Added Files

app.py

@@ -0,0 +1,72 @@
+import streamlit as st
+from langchain.prompts import PromptTemplate
+import google.generativeai as genai
+from langchain_google_genai import ChatGoogleGenerativeAI
+import pyperclip
+import os
+from dotenv import load_dotenv
+load_dotenv()
+
+def model():
+    genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+    return ChatGoogleGenerativeAI(model="gemini-pro")
+
+def getLLamaresponse(input_text,no_words,blog_style):
+    
+    ## Prompt Template
+
+    template="""
+        Write a {tone} blog for {blog_style} job profile for a topic {input_text}
+        within {no_words} words and ends with a conclusion. {info}.
+            """
+    
+    prompt=PromptTemplate(input_variables=['tone',"blog_style","input_text",'no_words', "info"],
+                          template=template)
+    
+    ## Generate the ressponse from the LLama 2 model
+    response=llm.invoke(prompt.format(tone=tone,blog_style=blog_style,input_text=input_text,no_words=no_words,info=info))
+    print(response)
+    return response.content
+
+def copy_text(answer, copy_button=False):
+    pyperclip.copy(answer)
+    if copy_button:
+        st.toast("Text copied to clipboard!", icon="📋")
+
+
+st.set_page_config(page_title="AI-Blogger",
+                    page_icon='🤖',
+                    layout='centered' )
+
+st.header("AI Blogger 🤖", divider='rainbow')
+
+
+input_text=st.text_input("Enter the Blog Topic")
+
+with st.sidebar:
+    st.title(' :blue[_AI Generated Blog_] 🤖')
+
+    # Refactored from <https://github.com/a16z-infra/llama2-chatbot>
+    st.subheader('Parameters')
+    
+    no_words = st.sidebar.slider('Maximum Characters', min_value=10, max_value=5000, value=1000, step=100)
+    blog_style=st.selectbox('Writing the blog for',
+                            ('Researchers','Data Scientist','Common People'),index=0)
+    tone=st.selectbox('Desired Tone',
+                            ('Informative','Casual','Persuasive', 'Formal', 'Humorous'),index=0)
+
+    info = st.text_input('Specific Instruction')
+    with st.spinner("Loading Model..."):
+        llm= model()
+        
+    
+submit=st.button("Generate Blog")
+
+
+## Final response
+if submit:
+    with st.spinner("Generating Blog..."):
+        answer = getLLamaresponse(input_text,no_words,blog_style)
+        st.success('Blog Generated!', icon="✅")
+        st.write(answer)
+        st.button("📋", on_click=copy_text(answer))

requirements.txt

@@ -0,0 +1,7 @@
+google-generativeai
+langchain-google-genai
+langchain
+streamlit
+pyperclip
+huggingface_hub
+python-dotenv