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{
"cells": [
{
"cell_type": "code",
"execution_count": 4,
"id": "f720b88f-253c-43be-868a-a7abe028fa3e",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2025-02-28 17:59:44,881 - __main__ - INFO - Starting Gradio interface...\n",
"2025-02-28 17:59:44,990 - httpx - INFO - HTTP Request: GET http://127.0.0.1:7860/gradio_api/startup-events \"HTTP/1.1 200 OK\"\n",
"2025-02-28 17:59:45,008 - httpx - INFO - HTTP Request: HEAD http://127.0.0.1:7860/ \"HTTP/1.1 200 OK\"\n",
"2025-02-28 17:59:45,029 - httpx - INFO - HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on local URL: http://127.0.0.1:7860\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2025-02-28 17:59:45,271 - httpx - INFO - HTTP Request: GET https://api.gradio.app/v3/tunnel-request \"HTTP/1.1 200 OK\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on public URL: https://330105ecb2254dfaaf.gradio.live\n",
"\n",
"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2025-02-28 17:59:45,933 - httpx - INFO - HTTP Request: HEAD https://330105ecb2254dfaaf.gradio.live \"HTTP/1.1 200 OK\"\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"https://330105ecb2254dfaaf.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2025-02-28 18:07:54,705 - __main__ - INFO - Successfully added character: Yoda from Star wars\n",
"2025-02-28 18:08:25,224 - __main__ - INFO - Saved conversation with chat_id: 29de7618-714a-425b-a248-257bcf6e7a90\n",
"2025-02-28 18:08:33,946 - __main__ - INFO - Saved conversation with chat_id: d709edd3-6e65-4c8a-8882-605690dba50e\n",
"2025-02-28 18:08:47,947 - __main__ - INFO - Saved conversation with chat_id: 041814d9-efa8-4997-bd2c-0dd92f9ead1f\n",
"2025-02-28 18:09:28,278 - __main__ - INFO - Saved conversation with chat_id: eeb220d5-a02d-41fb-974a-b644abb9485a\n",
"2025-02-28 18:11:57,676 - __main__ - INFO - Saved conversation with chat_id: f8bd150a-3cfd-4b19-8a97-0efd27a00ad9\n",
"2025-02-28 18:14:41,302 - __main__ - INFO - Saved conversation with chat_id: f349383d-9639-4bc0-9a9c-96eaead27986\n",
"2025-02-28 18:16:25,573 - __main__ - INFO - Saved conversation with chat_id: d3f6dd09-1743-460a-a6e5-b9611f04a808\n",
"2025-02-28 18:16:57,223 - __main__ - INFO - Saved conversation with chat_id: 99cd44f0-1489-4826-b07a-af1d5e6e3d73\n",
"2025-02-28 18:17:02,278 - __main__ - INFO - Saved conversation with chat_id: 4bb62b0d-456e-4932-97a1-ddc326afb963\n",
"2025-02-28 18:17:08,259 - __main__ - INFO - Saved conversation with chat_id: b318c125-52c7-49cd-9413-e59f2d2b9c35\n",
"2025-02-28 18:17:22,582 - __main__ - INFO - Saved conversation with chat_id: 78150400-ddc4-4cbe-8383-4709c99d3cd2\n",
"2025-02-28 18:17:47,131 - __main__ - INFO - Saved conversation with chat_id: 313f1a44-c229-48a1-86e2-08f07c2e7f06\n",
"2025-02-28 18:20:37,173 - __main__ - INFO - Saved conversation with chat_id: a6f4bc2b-16b5-443d-9827-774c4d7b91bd\n"
]
}
],
"source": [
"import os\n",
"from flask import Flask\n",
"from flask_sqlalchemy import SQLAlchemy\n",
"from dotenv import load_dotenv\n",
"import gradio as gr\n",
"import requests\n",
"from contextlib import contextmanager\n",
"from datetime import datetime\n",
"import uuid\n",
"import logging\n",
"import speech_recognition as sr\n",
"from moviepy import VideoFileClip\n",
"\n",
"# Configure logging\n",
"logging.basicConfig(level=logging.INFO,\n",
" format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')\n",
"logger = logging.getLogger(__name__)\n",
"\n",
"# Load environment variables\n",
"load_dotenv()\n",
"\n",
"# Initialize Flask app and SQLAlchemy\n",
"app = Flask(__name__)\n",
