changed the audio button location , rename the button text and changed the file name

This commit is contained in:
Rohit Nain
2025-09-09 12:51:49 +05:30
parent f6c8725384
commit 4296c64479
5 changed files with 6 additions and 10 deletions

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name: Run Python script
on:
push:
branches:
- figma_assistance
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.9'
- name: Install Gradio
run: python -m pip install gradio
- name: Log in to Hugging Face
run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
- name: Deploy to Spaces
run: gradio deploy

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---
title: Figma_assistance
app_file: day_5_figma_assistance.py
sdk: gradio
sdk_version: 5.38.2
---

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from openai import OpenAI
from dotenv import load_dotenv
import os
load_dotenv()
import gradio as gr
import base64
from io import BytesIO
from PIL import Image
from IPython.display import Audio, display
import google.generativeai
import anthropic
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
# Configure Gemini
google.generativeai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
# Configure Claude
claude = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
openAI_model = "gpt-3.5-turbo"
gemini_model = "gemini-2.0-flash"
claude_model = "claude-sonnet-4-20250514"
openai_audio_model = "tts-1"
# Figma onboarding knowledge base
FIGMA_KNOWLEDGE = """
You are a helpful Figma onboarding assistant. You help new users learn Figma's core features and workflows.
Key Figma concepts to help users with:
- Interface overview (toolbar, layers panel, properties panel)
- Creating and editing frames
- Working with shapes, text, and components
- Using the pen tool for custom shapes
- Auto Layout for responsive designs
- Components and variants
- Prototyping and interactions
- Collaboration features
- Design systems and libraries
- Exporting assets
- Keyboard shortcuts
Always provide clear, step-by-step instructions and mention relevant keyboard shortcuts when applicable.
"""
promts = {
"Charlie": FIGMA_KNOWLEDGE
}
def truncate_for_tts(text, max_length=4000):
"""Truncate text for TTS while preserving complete sentences"""
if len(text) <= max_length:
return text
# Try to truncate at sentence boundaries
sentences = text.split('. ')
truncated = ""
for sentence in sentences:
if len(truncated + sentence + '. ') <= max_length:
truncated += sentence + '. '
else:
break
# If we couldn't fit any complete sentences, just truncate hard
if not truncated.strip():
truncated = text[:max_length-10] + "..."
return truncated.strip()
def talker_openai(message):
"""Generate audio from text using OpenAI TTS"""
try:
# Truncate message for TTS
truncated_message = truncate_for_tts(message)
response = client.audio.speech.create(
model="tts-1",
voice="onyx",
input=truncated_message
)
audio_stream = BytesIO(response.content)
output_filename = "output_audio_openai.mp3"
with open(output_filename, "wb") as f:
f.write(audio_stream.read())
return output_filename
except Exception as e:
print(f"Error generating audio with OpenAI: {str(e)}")
return None
def talker(message, model_choice):
"""Generate audio from text using selected model"""
return talker_openai(message)
def get_figma_help_openai(user_question, chat_history):
"""Get Figma onboarding assistance using OpenAI"""
try:
messages = [
{"role": "system", "content": FIGMA_KNOWLEDGE}
]
# Convert messages format chat history to OpenAI format
for msg in chat_history:
if msg["role"] == "user":
messages.append({"role": "user", "content": msg["content"]})
elif msg["role"] == "assistant":
messages.append({"role": "assistant", "content": msg["content"]})
messages.append({"role": "user", "content": user_question})
response = client.chat.completions.create(
model=openAI_model,
messages=messages,
max_tokens=500,
temperature=0.7
)
return response.choices[0].message.content
except Exception as e:
return f"Sorry, I encountered an error with OpenAI: {str(e)}"
def get_figma_help_gemini(user_question, chat_history):
"""Get Figma onboarding assistance using Gemini"""
try:
gemini = google.generativeai.GenerativeModel(
model_name=gemini_model,
system_instruction=FIGMA_KNOWLEDGE,
)
# Build conversation context from messages format
conversation_context = ""
for msg in chat_history:
if msg["role"] == "user":
conversation_context += f"User: {msg['content']}\n"
