FIX: Add small fixes

app.py

@@ -114,7 +114,7 @@ def bot_respond(user_query, history: list):
     context = context_format(qnas)
     prompt += context
 
-    chat_messages.append({"role": "user", "content": user_query})
+    chat_messages.append({"role": "user", "content": prompt})
 
     completion = openai.ChatCompletion.create(
         model="gpt-4", messages=chat_messages, temperature=0
@@ -196,6 +196,7 @@ def handle_audiofile(audio_filepath: str, history: list):
             res["prompt"],
             display_history(history["chat_messages"]),
             res["mp3_path"],
+            "runtime_questions.json",
         )
     else:
         bot_response_text = res["bot_response"]
@@ -260,7 +261,7 @@ with gr.Blocks() as demo:
         conversation_history = gr.Textbox(label="Conversation history")
 
     with gr.Row():
-        file_output = gr.File(label="Download questions file", download=True)
+        file_output = gr.File(label="Download questions file")
 
     # when the audio input is stopped, run the transcribe function
     audio_input.stop_recording(

bot_gradio.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,17 +64,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Conversation conversations/3331\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from langdetect import detect\n",
     "import random\n",
@@ -158,7 +150,7 @@
     "    context = context_format(qnas)\n",
     "    prompt += context\n",
     "\n",
-    "    chat_messages.append({\"role\": \"user\", \"content\": user_query})\n",
+    "    chat_messages.append({\"role\": \"user\", \"content\": prompt})\n",
     "\n",
     "    completion = openai.ChatCompletion.create(\n",
     "        model=\"gpt-4\", messages=chat_messages, temperature=0\n",
@@ -198,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -218,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -251,6 +243,7 @@
     "            res[\"prompt\"],\n",
     "            display_history(history[\"chat_messages\"]),\n",
     "            res[\"mp3_path\"],\n",
+    "            \"runtime_questions.json\",\n",
     "        )\n",
     "    else:\n",
     "        bot_response_text = res[\"bot_response\"]\n",
@@ -288,54 +281,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\LeonidTanas\\source\\BiogenaProject\\PhoneBot\\.env\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
-      "  from .autonotebook import tqdm as notebook_tqdm\n",
-      "C:\\Users\\LeonidTanas\\AppData\\Local\\Temp\\ipykernel_20200\\2772520277.py:26: GradioUnusedKwargWarning: You have unused kwarg parameters in File, please remove them: {'download': True}\n",
-      "  file_output = gr.File(label=\"Download questions file\", download=True)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Running on local URL:  http://127.0.0.1:7860\n",
-      "Running on public URL: https://21d8b4f54c5ce2bb30.gradio.live\n",
-      "\n",
-      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": []
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Transcription Hello, my name is Leo.\n",
-      "Querying database for question: Hello, my name is Leo.\n",
-      "\n",
-      "Total_qnas: 3 [0.43892043828964233, 0.44170859456062317, 0.4578746557235718]\n",
-      "Filtered_qnas: 3\n",
-      "Querying database for question: Hello, my name is Leo.\n",
-      "source == 'base'\n",
-      "Total_qnas: 1 [0.43892043828964233]\n",
-      "Filtered_qnas: 1\n",
-      "Detected language: en for text: Hello Leo! How can I assist you today?\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import gradio as gr\n",
     "\n",
@@ -362,7 +310,7 @@
     "        conversation_history = gr.Textbox(label=\"Conversation history\")\n",
     "\n",
     "    with gr.Row():\n",
-    "        file_output = gr.File(label=\"Download questions file\", download=True)\n",
+    "        file_output = gr.File(label=\"Download questions file\")\n",
     "\n",
     "    # when the audio input is stopped, run the transcribe function\n",
     "    audio_input.stop_recording(\n",
@@ -381,13 +329,6 @@
     "\n",
     "demo.launch(share=True, inbrowser=True, inline=False)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {