Keeping the prompt

app.py

@@ -3,9 +3,11 @@ import gradio as gr
 import requests
 import pandas as pd
 from dotenv import load_dotenv
-from langchain_openai import ChatOpenAI
+from langchain import hub
+from langchain_openai import ChatOpenAI 
 from langchain.agents import create_react_agent, AgentExecutor
 from langchain_core.prompts import PromptTemplate
+from langchain_core.messages import AIMessage, HumanMessage
 from tools.web_searcher import web_search_tool
 from tools.calculator import calculator_tool
 from tools.file_reader import read_file_tool
@@ -25,27 +27,30 @@ tools = [
     code_reviewer,
     web_scraper_tool
 ]
-tool_names = ", ".join([tool.name for tool in tools])
 
 # === Model ===
 model = ChatOpenAI(model="gpt-4o", api_key=os.getenv("OPENAI_API_KEY"))
 
 # === ReAct Prompt ===
-template = """
-You are an expert AI assistant, capable of using tools when necessary to answer questions. Follow these strict rules:
-
-1. For web-based questions (e.g., Wikipedia, IOC, search), use web_search_tool or web_scraper_tool.
-2. For file-based questions (e.g., Excel, PDF, JSON), use file_reader.
-3. For math or calculation questions, use calculator.
-4. For code-related questions, use code_review.
-5. If the question requires multiple tools, combine them logically.
-6. Always answer exactly in the format requested (e.g., single name, city, number, or code). No explanations or extra text.
-7. If you cannot answer, say: "No answer found."
-8. Do not guess. Always verify using tools when available.
-9. For YouTube/video links, use web_scraper_tool to access the content.
-10. Follow the structure below to reason step by step.
-
-Available tools: {tools}
+template = '''Answer the following questions as best you can. You have access to the following tools:
+
+{tools}
+
+Strict rules to follow:
+1️⃣ Use tools when needed: web_search_tool for external information, file_reader for file data, calculator for math, code_reviewer for code questions, web_scraper for web content.
+2️⃣ Combine tools logically for multi-step problems.
+3️⃣ Format answers exactly as requested: single name, city, code, or number—no extra text.
+4️⃣ If a link is provided, use web_search_tool or web_scraper to extract the information.
+5️⃣ Do not guess; if information is unavailable, say: 'No answer found.'
+6️⃣ Be precise, factual, and avoid hallucination. Verify using tools.
+
+Use the following format for every question:
+
+Question: the input question you must answer
+Thought: reasoning about what to do
+Action: the action to take, one of [{tool_names}]
+Action Input: the input to the action
+Observation: the result of the action
 
 Use the following format:
 
@@ -61,8 +66,7 @@ Final Answer: the final answer to the original input question
 Begin!
 
 Question: {input}
-{agent_scratchpad}
-"""
+Thought:{agent_scratchpad}'''
 
 react_prompt = PromptTemplate.from_template(template)
 
@@ -99,24 +103,13 @@ def process_question(profile: gr.OAuthProfile | None):
 
         try:
             result = agent_executor.invoke({"input": question_text})
-            output_text = result.get("output") if isinstance(result, dict) else result
-            final_answer = None
-            if isinstance(output_text, str):
-                for line in output_text.strip().split("\n"):
-                    if line.strip().lower().startswith("final answer:"):
-                        final_answer = line.split(":", 1)[1].strip()
-                        break
-            if not final_answer:
-                final_answer = "No answer found."
-
+            final_answer = result["output"] if isinstance(result, dict) else result
             answers_payload.append({"task_id": task_id, "submitted_answer": final_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": final_answer})
-
         except Exception as e:
-            error_msg = f"[ERROR: {e}]"
-            answers_payload.append({"task_id": task_id, "submitted_answer": error_msg})
-            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": error_msg})
-        time.sleep(1)  # Rate limit safety
+            answers_payload.append({"task_id": task_id, "submitted_answer": f"[ERROR: {e}]"})
+            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"[ERROR: {e}]"})
+        time.sleep(1)  # slight delay to avoid rate limits
 
     submission_data = {"username": username, "agent_code": agent_code, "answers": answers_payload}
 

requirements.txt

@@ -8,5 +8,3 @@ langchain_openai
 langchain_community
 PyPDF2
 beautifulsoup4
-langchain-openai
-langchain-core