elif msg["role"] == "assistant":
conversation_context += f"Assistant: {msg['content']}\n\n"
message = conversation_context + f"User: {user_question}"
response = gemini.generate_content(message)
reply = response.text
return reply
except Exception as e:
return f"Sorry, I encountered an error with Gemini: {str(e)}"
def get_figma_help_claude(user_question, chat_history):
"""Get Figma onboarding assistance using Claude"""
try:
# Convert messages format to Claude format
claude_messages = []
for msg in chat_history:
if msg["role"] == "user":
claude_messages.append({"role": "user", "content": msg["content"]})
elif msg["role"] == "assistant":
claude_messages.append({"role": "assistant", "content": msg["content"]})
# Add the current question
claude_messages.append({"role": "user", "content": user_question})
response = claude.messages.create(
model=claude_model,
max_tokens=500,
temperature=0.7,
system=promts["Charlie"],
messages=claude_messages,
)
reply = response.content[0].text
return reply
except Exception as e:
return f"Sorry, I encountered an error with Claude: {str(e)}"
def respond(message, chat_history, model_choice):
if not message.strip():
return "", chat_history, "", model_choice
bot_message = get_figma_help(message, chat_history, model_choice)
# Add user message and bot response in messages format
new_history = chat_history + [
{"role": "user", "content": message},
{"role": "assistant", "content": bot_message}
]
return "", new_history, bot_message, model_choice
def clear_chat():
"""Clear the chat history"""
return [], "", None
def get_figma_help(user_question, chat_history, model_choice):
"""Get Figma onboarding assistance using selected model"""
if model_choice == "OpenAI (GPT-3.5)":
return get_figma_help_openai(user_question, chat_history)
elif model_choice == "Google Gemini (2.0 Flash)":
return get_figma_help_gemini(user_question, chat_history)
elif model_choice == "Claude (Sonnet 4)":
return get_figma_help_claude(user_question, chat_history)
else:
return "Please select a valid model."
custom_css = """
/* Chat area styling */
.styled-chat {
border-radius: 15px !important;
box-shadow: 0 4px 12px var(--shadow-color) !important;
border: 1px solid var(--border-color) !important;
padding: 10px;
}
/* Audio player styling */
.styled-audio {
border-radius: 15px !important;
box-shadow: 0 4px 12px var(--shadow-color) !important;
border: 10px solid var(--block-background-fill) !important;
padding: 10px;
background-color: var(--background-fill-secondary) !important;
}
/* Header styling */
.header-container {
text-align: center;
padding: 20px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
border-radius: 15px;
margin-bottom: 20px;
}
.header-title {
color: white;
margin: 0;
font-size: 2.5em;
}
.header-subtitle {
color: #f0f0f0;
margin: 10px 0 0 0;
font-size: 1.2em;
}
/* Features section styling */
.features-container {
background: #f8f9fa;
padding: 20px;
border-radius: 10px;
border-left: 4px solid #667eea;
}
.features-title {
color: #333;
margin-top: 0;
}
.features-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 15px;
margin-top: 15px;
}
.feature-item {
color: #333;
margin: 10px 0;
}
.feature-title {
color: #667eea;
}
.feature-description {
color: #666;
}
/* Pro tip styling */
.protip-container {
text-align: center;
margin-top: 20px;
padding: 15px;
background: #e8f4f8;
border-radius: 8px;
}
.protip-text {
margin: 0;
color: #2c5aa0 !important;
font-weight: 500;
}
/* Quick start questions styling */
.quickstart-container {
background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%);
padding: 15px 20px;
border-radius: 10px;
}
.quickstart-title {
color: white !important;
margin: 0;
font-size: 1.3em;
text-align: center;
}
.quickstart-subtitle {
color: #f0f8ff !important;
margin: 5px 0 0 0;
text-align: center;
font-size: 0.9em;
}
"""
# Create Gradio interface
with gr.Blocks(title="Figma Onboarding Assistant", theme=gr.themes.Soft(), css=custom_css) as demo:
gr.HTML(
"""
<div class="header-container">
<h1 class="header-title">🎨 Figma Onboarding Assistant</h1>
<p class="header-subtitle">Your AI-powered Figma learning companion</p>
</div>
<div class="features-container">
<h3 class="features-title">✨ What I can help you with:</h3>
<div class="features-grid">
<div>
<p class="feature-item"><strong class="feature-title">🚀 Getting Started</strong><br/>
<span class="feature-description">Interface overview, basic navigation</span></p>
