Update app.py
Browse files
app.py
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@@ -15,7 +15,7 @@ from analytics import record_request, last_n_days_df, last_n_days_avg_time_df
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# --- Prompts ---
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PROMPT_NORMAL = """
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Based on the user's original query, provide a concise summary
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USER'S QUERY: "{query}"
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TEXT TO SUMMARIZE:
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---
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@@ -28,10 +28,9 @@ As a meticulous research analyst, your task is to synthesize the information fro
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**VERY IMPORTANT:** Your top priority is to provide information relevant to this current date and the future. If the user's query is about a recurring event (like an exam), you MUST focus on the upcoming or current event.
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**User's Original Query:** "{query}"
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**Instructions:**
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1. Combine information from different sources to create a coherent and detailed report.
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2. Cite source URLs inline, like this: "(Source: http://...)." The URL is provided in the text.
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3.
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4. Use clear markdown with headings and bold text.
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**Provided Search Results:**
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---
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{context_text}
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# --- Prompts ---
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PROMPT_NORMAL = """
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Based on the user's original query, provide a concise summary in shot form of the following text. Focus only on query releted information mention source url and Answer should be in correct order in timeline.
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USER'S QUERY: "{query}"
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TEXT TO SUMMARIZE:
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---
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**VERY IMPORTANT:** Your top priority is to provide information relevant to this current date and the future. If the user's query is about a recurring event (like an exam), you MUST focus on the upcoming or current event.
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**User's Original Query:** "{query}"
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**Instructions:**
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1. Combine information from different sources to create a coherent and detailed report dont include your personal opinion.
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2. Cite source URLs inline, like this: "(Source: http://...)." The URL is provided in the text.
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3. In the result, give only query related details which are completely different from the topic of the query, ignore them and make a summary in the detailed summary in the order of the timeline. .
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**Provided Search Results:**
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---
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{context_text}
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