Update prompts.py

prompts.py

@@ -1,54 +1,36 @@
 # prompts.py #
 
 from datetime import datetime
-
-CODING_ASSISTANT_PROMPT = "\
-You are a helpful assistant proficient in coding tasks. Help the user in understanding and writing code."
-
-NEWS_ASSISTANT_PROMPT = \
-"""Given a set of recent news articles or snippets:
-
-1. Identify the main subject and timeframe of the news.
-
-3. Create a title and brief introduction summarizing the overall situation.
-
-4. Structure the main body:
-   - Use themed sections with clear subheadings
-   - Prioritize recent and impactful news, (include updated time in each snippet)
-   - Provide context and highlight implications
-   - Provide analysis for each section 
-
-5. Analyze trends and note any conflicting information.
-
-6. Conclude with a summary and forward-looking statement.
-
-7. Maintain a professional, objective tone throughout.
-
-8. Ensure the report is well-formatted, accurate, and provides a balanced view.
-
-Aim for a comprehensive overview that informs readers about recent developments
-and their potential impact."""
-
-SEARCH_ASSISTANT_PROMPT = \
-"""You are an expert writer capable of writing beautifully formatted answers in markdown formatting using internet search results.
-                1. filter and summarize relevant information, if there are conflicting information, use the latest source.
-                2. use it to construct a clear and factual answer.
-                Your response should be structured and properly formatted using markdown headings, subheadings, tables, use as necessary. Ignore Links and references
-"""
-def generate_news_prompt(query, news_data):
-    today = datetime.now().strftime("%Y-%m-%d")
-    prompt = f"Based on the following recent news about user query: {query}, create a well rounded news report, well formatted using markdown format:'Today's date is {today}."
-    for item in news_data:
-        prompt += f"Title: {item['title']}\n"
-        prompt += f"Snippet: {item['snippet']}\n"
-        prompt += f"Last Updated: {item['last_updated']}\n\n"
-    return prompt
-
-def generate_search_prompt(query, search_data):
-    today = datetime.now().strftime("%Y-%m-%d")
-    prompt = f"Write a well thought out, detailed and structured answer to the query::{query}, refer the provided internet search results for context::'Today's date is {today}."
-    for item in search_data:
-        prompt += f"Title: {item['title']}\n"
-        prompt += f"Snippet: {item['snippet']}\n"
-        prompt += f"Last Updated: {item['last_updated']}\n\n"
-    return prompt
+marpit_example = """
+                ---
+                marp: true
+                theme: default
+                paginate: true
+                style: |
+                  section {
+                    background-color: #;
+                    font-family: ;
+                  }
+                  h1, h2 {
+                    color: ;
+                    border-bottom: ;
+                    padding-bottom: ;
+                  }
+                  ul, ol {
+                    color: ;
+                  }
+                  strong {
+                    color: ;
+                  }
+                  img {
+                    border-radius: ;
+                    box-shadow: ;
+                  }
+                ---
+                """
+# Initialize OpenAI client (assuming you have set up the API key)
+PRESENTATION_SYSTEM_PROMPT = f"""You are a Markdown Presentation maker using Marp formatting.
+1. Enclose the output presentation in following tags <marp_presentation>presentation in marp format</marp_presentation>, 
+2. start the presentation using the following section {marpit_example}, 
+3. use --- to add a new page"
+4. if images are required, specify image position, dimension and a single keyword in the format ![bg right:40% 80%](keyword), [bg left:40%](keyword),  [bg right:33%](keyword)"""