update

app/app.py

@@ -90,6 +90,36 @@ def get_ai_reply(message, model="gpt-3.5-turbo", system_message=None, temperatur
     # Extract and return the AI's response from the API response
     return completion.choices[0].message.content.strip()
 
+def get_ai_image(prompt, size="512x512"):
+    response = openai.Image.create(
+      prompt=prompt,
+      n=1,
+      size=size
+    )
+    image_1_url = response.data[0]['url']
+    return image_1_url
+
+def get_ai_transcript(path_to_audio, language=None):
+    audio_file= open(path_to_audio, "rb")
+    transcript = openai.Audio.transcribe("whisper-1", audio_file, language=language)
+    return transcript.text
+
+def generate_transcription(path_to_audio_file):
+    try:
+        transcript = get_ai_transcript(path_to_audio_file)
+        return transcript
+    except Exception as e:
+        raise gr.Error(e)
+        return ""
+    
+def generate_image(prompt):
+    try:
+        image_url = get_ai_image(prompt)
+        return image_url
+    except Exception as e:
+        raise gr.Error(e)
+        return None
+    
 # Define a function to handle the chat interaction with the AI model
 def chat(model, system_message, message, chatbot_messages, history_state):
     # Initialize chatbot_messages and history_state if they are not provided
@@ -162,6 +192,16 @@ def get_chatbot_app(additional_examples=[]):
                 example_load_btn.click(choose_example, inputs=[example_dropdown], outputs=[system_message, message, chatbot, history_state])
                 # Connect the send button to the chat function
                 btn.click(chat, inputs=[model_selector, system_message, message, chatbot, history_state], outputs=[message, chatbot, history_state])
+        with gr.Tab("Image Generation"):
+            image_prompt = gr.Textbox(label="Prompt", placeholder="A cute puppy wearing sunglasses.")
+            image_btn = gr.Button(value="Generate")
+            image = gr.Image(label="Result", interactive=False, type="filepath")
+            image_btn.click(generate_image, inputs=[image_prompt], outputs=[image])
+        with gr.Tab("Speech-to-text"):
+            audio_file = gr.Audio(label="Audio", source="microphone", type="filepath")
+            transcribe = gr.Button(value="Transcribe")
+            audio_transcript = gr.Textbox(label="Transcription", interactive=False)
+            transcribe.click(generate_transcription, inputs=[audio_file], outputs=[audio_transcript])
         with gr.Tab("Get API Key"):
             email_box = gr.Textbox(label="Email Address", placeholder="Student Email")
             password_box = gr.Textbox(label="Password", type="password", placeholder="Student ID")

student_api.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "4fca2e60",
    "metadata": {},
    "outputs": [],
@@ -12,10 +12,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "a4ffa93a",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Overwriting app/db.py\n"
+     ]
+    }
+   ],
    "source": [
     "%%writefile app/db.py\n",
     "from typing import AsyncGenerator\n",
@@ -71,10 +79,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "d2a08335",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Overwriting app/schemas.py\n"
+     ]
+    }
+   ],
    "source": [
     "%%writefile app/schemas.py\n",
     "import uuid\n",
@@ -96,10 +112,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "9d649fcc",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Overwriting app/users.py\n"
+     ]
+    }
+   ],
    "source": [
     "%%writefile app/users.py\n",
     "import uuid\n",
@@ -174,10 +198,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "id": "d2250413",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Overwriting app/app.py\n"
+     ]
+    }
+   ],
    "source": [
     "%%writefile app/app.py\n",
     "import httpx\n",
@@ -272,6 +304,36 @@
     "    # Extract and return the AI's response from the API response\n",