"app.config['SQLALCHEMY_DATABASE_URI'] = os.getenv('DATABASE_URL', 'sqlite:///conversations.db')\n",
"app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False\n",
"db = SQLAlchemy(app)\n",
"\n",
"# Set Gemini API key\n",
"gemini_api_key = \"AIzaSyBZNNb9t18a0RVBPtch0knP3nlSNWWu4BA\" # Replace with your actual API key\n",
"gemini_api_url = \"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent\"\n",
"\n",
"# Database models\n",
"class Character(db.Model):\n",
" id = db.Column(db.Integer, primary_key=True)\n",
" name = db.Column(db.String(100), nullable=False, unique=True)\n",
" description = db.Column(db.Text, nullable=False)\n",
" prompt_template = db.Column(db.Text, nullable=False)\n",
"\n",
"class Conversation(db.Model):\n",
" __tablename__ = 'conversation'\n",
" \n",
" id = db.Column(db.Integer, primary_key=True)\n",
" character_id = db.Column(db.Integer, db.ForeignKey('character.id'), nullable=False)\n",
" user_input = db.Column(db.Text, nullable=True)\n",
" bot_response = db.Column(db.Text, nullable=False)\n",
" timestamp = db.Column(db.DateTime, default=datetime.utcnow)\n",
" chat_id = db.Column(db.String(36), nullable=True)\n",
" user_id = db.Column(db.Integer, nullable=False)\n",
"\n",
"@contextmanager\n",
"def app_context():\n",
" with app.app_context():\n",
" yield\n",
"\n",
"def add_predefined_characters():\n",
" with app_context():\n",
" characters = [\n",
" {\n",
" \"name\": \"Chuck the Clown\",\n",
" \"description\": \"A funny clown who tells jokes and entertains.\",\n",
" \"prompt_template\": \"You are Chuck the Clown, always ready with a joke and entertainment. Be upbeat, silly, and include jokes in your responses.\"\n",
" },\n",
" {\n",
" \"name\": \"Sarcastic Pirate\",\n",
" \"description\": \"A pirate with a sharp tongue and a love for treasure.\",\n",
" \"prompt_template\": \"You are a Sarcastic Pirate, ready to share your tales of adventure. Use pirate slang, be witty, sarcastic, and mention your love for treasure and the sea.\"\n",
" },\n",
" {\n",
" \"name\": \"Professor Sage\",\n",
" \"description\": \"A wise professor knowledgeable about many subjects.\",\n",
" \"prompt_template\": \"You are Professor Sage, sharing wisdom and knowledge. Be scholarly, thoughtful, and provide educational information in your responses.\"\n",
" }\n",
" ]\n",
"\n",
" for char_data in characters:\n",
" if not Character.query.filter_by(name=char_data[\"name\"]).first():\n",
" new_character = Character(\n",
" name=char_data[\"name\"],\n",
" description=char_data[\"description\"],\n",
" prompt_template=char_data[\"prompt_template\"]\n",
" )\n",
" db.session.add(new_character)\n",
" logger.info(f\"Adding predefined character: {char_data['name']}\")\n",
" \n",
" try:\n",
" db.session.commit()\n",
" except Exception as e:\n",
" db.session.rollback()\n",
" logger.error(f\"Error adding predefined characters: {e}\")\n",
"\n",
"def add_character(name, description, prompt_template):\n",
" with app_context():\n",
" try:\n",
" if Character.query.filter_by(name=name).first():\n",
" return f\"Character '{name}' already exists!\"\n",
"\n",
" new_character = Character(\n",
" name=name,\n",
" description=description,\n",
" prompt_template=prompt_template\n",
" )\n",
" db.session.add(new_character)\n",
" db.session.commit()\n",
" logger.info(f\"Successfully added character: {name}\")\n",
" return f\"Character '{name}' added successfully!\\nDescription: {description}\"\n",
" \n",
" except Exception as e:\n",
" db.session.rollback()\n",
" logger.error(f\"Error adding character: {e}\")\n",
" return f\"An error occurred while adding the character: {str(e)}\"\n",
"\n",
"def get_existing_characters():\n",
