push

app.py

@@ -89,44 +89,47 @@ def search(query):
             print(f"Google search failed: {e}")
 
     return all_results
-    
+
 def process_query(user_input, history):
-    
     yield 'Preparing your request 🛠️'
-    # Accumulate streamed content from the initial request
+    
+    # Step 1: Generate a search term based on the user query
     stream_search = client.chat_completion(
         model="Qwen/Qwen2.5-72B-Instruct",
-        messages=[{"role": "user", "content": f"Based on this chat history {history} and the user's request '{user_input}', suggest a Google search term in a single line without assuming any specific dates use 'this year', 'this month', etc. make sure that you do generate a good search based on the query, for example if the user asks 'build a DFCF model for Apple', search up something like 'Apple DFCF model', and if they ask for something like a market cap, just search up what is Apple's current market cap. make sure that you provide a good google search all of the time, for example if they ask for the price of pulsar helium stock just search for it"}],
+        messages=[{"role": "user", "content": f"Based on this chat history {history} and the user's request '{user_input}', suggest a Google search term in a single line without specific dates; use 'this year', 'this month', etc. INCLUDE NOTHING IN YOUR RESPONSE EXCEPT THE RELEVANT SEARCH RESULT. EXAMPLE: USER: WHAT IS THE CURRENT PRICE OF COCA COLA STOCK. YOUR RESPONSE: WHAT IS THE CURRENT PRICE OF COCA COLA STOCK"}],
         max_tokens=400,
         stream=True
     )
-    yield 'Generating search term based on your input 🔍'
-    # Accumulate content from the streamed response
-    streamed_search_query = ""
+    
+    # Collect the search term
+    search_query = ""
     for chunk in stream_search:
         content = chunk.choices[0].delta.content or ''
-        streamed_search_query += content
+        search_query += content
 
-    
+    # Step 2: Perform the web search with the generated term
     yield 'Searching the web for relevant information 🌐'
-    # Perform the web search based on the accumulated query
-    search_results = search(streamed_search_query)
+    search_results = search(search_query)
+    
+    # Format results as a JSON string for model input
     search_results_str = json.dumps(search_results)
     
-    # Create the response request with HuggingFace using search results
+    # Step 3: Generate a response using the search results
     response = client.chat_completion(
         model="Qwen/Qwen2.5-72B-Instruct",
-        messages=[{"role": "user", "content": f"YOU ARE AN INVESTMENT CHATBOT . Answer the user's request '{user_input}' using the following information: {search_results} and the chat history {history}. Provide a concise, direct answer in no more than 2-3 sentences, with appropriate emojis HOWEVER DONT OVERUSE AND ONLY USE EMOJIS RELATED TO STOCKS. YOU MUST GIVE THE NUMERICAL DATA VALUES TO THE USER WHEN THEY ASK YOU SOMETHING TO BACK UP WHAT YOU ARE SAYING! . If the user asks for a smart sheet, generate up to 3000 tokens analyzing all trends and patterns as though you are a stock analyst, look for every pattern and form conclusions. IF YOU ARE ASKED TO BUILD MODELS OR LIST STOCKS, USE THE SEARCH DATA TO HELP YOU BUILD THEM AND MAKE SURE YOU ACTUALLY GIVE THE VALUES AND WHAT THE ARTICLE SAYS RATHER THAN JUST SAYING THAT IT IS AVAILABLE FROM THE WEBSITE. unless the user asks for a smart sheet. keep responses short, quick and logical, using the data provided. AT THE END OF EACH RESPONSE ESPECIALLY SAY HOW THIS IS NOT FINANCIAL ADVICE AND QUANTINEURON.COM IS NOT RESPONSIBLE FOR ANYTHING THAT GOES WRONG BECAUSE OF WHAT YOU SAY, AND THAT BY USING YOU, YOU AGREE TO OUR DISCLAIMER STATEMENT, TERMS OF SERVICE, TERMS AND CONSITIONS AND DATA COLLECTION AND PRIVACY POLICY. "}],
+        messages=[{"role": "user", "content": f"Using the search results: {search_results_str} and chat history {history}, answer the user's query '{user_input}' concisely, using numerical data if available. "}],
         max_tokens=3000,
         stream=True
     )
+
     yield "Analyzing the search results and crafting a response 📊"
-    # Accumulate the final response and stream it
+    
+    # Stream final response
     final_response = ""
     for chunk in response:
         content = chunk.choices[0].delta.content or ''
         final_response += content
-        yield final_response  # Yield the accumulated response for real-time streaming
+        yield final_response
 
