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import gradio as gr
import asyncio
import json
from datetime import datetime
from typing import List, Tuple
from src.agent.research_agent import Web3ResearchAgent
from src.api.airaa_integration import AIRAAIntegration
from src.visualizations import create_price_chart, create_market_overview
from src.utils.logger import get_logger
from src.utils.config import config
logger = get_logger(__name__)
class Web3CoPilotApp:
def __init__(self):
try:
self.agent = Web3ResearchAgent()
self.airaa = AIRAAIntegration()
except Exception as e:
logger.error(f"App initialization failed: {e}")
raise
async def process_query(self, query: str, history: List[Tuple[str, str]]):
if not query.strip():
yield history, ""
return
try:
history.append((query, "π Researching..."))
yield history, ""
result = await self.agent.research_query(query)
if result["success"]:
response = result["result"]
sources = ", ".join(result.get("sources", []))
response += f"\n\n---\nπ **Sources**: {sources}\nβ° **Generated**: {datetime.now().strftime('%H:%M:%S')}"
if config.AIRAA_WEBHOOK_URL:
asyncio.create_task(self.airaa.send_research_data(result))
else:
response = f"β Error: {result.get('error', 'Research failed')}"
history[-1] = (query, response)
yield history, ""
except Exception as e:
logger.error(f"Query error: {e}")
history[-1] = (query, f"β System error: {str(e)}")
yield history, ""
def get_chart_data(self, symbol: str):
try:
if not symbol.strip():
return "Please enter a symbol"
data = asyncio.run(self.agent.get_price_history(symbol))
return create_price_chart(data, symbol)
except Exception as e:
logger.error(f"Chart error: {e}")
return f"Chart unavailable: {str(e)}"
def get_market_overview(self):
try:
data = asyncio.run(self.agent.get_comprehensive_market_data())
return create_market_overview(data)
except Exception as e:
logger.error(f"Market overview error: {e}")
return f"Market data unavailable: {str(e)}"
def create_interface(self):
with gr.Blocks(title=config.UI_TITLE, theme=gr.themes.Soft()) as demo:
gr.Markdown(f"""
# π {config.UI_TITLE}
{config.UI_DESCRIPTION}
**Powered by**: Gemini AI β’ CoinGecko β’ DeFiLlama β’ Etherscan
""")
with gr.Row():
with gr.Column(scale=2):
chatbot = gr.Chatbot(label="Research Assistant", height=650)
with gr.Row():
query_input = gr.Textbox(
placeholder="Ask about crypto markets, DeFi protocols, or on-chain data...",
label="Research Query", lines=2
)
submit_btn = gr.Button("π Research", variant="primary")
clear_btn = gr.Button("ποΈ Clear", variant="secondary")
with gr.Column(scale=1):
gr.Markdown("### π‘ Example Queries")
examples = [
"Bitcoin price analysis",
"Top DeFi protocols by TVL",
"Ethereum vs Solana comparison",
"Trending cryptocurrencies",
"DeFi yield opportunities"
]
for example in examples:
gr.Button(example, size="sm").click(
lambda x=example: x, outputs=query_input
)
gr.Markdown("### π Visualizations")
chart_output = gr.Plot(label="Charts")
symbol_input = gr.Textbox(placeholder="BTC, ETH, SOL...", label="Chart Symbol")
chart_btn = gr.Button("π Generate Chart")
market_btn = gr.Button("π Market Overview")
submit_btn.click(
self.process_query,
inputs=[query_input, chatbot],
outputs=[chatbot, query_input]
)
query_input.submit(
self.process_query,
inputs=[query_input, chatbot],
outputs=[chatbot, query_input]
)
clear_btn.click(lambda: ([], ""), outputs=[chatbot, query_input])
chart_btn.click(
self.get_chart_data,
inputs=symbol_input,
outputs=chart_output
)
market_btn.click(
self.get_market_overview,
outputs=chart_output
)
return demo
if __name__ == "__main__":
app = Web3CoPilotApp()
interface = app.create_interface()
interface.launch(
server_name="0.0.0.0",
server_port=7860,
share=False
)
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