<p class="feature-item"><strong class="feature-title">🛠️ Tools & Features</strong><br/>
<span class="feature-description">Pen tool, shapes, text, layers</span></p>
<p class="feature-item"><strong class="feature-title">📐 Auto Layout</strong><br/>
<span class="feature-description">Responsive design techniques</span></p>
<p class="feature-item"><strong class="feature-title">🔗 Prototyping</strong><br/>
<span class="feature-description">Interactions and animations</span></p>
</div>
<div>
<p class="feature-item"><strong class="feature-title">🧩 Components</strong><br/>
<span class="feature-description">Creating reusable elements</span></p>
<p class="feature-item"><strong class="feature-title">👥 Collaboration</strong><br/>
<span class="feature-description">Sharing and team workflows</span></p>
<p class="feature-item"><strong class="feature-title">📚 Design Systems</strong><br/>
<span class="feature-description">Libraries and style guides</span></p>
<p class="feature-item"><strong class="feature-title">⚡ Shortcuts</strong><br/>
<span class="feature-description">Productivity tips and tricks</span></p>
</div>
</div>
</div>
<div class="protip-container">
<p class="protip-text">💡 Pro tip: Ask specific questions like "How do I create a button component?" for the best results!</p>
</div>
"""
)
# Example questions
gr.HTML(
"""
<div class="quickstart-container">
<h3 class="quickstart-title">🚀 Quick Start Questions</h3>
<p class="quickstart-subtitle">Click any question below to get started instantly!</p>
</div>
"""
)
with gr.Row():
example_btns = [
gr.Button(
"How do I create my first frame?",
size="sm",
variant="secondary"
),
gr.Button(
"What's the difference between components and instances?",
size="sm",
variant="secondary"
),
gr.Button(
"How do I use Auto Layout?",
size="sm",
variant="secondary"
),
gr.Button(
"How do I create a prototype?",
size="sm",
variant="secondary"
)
]
# Model selection dropdown
model_dropdown = gr.Dropdown(
choices=["OpenAI (GPT-3.5)", "Google Gemini (2.0 Flash)", "Claude (Sonnet 4)"],
value="OpenAI (GPT-3.5)",
label="Select AI Model",
info="Choose which AI model to use for responses"
)
with gr.Row():
msg = gr.Textbox(
placeholder="Type your Figma question here...",
container=False,
scale=4
)
submit_btn = gr.Button("Ask", scale=1, variant="primary")
clear_btn = gr.Button("Clear Chat", scale=1)
# Your components with simple styling
chatbot = gr.Chatbot(
type="messages",
height=400,
placeholder="Ask me anything about Figma! For example: 'How do I create a component?' or 'What are frames in Figma?'",
elem_classes=["styled-chat"]
)
with gr.Row():
audio_btn = gr.Button("🔊 Text To Audio", scale=1, variant="primary")
clear_audio_btn = gr.Button("🔇 Clear Audio", scale=2, variant="secondary")
audio_output = gr.Audio(
label="Audio Response",
visible=True,
elem_classes=["styled-audio"]
)
last_response = gr.State("")
current_model = gr.State("OpenAI (GPT-3.5)")
def respond(message, chat_history, model_choice):
if not message.strip():
return "", chat_history, "", model_choice
bot_message = get_figma_help(message, chat_history, model_choice)
new_history = chat_history + [
{"role": "user", "content": message},
{"role": "assistant", "content": bot_message}]
return "", new_history, bot_message, model_choice
def play_audio(last_message, model_choice):
if last_message:
audio_file = talker(last_message, model_choice)
if audio_file:
return audio_file
return None
def clear_audio():
"""Clear the audio output"""
return None
def use_example(example_text):
return example_text
# Set up interactions
submit_btn.click(
respond,
inputs=[msg, chatbot, model_dropdown],
outputs=[msg, chatbot, last_response, current_model]
)
msg.submit(
respond,
inputs=[msg, chatbot, model_dropdown],
outputs=[msg, chatbot, last_response, current_model]
)
clear_btn.click(clear_chat, outputs=[chatbot, msg, last_response])
# Audio button functionality - now uses selected model
audio_btn.click(
play_audio,
inputs=[last_response, current_model],
outputs=[audio_output]
)
# Clear audio button functionality
clear_audio_btn.click(
clear_audio,
outputs=[audio_output]
)
# Example button clicks
for i, btn in enumerate(example_btns):
btn.click(
use_example,
inputs=[btn],
outputs=[msg]
)
# Launch the app
demo.launch(share=True)

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openai
python-dotenv
gradio
pillow
google-generativeai
anthropic
ipython