                start_button = gr.Button("Let's talk to chatGPT!", elem_id="start-btn", visible=True) 
-                start_button.click(fn=None, inputs=[], outputs=[], _js=start_work)
-                
-    with gr.Group(elem_id="page_2", visible=False) as page_2:        
-        with gr.Row(elem_id="chat_row"):
-            chatbot = gr.Chatbot(elem_id="chat_bot", visible=False).style(color_map=("green", "blue"))
-            chatbot1 = gr.Chatbot(elem_id="chat_bot1").style(color_map=("green", "blue"))    
-        with gr.Row():
-            prompt_input_audio = gr.Audio(
-                                        source="microphone",
-                                        type="filepath",
-                                        label="Record Audio Input",
-                                        
-                                    )
-            translate_btn = gr.Button("Check Whisper first ? 👍")
-
-        reset_conversation = gr.Checkbox(label="Reset conversation?", value=False)
-        whisper_task = gr.Radio(["Translate to English", "Transcribe in Spoken Language"], value="Translate to English", show_label=False)
-        with gr.Row(elem_id="prompt_row"):
-            prompt_input = gr.Textbox(lines=2, label="Input text",show_label=True)
-            chat_history = gr.Textbox(lines=4, label="prompt", visible=False)
-            submit_btn = gr.Button(value = "Send to chatGPT",elem_id="submit-btn").style(
-                    margin=True,
-                    rounded=(True, True, True, True),
-                    width=100
-                )
-            
-             
-
-        translate_btn.click(fn=translate_or_transcribe, 
-                         inputs=[prompt_input_audio,whisper_task], 
-                         outputs=prompt_input
-                        )
-            
-        submit_btn.click(fn=chat, 
-                             inputs=[prompt_input, chat_history], 
-                             outputs=[chatbot, chat_history],
-                            )
-    gr.HTML('''
-        <div class="footer">
-                    <p>Whisper Model by <a href="https://github.com/openai/whisper" style="text-decoration: underline;" target="_blank">OpenAI</a> -   
-                    <a href="https://chat.openai.com/chat" target="_blank">chatGPT</a> by <a href="https://openai.com/" style="text-decoration: underline;" target="_blank">OpenAI</a> 
-                    </p>
-        </div>
-        ''')
-
-demo.launch(debug = True)