Add Real Estate Chatbot Python Script

examples/python/tools/exa-tool/chile_government_services_assistant_.py

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+# # -*- coding: utf-8 -*-
+# """Chile_Government_Services_Assistant .ipynb
+
+# Automatically generated by Colab.
+
+# Original file is located at
+#     https://colab.research.google.com/drive/13IOn2Vhg0EUwuIGpVilImW0rEpYYMoFQ
+
+# # Chile Government Services Assistant - AI Chatbot
+
+# This notebook demonstrates how to use an AI-powered assistant to answer questions about Chilean government services and procedures, using the Firecrawl API and a friendly, step-by-step conversational approach.
+
+# [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Chile_Government_Services_Assistant.ipynb)
+
+# # Install dependencies
+# """
+
+# !pip install flask firecrawl praisonaiagents google-genai python-dotenv deep-translator
+
+# """# Set API Keys"""
+
+import os
+
+os.environ['FIRECRAWL_API_KEY'] = "your api key here"
+os.environ['OPENAI_API_KEY'] = "your api key here"
+
+# """# Import Libraries & Translator"""
+
+from firecrawl import FirecrawlApp, ScrapeOptions
+from deep_translator import GoogleTranslator
+import re
+
+def translate_to_spanish(text):
+    try:
+        return GoogleTranslator(source='auto', target='es').translate(text)
+    except Exception as e:
+        print("Translation to Spanish failed:", e)
+        return text
+
+def translate_to_english(text):
+    try:
+        # Remove Markdown images and None values before translation
+        text = str(text).replace("None", "")
+        text = re.sub(r'!\[.*?\]\(.*?\)', '', text)
+        return GoogleTranslator(source='auto', target='en').translate(text)
+    except Exception as e:
+        print("Translation to English failed:", e)
+        return text
+
+# """# Firecrawl Tool Class"""
+
+class FirecrawlTool:
+    def __init__(self, api_key, instruction: str, template: str):
+        if not api_key:
+            raise ValueError("Firecrawl API key not provided.")
+        self.app = FirecrawlApp(api_key=api_key)
+        self.instruction = instruction
+        self.template = template
+
+    def search(self, search: str) -> str:
+        if not search or len(search) < 5:
+            return "Error: Please provide a valid search query (at least 5 characters)."
+        response_md = ""
+        try:
+            search_result = self.app.search(
+                query=self.instruction + search,
+                limit=2,
+                country="cl",
+                lang="es",  # Always search in Spanish for best results
+                scrape_options=ScrapeOptions(formats=["markdown", "links"])
+            )
+            if search_result and hasattr(search_result, 'data') and search_result.data:
+                filtered_results = [
+                    result for result in search_result.data
+                    if str(result.get("url", "")).startswith("https://www.chileatiende.gob.cl/fichas") and not str(result.get("url", "")).endswith("pdf")
+                ]
+                if filtered_results:
+                    for num, result in enumerate(filtered_results, start=1):
+                        response_md += self.template.format(
+                            result_number=num,
+                            page_title=str(result.get("title", "")),
+                            page_url=str(result.get("url", "")),
+                            page_content=str(result.get("markdown", ""))
+                        )
+                    return response_md
+                else:
+                    return None
+            else:
+                return None
+        except Exception as e:
+            return f"Error during search: {e}"
+
+# """# Firecrawl Prompt Template"""
+
+# FIRECRAWL_INSTRUCTION = "ChileAtiende: "
+# FIRECRAWL_TEMPLATE = """
+# # Result {result_number}
+
+# ## Page Name:
+# "{page_title}"
+
+# ## URL:
+# {page_url}
+
+# ## Content:
+# {page_content}
+
+# """
+
+# """# Initialize Firecrawl Tool"""
+
+firecrawl_tool = FirecrawlTool(
+    api_key=os.environ['FIRECRAWL_API_KEY'],
+    instruction=FIRECRAWL_INSTRUCTION,
+    template=FIRECRAWL_TEMPLATE
+)
+
+# """# Main Chat Loop"""
+
+print("Hello! I am your ChileAtiende assistant, Tomás. How can I help you today?")
