Delete app4.py

app4.py

@@ -1,43 +0,0 @@
-import streamlit as st
-from langchain_community.llms import OpenAI
-from langchain_google_genai import ChatGoogleGenerativeAI
-st.set_page_config(layout="wide")
-
-
-# Function to handle AI invocation and response
-def analyze_job_description(topic, model ):
-    prompt = (
-        f"As an HR Manager, I need you to analyze the following job description and identify the key technical skills, non technical skills or soft skills , further divide it nice-to-have skills, must-have skills,  required for the role: {topic}. "
-        "The post should be concise, informative, and suitable for a professional audience. "
-        "List top 5 points for technical skills, nice-to-have skills, must-have skills, and soft skills required for the role."
-    )
-        
-    if model == "Open AI":
-        # llm = OpenAI(openai_api_key=st.secrets["OPENAI_API_KEY"])
-        response ="Whoops! Looks like someone's got champagne tastes on a lemonade budget. How about we explore those other options for now? 😉"
-        return response
-    elif model == "Gemini":
-        llm = ChatGoogleGenerativeAI(model="gemini-pro", google_api_key=st.secrets["GOOGLE_API_KEY"])
-        result = llm.invoke(prompt)
-        return result.content
-
-def main():
-    st.title("JD Analysis")
-    # Radio selection for AI model
-    st.header("Select AI:")
-    model = st.radio("Model", [ "Gemini","Open AI",])
-    st.write("Selected option:", model)
-    
-    # Text area for job description input
-    with st.form("my_form"):
-        topic = st.text_area("Copy Paste the JD here:")
-        submitted = st.form_submit_button("Analyze Now")
-        if submitted and topic:
-            result = analyze_job_description(topic, model )
-            st.info(result)
-        elif submitted and not topic:
-            st.error("Please enter a JD details to analyze.")
-
-
-if __name__ == "__main__":
-    main()