" with app_context():\n",
" try:\n",
" characters = Character.query.all()\n",
" return [(char.name, char.description) for char in characters]\n",
" except Exception as e:\n",
" logger.error(f\"Error retrieving characters: {e}\")\n",
" return [(\"Error retrieving characters\", str(e))]\n",
"\n",
"def chat_with_character(character_name, user_input, user_id, chat_id=None):\n",
" with app_context():\n",
" try:\n",
" character = Character.query.filter_by(name=character_name).first()\n",
" \n",
" if not character:\n",
" return \"Character not found.\", None\n",
" \n",
" if not chat_id:\n",
" chat_id = str(uuid.uuid4())\n",
" \n",
" # Retrieve previous conversations for context\n",
" previous_conversations = Conversation.query.filter_by(user_id=user_id).order_by(Conversation.timestamp).all()\n",
" context_prompt = \" \".join([f\"User: {conv.user_input}\\nBot: {conv.bot_response}\" for conv in previous_conversations])\n",
" prompt_template = character.prompt_template\n",
" full_prompt = f\"{prompt_template}\\n{context_prompt}\\nUser: {user_input}\\nBot:\"\n",
"\n",
" payload = {\n",
" \"contents\": [{\n",
" \"parts\": [{\"text\": full_prompt}]\n",
" }]\n",
" }\n",
"\n",
" headers = {\n",
" 'Content-Type': 'application/json'\n",
" }\n",
"\n",
" response = requests.post(\n",
" gemini_api_url,\n",
" headers=headers,\n",
" json=payload,\n",
" params={'key': gemini_api_key}\n",
" )\n",
"\n",
" if response.status_code == 200:\n",
" response_data = response.json()\n",
" if 'candidates' in response_data and len(response_data['candidates']) > 0:\n",
" bot_response = response_data['candidates'][0]['content']['parts'][0]['text']\n",
" \n",
" conversation = Conversation(\n",
" character_id=character.id,\n",
" user_input=user_input,\n",
" bot_response=bot_response,\n",
" chat_id=chat_id,\n",
" user_id=user_id\n",
" )\n",
" db.session.add(conversation)\n",
" db.session.commit()\n",
" logger.info(f\"Saved conversation with chat_id: {chat_id}\")\n",
" return bot_response, chat_id\n",
" else:\n",
" return \"An error occurred while generating content: Unexpected response format.\", chat_id\n",
" else:\n",
" logger.error(f\"Error from Gemini API: {response.json()}\")\n",
" return f\"An error occurred while generating content: {response.status_code} - {response.text}\", chat_id\n",
"\n",
" except Exception as e:\n",
" logger.error(f\"Unexpected error in chat_with_character: {e}\")\n",
" return f\"An unexpected error occurred: {str(e)}\", chat_id\n",
"\n",
"def speech_to_text(audio_file):\n",
" \"\"\"Convert audio file to text using SpeechRecognition.\"\"\"\n",
" recognizer = sr.Recognizer()\n",
" with sr.AudioFile(audio_file) as source:\n",
" audio_data = recognizer.record(source)\n",
" try:\n",
" return recognizer.recognize_google(audio_data)\n",
" except sr.UnknownValueError:\n",
" logger.error(\"Could not understand audio\")\n",
" return None\n",
" except sr.RequestError as e:\n",
" logger.error(f\"Could not request results from Google Speech Recognition service; {e}\")\n",
" return None\n",
"\n",
"def extract_audio_from_video(video_file):\n",
" \"\"\"Extract audio from video and return the audio file path.\"\"\"\n",
" audio_file_path = \"temp_audio.wav\" # Temporary file name\n",
" try:\n",
" with VideoFileClip(video_file) as video:\n",
" video.audio.write_audiofile(audio_file_path)\n",
" except Exception as e:\n",
" logger.error(f\"Error extracting audio from video: {e}\")\n",
" return None # Return None if there's an error\n",
" return audio_file_path\n",
"\n",
"def get_chat_history(user_id):\n",
" \"\"\"Retrieve chat history for a specific user ID.\"\"\"\n",
" with app_context():\n",
