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Update app.py
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app.py
CHANGED
@@ -91,7 +91,7 @@ def build_prompt(query_input, sampled_docs):
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system_message = """You are an helpful assistant. Read the Tweets with their sentiment (Negative, Neutral, Positive) provided and produce a well-structured report that answers the query question.
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Your task:
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- Summarize both positive and negative aspects, highlighting any trends in user sentiment.
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- Include an introduction, key insights, and a conclusion, reaching about
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- DO NOT repeat these instructions or the user's query in the final report. Only provide the final text."""
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user_content = f"""**Tweets**:
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@@ -122,7 +122,7 @@ def main():
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# Input: Query question for analysis and CSV file upload for candidate tweets
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query_input = st.text_area("Enter your query question❓for analysis (Format: How do these people feel about ...?) (this does not need to be part of the CSV):")
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uploaded_file = st.file_uploader(f"Upload Tweets CSV File🗄️(must contain a '{tweets_column}' column with preferably <
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candidate_docs = []
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if uploaded_file is not None:
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system_message = """You are an helpful assistant. Read the Tweets with their sentiment (Negative, Neutral, Positive) provided and produce a well-structured report that answers the query question.
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Your task:
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- Summarize both positive and negative aspects, highlighting any trends in user sentiment.
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- Include an introduction, key insights, and a conclusion, reaching about 400 words.
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- DO NOT repeat these instructions or the user's query in the final report. Only provide the final text."""
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user_content = f"""**Tweets**:
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# Input: Query question for analysis and CSV file upload for candidate tweets
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query_input = st.text_area("Enter your query question❓for analysis (Format: How do these people feel about ...?) (this does not need to be part of the CSV):")
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uploaded_file = st.file_uploader(f"Upload Tweets CSV File < 1MB🗄️(must contain a '{tweets_column}' column with preferably <1000 tweets)", type=["csv"])
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candidate_docs = []
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if uploaded_file is not None:
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