Create app.py

app.py

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+import os
+import gradio as gr
+from datetime import datetime
+from agents import Agent, Runner
+from agents.mcp import MCPServerStdio
+
+# Optional: default exchange via env; can also hardcode "binance"
+DEFAULT_EXCHANGE = os.getenv("EXCHANGE_NAME", "binance")
+
+async def handle_request(request: str):
+    instructions = f"""You are a cryptocurrency perpetuals trading researcher. You have the tools for trend/momentum/volatility/volume technical indicators and strategies.
+Default analysis interval is 1h, and default lookback period is 36. 
+Default indicators/strategies you have are:
+- EMA (20, 200)
+- MACD (12, 26, 9)
+- stochastic RSI (14, 14, 3, 3)
+- Accumulation/Distribution (ADL)
+- Volume
+Based on the indicators, Look for possible long/short opportunities, and come up with a strategy.
+The current datetime is {datetime.now().strftime("%Y-%m-%d %H:%M:%S")}"""
+
+    params = {
+        "command": "node",
+        "args": ["crypto-indicators-mcp/index.js"],
+        "env": {
+            "EXCHANGE_NAME": DEFAULT_EXCHANGE
+        }
+    }
+
+    async with MCPServerStdio(params=params, client_session_timeout_seconds=60) as mcp_server:
+        agent = Agent(
+            name="crypto_technical_researcher",
+            instructions=instructions,
+            model="gpt-4.1-mini",
+            mcp_servers=[mcp_server],
+        )
+        result = await Runner.run(agent, request)
+        return result.final_output
+
+iface = gr.Interface(
+    fn=handle_request,
+    inputs=gr.Textbox(label="Request", placeholder="e.g., Get the latest indicators on BTC"),
+    outputs=gr.Textbox(label="Response", lines=12),
+    title="Crypto Technical Researcher",
+    description="Ask for technical analysis via an MCP-powered toolchain."
+)
+
+if __name__ == "__main__":
+    iface.launch()