" conversations = Conversation.query.filter_by(user_id=user_id).order_by(Conversation.timestamp).all()\n",
" return conversations if conversations else [] # Return empty list if no conversations\n",
"\n",
"def create_interface():\n",
" with app.app_context():\n",
" add_predefined_characters() # Add predefined characters if needed\n",
" \n",
" with gr.Blocks(title=\"Character Chat System\", theme=gr.themes.Default()) as iface:\n",
" current_chat_id = gr.State(value=None) # State to track the current chat ID\n",
" user_id = gr.State(value=None) # State to track user ID\n",
" chat_messages = gr.State(value=[]) # State to store chat messages\n",
" \n",
" gr.Markdown(\n",
" \"# 🎭 Character Chat System 🎭\",\n",
" elem_id=\"title\"\n",
" )\n",
" \n",
" with gr.Tab(\"Sign In\"):\n",
" user_id_input = gr.Textbox(label=\"User ID\", placeholder=\"Enter your User ID\", elem_id=\"user_id_input\", interactive=True, lines=2)\n",
" sign_in_btn = gr.Button(\"Sign In\", variant=\"primary\")\n",
" sign_in_response = gr.Textbox(label=\"Sign In Response\", interactive=False)\n",
"\n",
" def sign_in(user_id_input):\n",
" user_id.value = user_id_input\n",
" return f\"Welcome, {user_id_input}!\", user_id_input\n",
" \n",
" sign_in_btn.click(\n",
" fn=sign_in,\n",
" inputs=[user_id_input],\n",
" outputs=[sign_in_response]\n",
" )\n",
"\n",
" with gr.Tab(\"Admin: Add Character\"):\n",
" with gr.Row():\n",
" with gr.Column():\n",
" name_input = gr.Textbox(label=\"Character Name\", placeholder=\"Enter character name\", elem_id=\"name_input\")\n",
" description_input = gr.Textbox(label=\"Character Description\", placeholder=\"Enter character description\", elem_id=\"description_input\")\n",
" prompt_input = gr.Textbox(label=\"Prompt Template\", placeholder=\"Enter character prompt template\", elem_id=\"prompt_input\", lines=3)\n",
" add_character_btn = gr.Button(\"Add Character\", elem_id=\"add_character_btn\", variant=\"primary\")\n",
" add_character_response = gr.Textbox(label=\"Response\", interactive=False, elem_id=\"response_output\")\n",
"\n",
" add_character_btn.click(\n",
" fn=add_character,\n",
" inputs=[name_input, description_input, prompt_input],\n",
" outputs=[add_character_response]\n",
" )\n",
" \n",
" with gr.Column():\n",
" gr.Markdown(\"## 🌟 Existing Characters 🌟\", elem_id=\"existing_chars_title\")\n",
" existing_characters = get_existing_characters()\n",
" \n",
" character_list = gr.Dataframe(\n",
" value=existing_characters,\n",
" headers=[\"Name\", \"Description\"],\n",
" interactive=False,\n",
" elem_id=\"character_list\"\n",
" )\n",
" \n",
" refresh_characters_btn = gr.Button(\"Refresh Character List\")\n",
" \n",
" def refresh_characters():\n",
" return gr.update(value=get_existing_characters())\n",
" \n",
" refresh_characters_btn.click(\n",
" fn=refresh_characters,\n",
" outputs=[character_list]\n",
" )\n",
" \n",
" with gr.Tab(\"Chat with Character\"):\n",
" with gr.Row():\n",
" character_dropdown = gr.Dropdown(\n",
" label=\"Choose Character\", \n",
" choices=[char[0] for char in get_existing_characters()],\n",
" elem_id=\"character_dropdown\"\n",
" )\n",
" \n",
" chat_id_display = gr.Textbox(\n",
" label=\"Current Chat ID\", \n",
" interactive=False,\n",
" elem_id=\"chat_id_display\"\n",
" )\n",
" \n",
" user_input = gr.Textbox(\n",
" label=\"Your Message\",\n",
" placeholder=\"Type your message or use audio input\",\n",
" elem_id=\"user_input\",\n",
" lines=2 # Reduced height for better fitting\n",
" )\n",
"\n",
" audio_input = gr.Audio(\n",
" label=\"Audio Input\",\n",
" type=\"filepath\", # Type to receive audio file\n",
" elem_id=\"audio_input\"\n",