+print("You can ask me, for example: How to renew your ID card, How to apply for the Winter Bonus, etc.")
+
+while True:
+    user_input = input("\nYou: ")
+    if user_input.lower() in ["exit", "quit"]:
+        print("Tomás: It was a pleasure to help you. Goodbye!")
+        break
+
+    # Translate English input to Spanish for Firecrawl
+    spanish_query = translate_to_spanish(user_input)
+    spanish_answer = firecrawl_tool.search(spanish_query)
+
+    # Only translate if we got a real answer
+    if spanish_answer and isinstance(spanish_answer, str) and spanish_answer.strip() and "Error" not in spanish_answer:
+        try:
+            english_answer = translate_to_english(spanish_answer)
+            print("\nTomás (in English):\n", english_answer)
+        except Exception as e:
+            print(f"\nTomás: I found information, but couldn't translate it. Here it is in Spanish:\n{spanish_answer}\n(Translation error: {e})")
+    else:
+        print("\nTomás: Sorry, I couldn't find relevant information. Try rephrasing your question or ask about another service.")

examples/python/tools/exa-tool/legaliaai_minicourt.py

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+# # -*- coding: utf-8 -*-
+# """LegaliaAI_MiniCourt.ipynb
+
+# Automatically generated by Colab.
+
+# Original file is located at
+#     https://colab.research.google.com/drive/1Pc6GCFJN9Fyq_oP4MCtPmeTSt_AZmRMT
+
+# # ⚖️ Legalia AI - Mini Court Simulation
+
+# A simplified court case simulation with essential AI agents.
+
+# [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/LegaliaAI_MiniCourt.ipynb)
+
+# ## Install Dependencies
+# """
+
+# !pip install praisonaiagents openai python-dotenv
+
+# """## Import Libraries & Setup"""
+
+import os
+from dotenv import load_dotenv
+from IPython.display import display, HTML
+import time
+
+load_dotenv()
+
+# Setup API key
+api_key = os.getenv('OPENAI_API_KEY')
+if not api_key:
+    print("🔑 Enter your OpenAI API key:")
+    api_key = input("API Key: ").strip()
+    os.environ['OPENAI_API_KEY'] = "Enter your api key"
+
+print("✅ Setup complete!")
+
+# """## Create Mini Agents"""
+
+from praisonaiagents import Agent
+
+# Judge Agent
+judge = Agent(
+    name="Judge",
+    role="Preside over court proceedings",
+    llm="gpt-4o-mini",
+    instructions=[
+        "You are an impartial judge",
+        "Make fair decisions based on evidence",
+        "Keep responses under 100 words"
+    ],
+    markdown=True
+)
+
+# Prosecutor Agent
+prosecutor = Agent(
+    name="Prosecutor",
+    role="Present case against defendant",
+    llm="gpt-4o-mini",
+    instructions=[
+        "You are a prosecutor seeking conviction",
+        "Present evidence methodically",
+        "Keep responses under 80 words"
+    ],
+    markdown=True
+)
+
+# Defense Agent
+defense = Agent(
+    name="Defense",
+    role="Defend the accused",
+    llm="gpt-4o-mini",
+    instructions=[
+        "You are a defense attorney",
+        "Create reasonable doubt",
+        "Keep responses under 80 words"
+    ],
+    markdown=True
+)
+
+# Witness Agent
+witness = Agent(
+    name="Witness",
+    role="Provide testimony",
+    llm="gpt-4o-mini",
+    instructions=[
+        "You are a witness testifying",
+        "Provide factual testimony",
+        "Keep responses under 60 words"
+    ],
+    markdown=True
+)
+
+print("✅ Mini agents created!")
