Update app.py

app.py

@@ -86,7 +86,7 @@ def main():
     
     # Input: Query question for scoring and CSV file upload for candidate tweets
     query_input = st.text_area("Enter your query question❔ for analysis (this does not need to be part of the CSV):")
-    uploaded_file = st.file_uploader(f"Upload Tweets CSV File🗄️ (must contain a '{tweets_column}' column with preferably <300 tweets)", type=["csv"])
+    uploaded_file = st.file_uploader(f"Upload Tweets CSV File🗄️ (must contain a '{tweets_column}' column with preferably <1000 tweets)", type=["csv"])
     
     candidate_docs = []
     if uploaded_file is not None:
@@ -244,10 +244,9 @@ def main():
             # Build prompt
             messages = [
                 {"role": "user", "content": f"""
-Generate a well-structured business report based on tweets from twitter/X with sentiment score (0: negative, 1: neutral, 2: positive) that answers Query Question and meets following Requirements: 
+Generate a well-structured business report based on tweets from twitter/X with sentiment score (0: negative, 1: neutral, 2: positive) that answers Query Question and meets following Requirements. 
 **Requirements:**
-- Do not include any greeting, summary statement, or closing question.
-- Generate only the final report text, starting with the introduction, key insights, and ending with the conclusion.
+- Include an introduction, key insights, and a conclusion.
 - Ensure the analysis is concise and does not cut off abruptly. 
 - Summarize major findings without repeating verbatim.
 - Cover both positive and negative aspects, highlighting trends in user sentiment.