included Send button

app.py

@@ -100,9 +100,16 @@ import time
 with gr.Blocks() as demo:
     chatbot = gr.Chatbot()
     gr.Chatbot.style(chatbot,height=300)
-    msg = gr.Textbox(info="Press \'Enter\' to send")
+    with gr.Row():
+        with gr.Column(scale=0.98):
+            msg = gr.Textbox(
+                show_label=False,
+                placeholder=random.choice(["Disclaimer: IT WILL CUSS YOU.", "Be careful with Punctuations like ? \" ! , \' .", "Enter text and press enter"])
+            ).style(container=False)
+        with gr.Column(scale=0.1, min_width=0):
+            sub = gr.Button("Send")
     clear = gr.Button("Clear")
-
+    
     def user(user_message, history):
         return "", history + [[user_message, None]]
 
@@ -117,7 +124,10 @@ with gr.Blocks() as demo:
     msg.submit(user, [msg, chatbot], [msg, chatbot], queue=True).then(
         bot, chatbot, chatbot
     )
+    sub.click(user, [msg, chatbot], [msg, chatbot], queue=True).then(
+        bot, chatbot, chatbot
+    )
     clear.click(lambda: None, None, chatbot, queue=True)
 
-demo.queue(concurrency_count=2)
+demo.queue(concurrency_count=1)
 demo.launch()

Untitled.ipynb → app_testing_notebook.ipynb

@@ -121,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 71,
    "id": "e9d96844",
    "metadata": {},
    "outputs": [
@@ -129,7 +129,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Lightning automatically upgraded your loaded checkpoint from v1.9.3 to v2.0.2. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint --file F:\\Projects & Open_source\\Chatbot_T5_kaggle\\best-model.ckpt`\n"
+      "Lightning automatically upgraded your loaded checkpoint from v1.9.4 to v2.0.2. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint --file F:\\Projects & Open_source\\Chatbot_T5_kaggle\\Sarcastic_chatbot\\best-model.ckpt`\n"
      ]
     }
    ],
@@ -139,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 72,
    "id": "3449943f",
    "metadata": {},
    "outputs": [],
@@ -149,7 +149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 73,
    "id": "0e9f1058",
    "metadata": {},
    "outputs": [],
@@ -189,7 +189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 74,
    "id": "ee38a88c",
    "metadata": {},
    "outputs": [
@@ -197,20 +197,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Ques:  hi, how are you doing?\n",
-      "BOT:  i'm so glad you're doing well.\n"
+      "Ques:  who is elon musk?\n",
+      "BOT:  He's a shitlord.\n"
      ]
     }
    ],
    "source": [
-    "ques = \"hi, how are you doing?\"\n",
+    "ques = \"who is elon musk?\"\n",
     "print(\"Ques: \",ques)\n",
     "print(\"BOT: \",generate_question(ques))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 75,
    "id": "22aa4414",
    "metadata": {},
    "outputs": [
@@ -218,7 +218,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7861\n",
+      "Running on local URL:  http://127.0.0.1:7904\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -226,7 +226,7 @@
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"http://127.0.0.1:7904/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -239,7 +239,7 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 11,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -248,13 +248,30 @@
     "import gradio as gr\n",
     "import random\n",
     "import time\n",
+    "#from transformers import pipeline\n",
+    "\n",
+    "#p = pipeline(\"automatic-speech-recognition\")\n",
     "\n",
     "with gr.Blocks() as demo:\n",
     "    chatbot = gr.Chatbot()\n",
-    "    gr.Chatbot.style(chatbot,height=400)\n",
-    "    msg = gr.Textbox(info=\"Press \\'Enter\\' to send\")\n",
+    "    #gr.Chatbot.style(chatbot,height=400)\n",
+    "    with gr.Row():\n",
+    "        with gr.Column(scale=0.98):\n",
+    "            msg = gr.Textbox(\n",
+    "                show_label=False,\n",
+    "                placeholder=random.choice([\"Disclaimer: IT WILL CUSS YOU.\", \"Be careful with Punctuations like ? \\\" ! , \\' .\", \"Enter text and press enter\"])\n",
+    "            ).style(container=False)\n",
+    "        with gr.Column(scale=0.1, min_width=0):\n",
+    "            sub = gr.Button(\"Send\")\n",
+    "        #with gr.Column(scale=0.1, min_width=0):\n",
+    "        #    speech = gr.Audio(source=\"microphone\", type=\"filepath\", streaming=True)\n",
     "    clear = gr.Button(\"Clear\")\n",
-    "\n",
+    "    \n",
+    "    #def transcribe(audio, state=\"\"):\n",
+    "    #    text = p(audio)[\"text\"]\n",
+    "    #    state += text + \" \"\n",
+    "    #    return state, state\n",
+    "    \n",
     "    def user(user_message, history):\n",
     "        return \"\", history + [[user_message, None]]\n",
     "\n",
@@ -265,13 +282,17 @@
     "            history[-1][1] += character\n",
     "            time.sleep(0.05)\n",
     "            yield history\n",
-    "\n",
+    "    \n",
     "    msg.submit(user, [msg, chatbot], [msg, chatbot], queue=True).then(\n",
     "        bot, chatbot, chatbot\n",
     "    )\n",
+    "    sub.click(user, [msg, chatbot], [msg, chatbot], queue=True).then(\n",
+    "        bot, chatbot, chatbot\n",
+    "    )\n",
+    "    #speech.change(transcribe, [speech,\"state\"],[msg,\"state\"])\n",
     "    clear.click(lambda: None, None, chatbot, queue=True)\n",
     "\n",
-    "demo.queue(concurrency_count=2)\n",
+    "demo.queue(concurrency_count=1)\n",
     "demo.launch()"
    ]
   },