+
+"""# Case Details Input"""
+
+# Simple case details
+case_title = input("Case Title (e.g., 'State vs. Smith'): ") or "State vs. Smith"
+case_description = input("Case Description: ") or "Theft case involving stolen laptop"
+evidence = input("Key Evidence: ") or "Security camera footage and witness testimony"
+
+print(f"\n📋 Case: {case_title}")
+print(f"📝 Description: {case_description}")
+print(f"🔍 Evidence: {evidence}")
+
+"""# Helper Functions (Fixed with .start())## Cell 4: Case Details Input"""
+
+# Display function
+def show_message(name, role, message, color="#4CAF50"):
+    html = f"""
+    <div style="
+        background: {color};
+        color: white;
+        padding: 15px;
+        border-radius: 10px;
+        margin: 10px 0;
+    ">
+        <strong>⚖️ {name}</strong> • <em>{role}</em><br>
+        <div style="margin-top: 10px;">{message}</div>
+    </div>
+    """
+    display(HTML(html))
+
+# Run agent using .start()
+def run_agent(agent, prompt, name, role, color="#4CAF50"):
+    try:
+        response = agent.start(prompt)
+        show_message(name, role, response, color)
+        return response
+    except Exception as e:
+        show_message("System", "Error", str(e), "#f44336")
+        return ""
+
+"""## Mini Court Simulation"""
+
+# Mini court simulation
+print("🚀 Starting Mini Court Simulation...")
+
+# Day 1: Opening
+display(HTML(f"<h2>📅 Day 1: Opening Statements</h2>"))
+
+# Judge opens court
+judge_prompt = f"""
+You are Judge presiding over "{case_title}".
+Open the court proceedings professionally.
+Case: {case_description}
+Keep it brief and formal.
+"""
+judge_response = run_agent(judge, judge_prompt, "Judge", "Presiding Judge", "#8B4513")
+
+# Prosecutor opening
+prosecutor_prompt = f"""
+You are the Prosecutor for "{case_title}".
+Give your opening statement.
+Evidence: {evidence}
+Be confident and factual.
+"""
+prosecutor_response = run_agent(prosecutor, prosecutor_prompt, "Prosecutor", "State Attorney", "#d32f2f")
+
+# Defense opening
+defense_prompt = f"""
+You are the Defense Attorney for "{case_title}".
+Give your opening statement.
+Challenge the prosecution's case.
+Emphasize presumption of innocence.
+"""
+defense_response = run_agent(defense, defense_prompt, "Defense", "Defense Attorney", "#1976d2")
+
+time.sleep(1)
+
+# Day 2: Testimony
+display(HTML(f"<h2>📅 Day 2: Witness Testimony</h2>"))
+
+# Witness testimony
+witness_prompt = f"""
+You are a witness in "{case_title}".
+Provide your testimony about what you saw.
+Evidence: {evidence}
+Be factual and clear.
+"""
+witness_response = run_agent(witness, witness_prompt, "Witness", "Court Witness", "#ff9800")
+
+time.sleep(1)
+
+# Day 3: Verdict
+display(HTML(f"<h2>📅 Day 3: Final Verdict</h2>"))
+
+# Judge's verdict
+verdict_prompt = f"""
+You are Judge presiding over "{case_title}".
+Deliver your final verdict.
+Consider all evidence: {evidence}
+Be fair and explain your reasoning.
+"""
+verdict_response = run_agent(judge, verdict_prompt, "Judge", "Final Verdict", "#8B4513")
+
+print("\n✅ Mini court simulation completed!")
+
+# """# Summary"""
+
+print("🎯 Mini Legalia AI Complete!")
+print("\nThis simplified version demonstrates:")
+print("- 4 Essential Agents: Judge, Prosecutor, Defense, Witness")
+print("- 3-Day Trial: Opening, Testimony, Verdict")
+print("- Real-time Interaction: Each agent responds based on case context")
+print("- Easy Setup: Minimal dependencies and configuration")
+print("\nPerfect for quick demonstrations and learning! ⚖️")