push

app.py

@@ -213,7 +213,7 @@ def process_query(user_input, history):
     # Step 3: Generate a response using the search results
     response = client.chat_completion(
         model="Qwen/Qwen2.5-72B-Instruct",
-        messages=[{"role": "user", "content": f"Using the search results: {search_results_str} and chat history {history}, this vector database on health checks {retrieved_texts} answer the user's query '{user_input}' in a concise, precise way,  using numerical data if available. ONLY GIVE ONE RESPONSE BACK, CONCISE OR DETAILED BASED ON THE USERS INPUT"}],
+        messages=[{"role": "user", "content": f"Using the search results: {search_results_str} and chat history {history}, this vector database on health checks {retrieved_texts} answer the user's query '{user_input}' in a concise, precise way,  using numerical data if available. ONLY GIVE ONE RESPONSE BACK, CONCISE OR DETAILED BASED ON THE USERS INPUT. here is a short description of their investing style, so tailor your responses to it and reference it {investing_style}"}],
         max_tokens=3000,
         stream=True
     )
@@ -270,7 +270,11 @@ theme = gr.themes.Ocean()
 with gr.Blocks(theme=theme) as demo:
     with gr.Column():
         gr.Markdown("## quantineuron.com: IM.analyst - Building the Future of Investing")
-
+    with gr.Column():
+        investing_style = gr.Textbox(
+        label="Describe Your Investing Style", 
+        placeholder="e.g., Long-term growth with moderate risk tolerance in tech and healthcare stocks"
+    )
     with gr.Column(scale=3, min_width=600):
         chat_interface = gr.ChatInterface(
             fn=process_query,
@@ -286,5 +290,5 @@ with gr.Blocks(theme=theme) as demo:
 
         **Important Note**: Investing in financial markets carries risk, and it is possible to lose some or all of the invested capital. Always consider seeking advice from a qualified financial advisor.
         ''')
-
+   
 demo.launch()