Create app.py

app.py

@@ -0,0 +1,23 @@
+# app.py
+
+import gradio as gr
+from core.stock_analysis import analyze_stock
+from langchain_google_genai import ChatGoogleGenerativeAI
+import os
+
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+llm = ChatGoogleGenerativeAI(model="gemini-2.5-pro", google_api_key=GOOGLE_API_KEY)
+
+def analyze_api(ticker):
+    return analyze_stock(ticker.strip().upper(), llm)
+
+demo = gr.Interface(
+    fn=analyze_api,
+    inputs=gr.Textbox(label="Enter NSE Ticker (e.g., RELIANCE)"),
+    outputs="json",
+    title="📈 Stock Analysis API (NSE)",
+    description="Get analysis and insights for Indian stocks using Google Gemini + LangChain. Returns structured JSON."
+)
+
+if __name__ == "__main__":
+    demo.queue().launch()