" )\n",
"\n",
" video_input = gr.Video(\n",
" label=\"Video Input\", # No type argument needed\n",
" elem_id=\"video_input\"\n",
" )\n",
" \n",
" chat_btn = gr.Button(\"Send\", variant=\"primary\")\n",
" chat_response = gr.Chatbot(\n",
" label=\"Chat Responses\", \n",
" elem_id=\"chat_response\",\n",
" height=300 # Set fixed height for the chat display\n",
" )\n",
" \n",
" def handle_chat(character_name, user_input, audio_file, video_file, user_id, chat_messages):\n",
" if audio_file:\n",
" user_input = speech_to_text(audio_file)\n",
" if user_input is None:\n",
" return chat_messages, None\n",
" \n",
" if video_file:\n",
" audio_file_path = extract_audio_from_video(video_file)\n",
" if audio_file_path is None: # Check if audio extraction failed\n",
" chat_messages.append((\"Bot\", \"Failed to extract audio from video. Please try a different file.\"))\n",
" return chat_messages, None\n",
"\n",
" extracted_text = speech_to_text(audio_file_path)\n",
" if extracted_text:\n",
" user_input += f\" {extracted_text}\" # Append transcribed text\n",
"\n",
" chat_messages.append((\"User\", \"Video uploaded\")) # Indicate video upload\n",
"\n",
" response, new_chat_id = chat_with_character(character_name, user_input, user_id)\n",
" chat_messages.append((\"User\", user_input)) # Add user message\n",
" chat_messages.append((\"Bot\", response)) # Add bot response\n",
" return chat_messages, new_chat_id\n",
" \n",
" chat_btn.click(\n",
" fn=handle_chat,\n",
" inputs=[character_dropdown, user_input, audio_input, video_input, user_id, chat_messages],\n",
" outputs=[chat_response, current_chat_id]\n",
" )\n",
" \n",
" with gr.Tab(\"Chat History\"):\n",
" with gr.Row():\n",
" gr.Markdown(\"## 📜 View Chat History 📜\")\n",
" view_history_btn = gr.Button(\"View History\", variant=\"primary\")\n",
" chat_history_display = gr.Dataframe(label=\"Chat History\", interactive=False)\n",
"\n",
" def load_chat_history(user_id):\n",
" history = get_chat_history(user_id)\n",
" return [(conv.id, f\"User: {conv.user_input}\\nBot: {conv.bot_response} at {conv.timestamp}\") for conv in history]\n",
"\n",
" view_history_btn.click(\n",
" fn=load_chat_history,\n",
" inputs=[user_id],\n",
" outputs=[chat_history_display]\n",
" )\n",
"\n",
" with gr.Tab(\"API Status\"):\n",
" with gr.Row():\n",
" gr.Markdown(\"## 🔌 API Connection Status 🔌\")\n",
" check_api_btn = gr.Button(\"Check API Status\", variant=\"primary\")\n",
" api_status_display = gr.Textbox(label=\"API Status\", interactive=False)\n",
"\n",
" def check_api_status():\n",
" try:\n",
" response = requests.post(\n",
" gemini_api_url,\n",
" headers={'Content-Type': 'application/json'},\n",
" json={\"contents\": [{\"parts\": [{\"text\": \"Hello\"}]}]},\n",
" params={'key': gemini_api_key}\n",
" )\n",
" if response.status_code == 200:\n",
" return \"✅ API connection successful! Gemini API is operational.\"\n",
" else:\n",
" return f\"❌ API connection failed: {response.status_code} - {response.text}\"\n",
" except Exception as e:\n",
" return f\"❌ API error: {str(e)}\"\n",
"\n",
" check_api_btn.click(\n",
" fn=check_api_status,\n",
" outputs=[api_status_display]\n",
" )\n",
" \n",
" return iface\n",
"\n",
"if __name__ == \"__main__\":\n",
" with app.app_context():\n",
" db.create_all() # Ensure tables are created\n",
" add_predefined_characters() # Add predefined characters if needed\n",
" \n",
" chat_interface = create_interface()\n",
" logger.info(\"Starting Gradio interface...\")\n",
" chat_interface.launch(share=True)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "1c43981d-405b-4ed6-b2ca-007388979345",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2025-02-27 13:41:30,336 - __main__ - INFO - Dropped existing tables and created new ones.\n",