     "    return completion.choices[0].message.content.strip()\n",
     "\n",
+    "def get_ai_image(prompt, size=\"512x512\"):\n",
+    "    response = openai.Image.create(\n",
+    "      prompt=prompt,\n",
+    "      n=1,\n",
+    "      size=size\n",
+    "    )\n",
+    "    image_1_url = response.data[0]['url']\n",
+    "    return image_1_url\n",
+    "\n",
+    "def get_ai_transcript(path_to_audio, language=None):\n",
+    "    audio_file= open(path_to_audio, \"rb\")\n",
+    "    transcript = openai.Audio.transcribe(\"whisper-1\", audio_file, language=language)\n",
+    "    return transcript.text\n",
+    "\n",
+    "def generate_transcription(path_to_audio_file):\n",
+    "    try:\n",
+    "        transcript = get_ai_transcript(path_to_audio_file)\n",
+    "        return transcript\n",
+    "    except Exception as e:\n",
+    "        raise gr.Error(e)\n",
+    "        return \"\"\n",
+    "    \n",
+    "def generate_image(prompt):\n",
+    "    try:\n",
+    "        image_url = get_ai_image(prompt)\n",
+    "        return image_url\n",
+    "    except Exception as e:\n",
+    "        raise gr.Error(e)\n",
+    "        return None\n",
+    "    \n",
     "# Define a function to handle the chat interaction with the AI model\n",
     "def chat(model, system_message, message, chatbot_messages, history_state):\n",
     "    # Initialize chatbot_messages and history_state if they are not provided\n",
@@ -344,6 +406,16 @@
     "                example_load_btn.click(choose_example, inputs=[example_dropdown], outputs=[system_message, message, chatbot, history_state])\n",
     "                # Connect the send button to the chat function\n",
     "                btn.click(chat, inputs=[model_selector, system_message, message, chatbot, history_state], outputs=[message, chatbot, history_state])\n",
+    "        with gr.Tab(\"Image Generation\"):\n",
+    "            image_prompt = gr.Textbox(label=\"Prompt\", placeholder=\"A cute puppy wearing sunglasses.\")\n",
+    "            image_btn = gr.Button(value=\"Generate\")\n",
+    "            image = gr.Image(label=\"Result\", interactive=False, type=\"filepath\")\n",
+    "            image_btn.click(generate_image, inputs=[image_prompt], outputs=[image])\n",
+    "        with gr.Tab(\"Speech-to-text\"):\n",
+    "            audio_file = gr.Audio(label=\"Audio\", source=\"microphone\", type=\"filepath\")\n",
+    "            transcribe = gr.Button(value=\"Transcribe\")\n",
+    "            audio_transcript = gr.Textbox(label=\"Transcription\", interactive=False)\n",
+    "            transcribe.click(generate_transcription, inputs=[audio_file], outputs=[audio_transcript])\n",
     "        with gr.Tab(\"Get API Key\"):\n",
     "            email_box = gr.Textbox(label=\"Email Address\", placeholder=\"Student Email\")\n",
     "            password_box = gr.Textbox(label=\"Password\", type=\"password\", placeholder=\"Student ID\")\n",
@@ -412,32 +484,49 @@
     "    \n",
     "gradio_gui = get_chatbot_app()\n",
     "gradio_gui.auth = api_login\n",
-    "gradio_gui.auth_message = \"Hello\"\n",
-    "app = gr.mount_gradio_app(app, gradio_gui, path=\"/gradio\")"
+    "gradio_gui.auth_message = \"Welcome, to the 3341 OpenAI Service\"\n",
+    "app = gr.mount_gradio_app(app, gradio_gui, path=\"/\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "id": "f089dfd7",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Overwriting main.py\n"
+     ]
+    }
+   ],
    "source": [
     "%%writefile main.py\n",
-    "import uvicorn\n",
+    "import subprocess\n",
     "\n",
-    "if __name__ == \"__main__\":\n",
-    "    uvicorn.run(f\"app.app:app\", host=\"0.0.0.0\", port=8000, log_level=\"info\")"
+    "subprocess.run(\"uvicorn app.app:app --host 0.0.0.0 --port 7860\", shell=True)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cb53f0ae",
+   "id": "9039be08",
    "metadata": {},
    "outputs": [],
    "source": [
-    "!python -m  pipreqs.pipreqs ."
