Update app.py

app.py

@@ -1229,17 +1229,18 @@ def cache_response(query, response, ttl=3600):
 
 
 tavily_tool = TavilySearchResults(
-    search_depth="intermediate",
+    max_results=10,
+    search_depth="advanced",
+    topic="news",
+    days=1,
     include_answer=True,
-    include_raw_content=False,
-    include_images=False,
+    include_raw_content=True,
     # include_domains=[...],
-    # exclude_domains=[...],
+    exclude_domains=['example.com'],
     # name="...",            # overwrite default tool name
     # description="...",     # overwrite default tool description
     # args_schema=...,       # overwrite default args_schema: BaseModel
-)
-# Compile all tool functions into a list
+)# Compile all tool functions into a list
 tools = [
     knowledge_base_tool,  # Tool for querying the knowledge base and retrieving responses
     tavily_tool,
@@ -2158,31 +2159,36 @@ def handle_prompt(prompt):
                         add_dot_typing_animation()
                         display_typing_indicator()  
                 cleaned_text = ""
-                base_instructions = """
-                        *Be overly specific with details such as $dollar amounts, awards, people's names, and program titles*
-                        1. **Focus on Knowledge Base Data**:
-                           - When asked  using uploaded documents, files or using knowledgebase files, prioritize information fetch everything asked from there.
+                base_instructions="""
+                        Avoid Flowery language and ai words.Always include alof of  data of numbers,names,dollars, programs ,awards and action when finding trustbuilders from internet.*
+               
+                        1. **Adhere to Uploaded Document's Style**:
+                           - When asked uploaded files or document means knowledgebase.
+                           - Use the uploaded document as a primary guide for writing style, tone, and structure. Just directly give response.
+                           - Match formatting such as headings, subheadings, and paragraph styles. If the uploaded document lacks headings, Strictly do not include them in the response.
+                        
+                        2. **Prioritize Knowledge Base and Internet Sources**:
+                           - Use uploaded documents or knowledge base files as the primary source.
+                           - Perform a Google search to retrieve valid and correct internet links for references, ensuring only accurate and verified source links are used.
+                        
+                        3. **Avoid Flowery Language and AI Jargon**:
+                           - Use clear, professional language without exaggerated or vague expressions. Avoid jargon like "beacon," "realm," "exemplifies," etc.
                         
-                        2. **Eliminate Flowery Language and AI Jargon**:
-                           - Avoid unnecessary technical terms and complex vocabulary.
-                           
-                        3. **Provide Accurate, Factual Information with Valid Sources**:
-                           - When information is not available in the knowledgebase, search on Google.
-                           - Always include accurate and verifiable source links in your responses.for knowledgebase data also sources should be googled.
+                        4. **Ensure Accuracy**:
+                           - Provide only verifiable and accurate information. Do not include placeholders, fabricated URLs, or vague references.
                         
-                        4. **Content Guidelines**:
-                           - Do **not** use trust bucket names (e.g., Stability Trust, Benefit Trust etc.) in content.
-                           - Strictly avoid mentioning them in your responses.
-                   
-                 """
+                        - Give output in proper formatting.
+                        - Response in same  language in which asked. 
+                        -Use google to provide correct sources links containing the trustbuilder text information.
+                        """
 
 
                 