"2025-02-27 13:41:30,341 - __main__ - INFO - Adding predefined character: Chuck the Clown\n",
"2025-02-27 13:41:30,344 - __main__ - INFO - Adding predefined character: Sarcastic Pirate\n",
"2025-02-27 13:41:30,345 - __main__ - INFO - Adding predefined character: Professor Sage\n",
"2025-02-27 13:41:30,375 - __main__ - INFO - Dropped existing tables and created new ones.\n",
"2025-02-27 13:41:30,377 - __main__ - INFO - Adding predefined character: Chuck the Clown\n",
"2025-02-27 13:41:30,379 - __main__ - INFO - Adding predefined character: Sarcastic Pirate\n",
"2025-02-27 13:41:30,381 - __main__ - INFO - Adding predefined character: Professor Sage\n",
"/home/zeus/miniconda3/envs/cloudspace/lib/python3.10/site-packages/gradio/components/chatbot.py:285: UserWarning: You have not specified a value for the `type` parameter. Defaulting to the 'tuples' format for chatbot messages, but this is deprecated and will be removed in a future version of Gradio. Please set type='messages' instead, which uses openai-style dictionaries with 'role' and 'content' keys.\n",
" warnings.warn(\n",
"2025-02-27 13:41:30,533 - __main__ - INFO - Starting Gradio interface...\n",
"2025-02-27 13:41:30,613 - httpx - INFO - HTTP Request: GET http://127.0.0.1:7865/gradio_api/startup-events \"HTTP/1.1 200 OK\"\n",
"2025-02-27 13:41:30,622 - httpx - INFO - HTTP Request: HEAD http://127.0.0.1:7865/ \"HTTP/1.1 200 OK\"\n",
"2025-02-27 13:41:30,689 - httpx - INFO - HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on local URL: http://127.0.0.1:7865\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2025-02-27 13:41:30,890 - httpx - INFO - HTTP Request: GET https://api.gradio.app/v3/tunnel-request \"HTTP/1.1 200 OK\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on public URL: https://6dd5e56f61ad340d48.gradio.live\n",
"\n",
"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
]
},
{
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"output_type": "stream",
"text": [
"2025-02-27 13:41:31,552 - httpx - INFO - HTTP Request: HEAD https://6dd5e56f61ad340d48.gradio.live \"HTTP/1.1 200 OK\"\n"
]
},
{
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{
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"execution_count": 3,
"id": "5a39e684-3c79-4471-a036-72ec184bd766",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "Interface.__init__() missing 2 required positional arguments: 'inputs' and 'outputs'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[3], line 395\u001b[0m\n\u001b[1;32m 392\u001b[0m add_predefined_characters() \u001b[38;5;66;03m# Add predefined characters if needed\u001b[39;00m\n\u001b[1;32m 394\u001b[0m \u001b[38;5;66;03m# Launch the Gradio interface\u001b[39;00m\n\u001b[0;32m--> 395\u001b[0m \u001b[43mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mInterface\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcreate_interface\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlive\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mlaunch()\n",
"\u001b[0;31mTypeError\u001b[0m: Interface.__init__() missing 2 required positional arguments: 'inputs' and 'outputs'"
]
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "c2af98a2-e994-4f0c-8d46-eb8bef565379",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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"language_info": {
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"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
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|