Delete Final_PersonaChat.py

Final_PersonaChat.py

@@ -1,109 +0,0 @@
-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)