 theme = gr.themes.Citrus(
     primary_hue="blue",
@@ -137,19 +140,19 @@ examples = [
     ["whats the trending social sentiment like for Nvidia"],
     ["What's the latest news on Cisco Systems stock"],
     ["Analyze technical indicators for Adobe, are they presenting buy or sell signals"],
-    ["Write me a smart sheet on the trending social sentiment and techncial indicators for nvidia"],
+    ["Write me a smart sheet on the trending social sentiment and technical indicators for Nvidia"],
     ["What are the best stocks to buy this month"],
     ["What companies report earnings this week"],
     ["What's Apple's current market cap"],
-    ["analyse the technical indicators for apple"],
-    ["build an intrinsic value model for apple"],
+    ["Analyze the technical indicators for Apple"],
+    ["Build an intrinsic value model for Apple"],
     ["Make a table of Apple's stock price for the last 3 days"],
-    ['what is Apples PE ratio and how does it compare top other companies in consumer electronics'],
-    ['how did salesforce do on its last earnings?'],
-    ['what is the average analyst price target for Nvidia'],
-    ['whats the outlook for the stock market in 2025'],
-    ['when does Nvidia next report earnings'],
-    ['what are the latest products from apple'],
+    ["What is Apple's PE ratio and how does it compare to other companies in consumer electronics"],
+    ["How did Salesforce perform in its last earnings?"],
+    ["What is the average analyst price target for Nvidia"],
+    ["What is the outlook for the stock market in 2025"],
+    ["When does Nvidia next report earnings"],
+    ["What are the latest products from Apple"],
     ["What is Tesla's current price-to-earnings ratio and how does it compare to other car manufacturers?"],
     ["List the top 5 performing stocks in the S&P 500 this month"],
     ["What is the dividend yield for Coca-Cola?"],
@@ -168,11 +171,24 @@ chatbot = gr.Chatbot(
     height=700
 )
 
-chat_interface = gr.ChatInterface(
-    theme=theme,
-    fn=process_query,
-    chatbot=chatbot,
-    examples=examples,
-)
+with gr.Blocks(theme=theme) as demo:
+    with gr.Column():
+        gr.Markdown("## IM.S - Building the Future of Investing")
+    
+    with gr.Column(scale=3, min_width=600):
+        chat_interface = gr.ChatInterface(
+            fn=process_query,
+            chatbot=chatbot,
+            examples=examples
+        )
+    
+    with gr.Column():
+        gr.Markdown('''
+        **Disclaimer**: The information provided by IM.S is for educational and informational purposes only and does not constitute financial, investment, or professional advice. By using this service, you acknowledge and agree that all decisions you make based on the information provided are made at your own risk. Neither IM.S nor quantineuron.com is liable for any financial losses or damages resulting from reliance on information provided by this chatbot.
+
+        By using IM.S, you agree to be bound by quantineuron.com’s [Terms of Service](https://quantineuron.com/disclaimer-statement/), [Terms and Conditions](https://quantineuron.com/terms-and-conditions/), [Data Protection and Privacy Policy](https://quantineuron.com/data-protection-and-privacy-policy/), [our discalimer statement](https://quantineuron.com/disclaimer-statement/) and this Disclaimer Statement. We recommend reviewing these documents carefully. Your continued use of this service confirms your acceptance of these terms and conditions, and it is your responsibility to stay informed of any updates or changes.
+
+        **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.
+        ''')
 
-chat_interface.launch()
+demo.launch()