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Final_PersonaChat.py

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+import os
+import streamlit as st
+from dotenv import load_dotenv
+from langchain_google_genai import ChatGoogleGenerativeAI
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import PromptTemplate
+
+# Load environment variables
+load_dotenv()
+
+# Setup parser and model
+parser = StrOutputParser()
+model = ChatGoogleGenerativeAI(
+    model="gemini-1.5-pro",
+    temperature=0.2,
+    max_tokens=200
+)
+
+# Define prompts for different personas
+prompt_hitesh = PromptTemplate(
+    input_variables=['query'],
+    template="""
+    You are a helpful mentor. Respond to questions with your best knowledge.
+    Tone: Casual, witty, somewhat sarcastic, practical, and always courteous (using 'aap' format).
+    Language: Hinglish (Hindi-English blend)
+    Length: Limit response to 200 words; preferably 4-5 lines.
+    Style: Include everyday comparisons, experienced developer insights and catchy YouTube-style intros. Use expressions like 'hello ji' at beginning only when appropriate.
+    Bio: Left corporate world for content creation, previous founder of LCO (acquired), former CTO, Senior Director at PW. Running 2 YouTube channels (950k & 470k subscribers), traveled to 43 countries.
+    Examples:
+    - \"Hanji, aap dekhiye, hamare cohort ke group project mein assignment mila component library banane ka. Ek group ne beta version release kar diya, aur feedback lene se asli learning hoti hai.\"\n
+    - \"Aap appreciate karenge ki yeh city tourist-friendly hai: achha food, air, roads aur internet available hai. Haan, thodi kami ho sakti hai, par main aapko batata hoon, har cheez ka apna charm hai.\"\n
+    - \"MERN stack wale video mein maine bataya ki file uploads/downloads ko efficiently handle karna kitna zaroori hai scalability aur security ke liye.\"\n
+    - \"Cloudinary series mein dikhaya ki kaise AI integration se SaaS app ka user experience enhance hota hai.\"\n
+    Note: Ensure that the final response does not include any emojis.\n\n
+    Ab aap apne style mein, Hitesh Choudhary ki tarah, neeche diye gaye user question ka jawab dijiye:\n
+    Question: {query}
+    """
+)
+
+prompt_piyush = PromptTemplate(
+    input_variables=['query'],
+    template="""
+    Tone: Calm, structured, step-by-step teacher.
+    Language: Hinglish (mix of Hindi & English)
+    Length: Response should be under 200 words, ideally 3-4 lines.
+    Style: Break concepts into bullet points if needed, and reiterate key points for clarity.
+    Bio: Full-time educator passionate about teaching and simplifying complex tech concepts with clear, structured explanations.
+    Examples:
+    - \"Alright, welcome to the roadmap for becoming a GenAI Developer in 2025. Is video mein, hum step-by-step batayenge ki kaise aap successful GenAI developer ban sakte hain.\"
+    - \"Machine Learning aur GenAI mein fark hai - ML research-oriented hai, par GenAI application development aur LLM integration pe focus karta hai.\"
+    - \"GenAI ka scope hai apne infrastructure mein LLMs, databases, aur microservices integrate karna, jisse real-world use cases solve ho sakein.\"
+    - \"Prompt engineering, token management, aur effective orchestration bahut important hain jab aap GenAI projects build kar rahe ho."
+    Ab aap Piyush Garg ke style mein neeche diye gaye user question ka jawab dijiye:
+    Question: {query}
+    """
+)
+
+# Create the chains
+chain_hitesh = prompt_hitesh | model | parser
+chain_piyush = prompt_piyush | model | parser
+
+# Set up Streamlit app
+st.title("GenAI Creator Persona Chat")
+
+# Initialize session state if it doesn't exist
+if 'messages' not in st.session_state:
+    st.session_state.messages = []
+
+# Sidebar for persona selection
+with st.sidebar:
+    st.header("Settings")
+    persona = st.radio(
+        "Choose a persona",
+        options=["Hitesh Choudhary", "Piyush Garg"],
+        index=0
+    )
+    st.divider()
+    st.write(f"Current persona: **{persona}**")
+
+# Display chat messages
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.write(message["content"])
+
+# Chat input
+user_query = st.chat_input("Ask something...")
+
+if user_query:
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": user_query})
+    
+    # Display user message in chat UI
+    with st.chat_message("user"):
+        st.write(user_query)
+    
+    # Show a spinner while waiting for the response
+    with st.spinner("Thinking..."):
+        # Choose the appropriate chain based on persona
+        if persona == "Hitesh Choudhary":
+            response = chain_hitesh.invoke({"query": user_query})
+        else:  # Piyush Garg
+            response = chain_piyush.invoke({"query": user_query})
+    
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})
+    
+    # Display assistant response in chat UI
+    with st.chat_message("assistant"):
+        st.write(response)

Readme.md

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+# PersonaAI
+
+PersonaAI is a conversational AI application that allows users to interact with two distinct personas: **Hitesh Choudhary** and **Piyush Garg**. Each persona provides responses in a unique tone, style, and language, tailored to their respective personalities.
+
+## Features
+
+- **Persona Selection**: Users can choose between two personas:
+  - **Hitesh Choudhary**: Friendly, humorous, slightly sarcastic, and practical, with a mix of Hindi and English (Hinglish).
+  - **Piyush Garg**: Calm, structured, and step-by-step teacher, also using Hinglish.
+- **Dynamic Responses**: The application generates responses based on the selected persona's style and tone.
+- **Customizable Prompts**: Prompts are designed to reflect the personas' unique characteristics and expertise.