+    "%%writefile requirements.txt\n",
+    "fastapi==0.95.1\n",
+    "fastapi-users-db-sqlalchemy<5.0.0\n",
+    "gradio==3.27.0\n",
+    "httpx==0.24.0\n",
+    "openai==0.27.4\n",
+    "python-dotenv==1.0.0\n",
+    "Requests==2.28.2\n",
+    "SQLAlchemy==1.4.47\n",
+    "uvicorn==0.21.1\n",
+    "asyncpg==0.27.0"
    ]
   },
   {
@@ -445,17 +534,121 @@
    "execution_count": null,
    "id": "a20f7f8c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32mINFO\u001b[0m:     Started server process [\u001b[36m77691\u001b[0m]\n",
+      "\u001b[32mINFO\u001b[0m:     Waiting for application startup.\n",
+      "\u001b[32mINFO\u001b[0m:     Application startup complete.\n",
+      "\u001b[32mINFO\u001b[0m:     Uvicorn running on \u001b[1mhttp://0.0.0.0:7860\u001b[0m (Press CTRL+C to quit)\n",
+      "\u001b[32mINFO\u001b[0m:     127.0.0.1:58808 - \"\u001b[1mGET / HTTP/1.1\u001b[0m\" \u001b[32m200 OK\u001b[0m\n",
+      "\u001b[32mINFO\u001b[0m:     127.0.0.1:58808 - \"\u001b[1mGET /theme.css HTTP/1.1\u001b[0m\" \u001b[32m200 OK\u001b[0m\n",
+      "\u001b[32mINFO\u001b[0m:     127.0.0.1:58810 - \"\u001b[1mPOST /auth/jwt/login HTTP/1.1\u001b[0m\" \u001b[32m200 OK\u001b[0m\n",
+      "\u001b[32mINFO\u001b[0m:     127.0.0.1:58809 - \"\u001b[1mPOST /login HTTP/1.1\u001b[0m\" \u001b[32m200 OK\u001b[0m\n",
+      "\u001b[32mINFO\u001b[0m:     127.0.0.1:58809 - \"\u001b[1mGET / HTTP/1.1\u001b[0m\" \u001b[32m200 OK\u001b[0m\n",
+      "\u001b[32mINFO\u001b[0m:     127.0.0.1:58809 - \"\u001b[1mGET /theme.css HTTP/1.1\u001b[0m\" \u001b[32m200 OK\u001b[0m\n"
+     ]
+    }
+   ],
    "source": [
     "!python main.py"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "65658ef7",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "User 30d58c0b-04c8-4e55-89e5-878b08472884 has registered.\n",
+      "User created <app.db.User object at 0x1061dec80>\n",
+      "User 2a622947-16bd-4963-abc8-30a3766338c4 has registered.\n",
+      "User created <app.db.User object at 0x1061de440>\n",
+      "User 23e72a35-10e0-469d-8fc6-7b6f1f8fc5a3 has registered.\n",
+      "User created <app.db.User object at 0x1061de470>\n",
+      "User 85bcf4f4-db65-404d-b2ef-e23283462bfa has registered.\n",
+      "User created <app.db.User object at 0x1064ca410>\n",
+      "User 7df12d26-1f30-4b74-9d8c-975d68e0df9f has registered.\n",
+      "User created <app.db.User object at 0x1064c9c60>\n",
+      "User 1cd64c6e-bcde-4009-af24-6bee05e7afd8 has registered.\n",
+      "User created <app.db.User object at 0x1064ca410>\n",
+      "User 88b0449c-e604-4d57-bd0c-797a930efa05 has registered.\n",
+      "User created <app.db.User object at 0x1064cad10>\n",
+      "User 68242f26-a22b-49e8-8b8c-c4475e01dcd4 has registered.\n",
+      "User created <app.db.User object at 0x1064c9b70>\n",
+      "User 61b685a4-3df5-4baf-bb61-b4f93150699f has registered.\n",
+      "User created <app.db.User object at 0x1064cba00>\n",
+      "User 8443d506-859e-4f89-b301-6c08e56d34e1 has registered.\n",
+      "User created <app.db.User object at 0x1064cad10>\n",
+      "User 1adee351-777e-46ff-83be-379db22cc2d7 has registered.\n",
+      "User created <app.db.User object at 0x1064c9b70>\n",
+      "User 5654743e-fd1e-477d-97e0-f4eb138d2935 has registered.\n",
+      "User created <app.db.User object at 0x1064c97b0>\n",
+      "User 57c96dd2-6291-447d-9070-ca9c335798ba has registered.\n",
+      "User created <app.db.User object at 0x1064cbc70>\n",
+      "User 6a105d49-e84f-4d95-98ed-577b4a970854 has registered.\n",
+      "User created <app.db.User object at 0x1064cbb80>\n",
+      "User 6a17151f-60ad-42ae-8fef-2890a77ee0f8 has registered.\n",
+      "User created <app.db.User object at 0x1064c81c0>\n",
+      "User badec4ec-fee6-4832-bb89-1bf1501167ff has registered.\n",
+      "User created <app.db.User object at 0x1064cba90>\n",
+      "User 6c1a749e-fa19-44bd-b937-e508e78866cd has registered.\n",
+      "User created <app.db.User object at 0x1064c9cc0>\n",
+      "User 7c9aa8fe-d3e4-4af3-919a-20294d68fc4b has registered.\n",
+      "User created <app.db.User object at 0x1064c92d0>\n",
+      "User a93183b3-5aa1-4e06-a78f-a47be0b2bba1 has registered.\n",
+      "User created <app.db.User object at 0x1064cab00>\n",
+      "User 3abc7ae3-0185-4742-bf1d-f3749cecb199 has registered.\n",
+      "User created <app.db.User object at 0x1064cb850>\n",
+      "User e6e9eda6-80e2-40bd-be8c-4d371deddb4e has registered.\n",
