Update app.py

app.py

@@ -70,27 +70,27 @@ llm = OpenAI(temperature=0, openai_api_key=openai_api_key, max_tokens = 180)
 sql_generation_chain = LLMChain(llm=llm, prompt=sql_prompt)
 
 # Insights Generation Chain
-insights_template = """
-You are an expert data scientist. Based on the user's question and the SQL query result provided below, generate a concise and informative analysis that includes data insights and actionable recommendations.
+insights_template =  """
+You are an expert data scientist. Based on the user's question and the SQL query result provided below, generate a concise analysis that includes key data insights and actionable recommendations. Limit the response to a maximum of 150 words.
 
 User's Question: {question}
 
 SQL Query Result:
 {result}
 
-Analysis and Recommendations:
+Concise Analysis (max 200 words):
 """
 insights_prompt = PromptTemplate(template=insights_template, input_variables=['question', 'result'])
 insights_chain = LLMChain(llm=llm, prompt=insights_prompt)
 
 # General Insights and Recommendations Chain
 general_insights_template = """
-You are an expert data scientist. Based on the entire dataset provided below, generate a comprehensive analysis that includes key insights and actionable recommendations.
+You are an expert data scientist. Based on the entire dataset provided below, generate a concise analysis with key insights and recommendations. Limit the response to 150 words.
 
 Dataset Summary:
 {dataset_summary}
 
-Analysis and Recommendations:
+Concise Analysis and Recommendations (max 150 words):
 """
 general_insights_prompt = PromptTemplate(template=general_insights_template, input_variables=['dataset_summary'])
 general_insights_chain = LLMChain(llm=llm, prompt=general_insights_prompt)