|
import gradio as gr
|
|
from ai_wrapper import AIProjectAssistant
|
|
from typing import Tuple
|
|
import os
|
|
from dotenv import load_dotenv
|
|
|
|
|
|
load_dotenv()
|
|
|
|
|
|
API_KEY = os.getenv("OPENAI_API_KEY")
|
|
if not API_KEY:
|
|
raise ValueError("No OpenAI API key found. Please set OPENAI_API_KEY environment variable.")
|
|
|
|
|
|
assistant = AIProjectAssistant(API_KEY)
|
|
|
|
|
|
PROJECT_OPTIONS = {
|
|
"Text-to-Image Generation": "Create an AI system that generates images from text descriptions using models like DALL-E or Stable Diffusion",
|
|
"GPT Chatbot Assistant": "Build a custom GPT-powered chatbot assistant for specific domain expertise",
|
|
"AI Story Generator": "Develop a creative writing AI that generates stories based on prompts",
|
|
"Voice Cloning AI": "Create a system that can clone and synthesize human voices",
|
|
"AI Music Composer": "Build an AI system that composes original music in different styles",
|
|
"Text-to-Video Generation": "Implement a system that creates short videos from text descriptions",
|
|
"AI Code Generator": "Create a coding assistant that generates code from natural language descriptions",
|
|
"AI Art Style Transfer": "Develop a system that applies artistic styles to images using AI",
|
|
"AI Content Summarizer": "Build an AI that creates concise summaries of long-form content",
|
|
"Virtual Avatar Creator": "Create an AI system that generates and animates virtual avatars"
|
|
}
|
|
|
|
|
|
CUSTOM_CSS = """
|
|
.container {
|
|
max-width: 1200px;
|
|
margin: auto;
|
|
padding: 20px;
|
|
}
|
|
.title {
|
|
text-align: center;
|
|
color: #2a9d8f;
|
|
padding: 20px;
|
|
border-bottom: 3px solid #264653;
|
|
margin-bottom: 30px;
|
|
}
|
|
.subtitle {
|
|
color: #264653;
|
|
text-align: center;
|
|
font-style: italic;
|
|
}
|
|
.project-button {
|
|
margin: 5px;
|
|
border: 2px solid #2a9d8f;
|
|
border-radius: 8px;
|
|
background-color: #f8f9fa;
|
|
}
|
|
.project-button:hover {
|
|
background-color: #2a9d8f;
|
|
color: white;
|
|
}
|
|
.output-box {
|
|
border: 2px solid #264653;
|
|
border-radius: 10px;
|
|
padding: 15px;
|
|
}
|
|
.sidebar {
|
|
background-color: #f8f9fa;
|
|
padding: 20px;
|
|
border-radius: 10px;
|
|
border: 2px solid #264653;
|
|
}
|
|
"""
|
|
|
|
def process_input(input_type: str, query: str) -> Tuple[str, str]:
|
|
"""Process user input and return AI response."""
|
|
if not query.strip():
|
|
return "", "Please enter a query"
|
|
|
|
if input_type == "brainstorm":
|
|
response = assistant.brainstorm_project(query)
|
|
else:
|
|
response = assistant.get_code_suggestion(query)
|
|
|
|
if response["success"]:
|
|
status = f"Success! Tokens used: {response.get('tokens_used', 'N/A')}"
|
|
return response["content"], status
|
|
else:
|
|
return "", f"Error: {response.get('error', 'Unknown error occurred')}"
|
|
|
|
def handle_project_click(project_name: str) -> Tuple[str, str, str]:
|
|
"""Handle when a project option is clicked."""
|
|
description = PROJECT_OPTIONS[project_name]
|
|
response = assistant.brainstorm_project(description)
|
|
|
|
if response["success"]:
|
|
status = f"Success! Tokens used: {response.get('tokens_used', 'N/A')}"
|
|
return "brainstorm", description, response["content"]
|
|
else:
|
|
return "brainstorm", description, f"Error: {response.get('error', 'Unknown error occurred')}"
|
|
|
|
|
|
with gr.Blocks(css=CUSTOM_CSS, title="DDS AI Project Assistant") as interface:
|
|
with gr.Column(elem_classes="container"):
|
|
gr.HTML("""
|
|
<div class="title">
|
|
<h1>π€ DDS AI Project Assistant π</h1>
|
|
<p class="subtitle">Your Generative AI Project Development Companion</p>
|
|
</div>
|
|
""")
|
|
|
|
with gr.Row():
|
|
|
|
with gr.Column(scale=1, elem_classes="sidebar"):
|
|
gr.HTML("""
|
|
<h3 style="text-align: center; color: #2a9d8f;">
|
|
π― Popular GenAI Projects
|
|
</h3>
|
|
""")
|
|
project_buttons = [
|
|
gr.Button(
|
|
name,
|
|
elem_classes="project-button"
|
|
) for name in PROJECT_OPTIONS.keys()
|
|
]
|
|
|
|
|
|
with gr.Column(scale=3):
|
|
input_type = gr.Radio(
|
|
choices=["brainstorm", "code"],
|
|
label="π€ What kind of help do you need?",
|
|
value="brainstorm"
|
|
)
|
|
|
|
query = gr.Textbox(
|
|
label="π Enter your topic or code request",
|
|
placeholder="e.g., 'text-to-image generation' or 'implement stable diffusion'",
|
|
elem_classes="output-box"
|
|
)
|
|
|
|
submit_btn = gr.Button(
|
|
"π Get AI Assistance",
|
|
elem_classes="project-button"
|
|
)
|
|
|
|
with gr.Column(elem_classes="output-box"):
|
|
output = gr.Textbox(
|
|
label="π€ AI Response",
|
|
lines=10
|
|
)
|
|
status = gr.Textbox(
|
|
label="π Status"
|
|
)
|
|
|
|
gr.HTML("""
|
|
<div style="text-align: center; margin-top: 20px; padding: 10px; border-top: 2px solid #264653;">
|
|
<p>Developed by DDS Team | Powered by OpenAI</p>
|
|
</div>
|
|
""")
|
|
|
|
|
|
submit_btn.click(
|
|
fn=process_input,
|
|
inputs=[input_type, query],
|
|
outputs=[output, status]
|
|
)
|
|
|
|
|
|
for btn in project_buttons:
|
|
btn.click(
|
|
fn=handle_project_click,
|
|
inputs=[btn],
|
|
outputs=[input_type, query, output]
|
|
)
|
|
|
|
if __name__ == "__main__":
|
|
interface.launch() |