+      "User created <app.db.User object at 0x1064c9780>\n",
+      "User a3587907-b38f-4291-8153-34d480d8ebfe has registered.\n",
+      "User created <app.db.User object at 0x1064cab00>\n",
+      "User 4de62323-12ba-41cc-bd72-60a53117236e has registered.\n",
+      "User created <app.db.User object at 0x1064c9510>\n",
+      "User fa7ae58a-e5d4-4495-9aec-d10f1076b291 has registered.\n",
+      "User created <app.db.User object at 0x1064c9240>\n",
+      "User a3d49925-470c-485b-85c7-b881fc6103bd has registered.\n",
+      "User created <app.db.User object at 0x1064cad10>\n",
+      "User 1aded816-081c-4c16-b6fb-5a8514acecbd has registered.\n",
+      "User created <app.db.User object at 0x1064c9930>\n",
+      "User c05807bb-5e02-4e9d-a5dd-870b40beeab9 has registered.\n",
+      "User created <app.db.User object at 0x1061de830>\n",
+      "User e3840eef-2ccc-43e8-bb98-f67e1d78d595 has registered.\n",
+      "User created <app.db.User object at 0x1064ca860>\n",
+      "User 177862c8-f84a-4e9a-8a11-325c1af34476 has registered.\n",
+      "User created <app.db.User object at 0x106222cb0>\n",
+      "User 833a7089-f258-4261-86a9-6aa874ccc7b2 has registered.\n",
+      "User created <app.db.User object at 0x106223040>\n",
+      "User c9f0147c-b880-4814-a272-3c91625ebfe2 has registered.\n",
+      "User created <app.db.User object at 0x106222cb0>\n",
+      "User 182b4c76-2cba-407c-965c-eea8ec17ef6f has registered.\n",
+      "User created <app.db.User object at 0x106223880>\n",
+      "User c79f3346-cf21-4e41-8393-c36aaeab67fe has registered.\n",
+      "User created <app.db.User object at 0x106223e50>\n",
+      "User 610705ed-b7ac-4296-b566-db6bdf642f5a has registered.\n",
+      "User created <app.db.User object at 0x106223ca0>\n",
+      "User 09817885-888b-4be9-9d20-fd03366f6791 has registered.\n",
+      "User created <app.db.User object at 0x106223880>\n",
+      "User 5c38dc47-7c00-4d68-ac7c-9ec2c7c4a6ea has registered.\n",
+      "User created <app.db.User object at 0x1064c88b0>\n",
+      "User 1009694f-b1e4-4751-a59c-a8ed757f76f1 has registered.\n",
+      "User created <app.db.User object at 0x1064c9ae0>\n",
+      "User b5fb3dbc-a8c0-4221-897f-9eb87ff29ced has registered.\n",
+      "User created <app.db.User object at 0x1064cba30>\n",
+      "User 3269239e-e87b-4f6f-9539-4d7fffc1d9a1 has registered.\n",
+      "User created <app.db.User object at 0x1064c9f00>\n",
+      "User 59bb7f37-d029-47a1-8bbd-37adae350fed has registered.\n",
+      "User created <app.db.User object at 0x1064c9ae0>\n"
+     ]
+    }
+   ],
    "source": [
     "import contextlib\n",
     "\n",
@@ -494,6 +687,36 @@
     "            await create_user(email=email, password=password)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "406b1bd5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!git add app"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4849ce67",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!git add requirements.txt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "54c436ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!git add main.py"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -503,6 +726,62 @@
    "source": [
     "!git commit -m \"adding chatbot\""
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bda07f88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip -q install --upgrade huggingface_hub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39516b2a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from huggingface_hub import notebook_login\n",
+    "notebook_login()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "83bdbe1d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!git remote add huggingface https://huggingface.co/spaces/ericmichael/openai-playground-utrgv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "db9d1e70",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Enumerating objects: 19, done.\n",
+      "Counting objects: 100% (19/19), done.\n",
+      "Delta compression using up to 8 threads\n",
+      "Compressing objects: 100% (18/18), done.\n",
+      "Writing objects: 100% (19/19), 13.39 KiB | 6.70 MiB/s, done.\n",
+      "Total 19 (delta 3), reused 0 (delta 0), pack-reused 0\n",
+      "error: RPC failed; curl 92 HTTP/2 stream 0 was not closed cleanly: INTERNAL_ERROR (err 2)\n",
+      "Everything up-to-date\n"
+     ]
+    }
+   ],
+   "source": [
+    "!git push --force huggingface main"
+   ]
   }
  ],
  "metadata": {