                 # Check if user request includes blog, article, or newsletter
                 if any(keyword in prompt.lower() for keyword in ["blog", "write","article","annual report","report", "newsletter","website introduction"]):
                    appended_instructions = (
-                    "Craft a flawless, engaging, and fluid compelling copy using *non-flowery language* that reads as though written by a professional copywriter having 25 years of experience. "
-                            "Do not use AI jargon, vague phrases, or  formal language. Follow these enhanced guidelines to ensure a polished, publication-ready copy with a 10/10 quality: "
+                            "Craft a flawless, engaging, and fluid compelling copy using *non-flowery language* that reads as though written by a professional copywriter having 25 years of experience. "
+                            "Do not use AI jargon, vague phrases, or  formal language.Donot mention trustbucket names in the headings and content. Follow these enhanced guidelines to ensure a polished, publication-ready copy with a 10/10 quality: "
                             "1. **Interconnected Structure**: Ensure all sections and ideas flow seamlessly with logical transitions between paragraphs. Build a cohesive narrative where every part supports the overall theme, reinforcing the message at every step. "                            
                             "3. **Seamless Integration of TrustBuilders®**: Naturally incorporate TrustBuilders® into the narrative without isolating or explicitly listing them in the main body. Instead, weave them fluidly into sentences to build credibility and trust while maintaining the content’s readability and engagement. "
                             "4. **Human Tone**: Write in a relatable, conversational tone that engages the reader and feels natural. Avoid repetitive phrasing, overly technical explanations, or mechanical structures. Use active voice consistently, ensuring the tone is both approachable and professional."
@@ -2191,14 +2197,13 @@ def handle_prompt(prompt):
                             "7. **Purpose-Driven Impact**: Clearly define and achieve the content’s purpose—whether to inform, persuade, or inspire action. Ensure every paragraph serves the overall objective while reinforcing the key message. "
                             "8. **Polished Presentation**: Ensure the final output is refined, professional, and suitable for publication. The copy should demonstrate mastery of language and content design, leaving no room for ambiguity or errors. "
                             "dont give source link in content"
-                             "Dont mention trust bucket names literally"
                              "1. ##List of TrustBuilders Used: Provide trustbuilders used followed by *Source links always*"
                              " 2. ##Heuristics and Creative Techniques :"
                              "   -List them in a footnote-style small heading."
                               "    Use the following structure:"
                               "      -Heuristics: Mention names only like examples (e.g., social proof, authority, commitment)."
                               "    -Creative Techniques: Mention names onlyexamples (list only relevant marketing techniques without additional details)."
-                             "The final output must not include AI jargons. *With every paragraph give a creative headline that summarises the content give sub-headlines with each paragraph like example headline: We Empower or Similar Phrases*. Avoid mentioning trustbucket names."
+                             "The final output must not include AI jargons. *With every paragraph give a creative headline that summarises the content give sub-headlines with each paragraph like example headline: Drive,empower use similar  words but  no driving, empowering etc *. Avoid mentioning trustbucket names."
                              "MOST IMPORTANT RULE. IN EVERY PARAGRAPH Strengthen the connections between sections to ensure smoother flow and SHOULD  BE DEEPLY INTERCONNECTED WITH EACH OTHER TO CREATE A SEAMLESS FLOW, MAKING THE CONTENT READ LIKE A SINGLE CONTENT RATHER THAN DISJOINTED PARAGRAPHS OR INDEPENDENT BLOG SECTIONS. EACH SECTION MUST LOGICALLY TRANSITION INTO THE NEXT, ENSURING THAT THE TOPIC REMAINS CONSISTENT AND RELEVANT THROUGHOUT. BY MAINTAINING A COHESIVE STRUCTURE, THE ARTICLE WILL ENGAGE READERS MORE EFFECTIVELY, HOLDING THEIR ATTENTION AND CONVEYING THE INTENDED MESSAGE WITH CLARITY AND IMPACT."
                     )
                 else:
@@ -2211,23 +2216,25 @@ def handle_prompt(prompt):
                         "chat_history": st.session_state.chat_history
                     })
                     full_response = output["output"]
+                    import html
+                    escaped_text = full_response.replace("$", "\$")
 
-                    cleaned_text = clean_text(full_response)
-                    formatted_text = clean_and_format_markdown(cleaned_text)
+                    #cleaned_text = clean_text(full_response)
+                    #formatted_text = clean_and_format_markdown(cleaned_text)
 
                     trust_tip, suggestion = get_trust_tip_and_suggestion()
-                    combined_text = f"{formatted_text}\n\n---\n\n**Trust Tip**: {trust_tip}\n\n**Suggestion**: {suggestion}"
+                    combined_text = f"{escaped_text}\n\n---\n\n**Trust Tip**: {trust_tip}\n\n**Suggestion**: {suggestion}"
 
                     with response_placeholder:
                         with st.chat_message("assistant"):
-                            st.write(combined_text)
+                            st.markdown(combined_text)
 
 
                 except Exception as e:
                     logging.error(f"Error generating response: {e}")
                     st.error("An error occurred while generating the response. Please try again.")
 
-                st.session_state.chat_history.append({"role": "assistant", "content": combined_text})
+                st.session_state.chat_history.append({"role": "assistant", "content": escaped_text})
                 copy_to_clipboard(combined_text)
                 st.session_state["handled"] = True  # Mark as handled