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.env

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+GOOGLE_API_KEY = "AIzaSyBBrePLC0eqi2LTVio-a7fyFKDqnoB9HdM"

app.py

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+import streamlit as st
+from langchain.prompts import PromptTemplate
+import os
+from dotenv import load_dotenv
+import google.generativeai as genai
+
+load_dotenv()
+
+# Configure API
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+def get_gemini_response(input_text, no_words, blog_style):
+    model = genai.GenerativeModel("gemini-pro")
+
+    # Prompt Template
+    template = """
+        Write a blog in {blog_style} style for the job profile. The topic is '{input_text}'.
+        The blog should be within {no_words} words.
+    """
+    
+    prompt = PromptTemplate(input_variables=["blog_style", "input_text", "no_words"],
+                            template=template)
+
+    # Generate prompt string
+    prompt_text = prompt.format(blog_style=blog_style, input_text=input_text, no_words=no_words)
+
+    # Generate response
+    response = model.generate_content(prompt_text)
+    
+    return response.text
+
+st.set_page_config(page_title="Generate Blogs",
+                    layout='centered',
+                    initial_sidebar_state='collapsed')
+
+#st.header("Generate Blogs 🤖")
+# App name
+st.markdown("<h4 style='text-align: center;'>Blog Generator</h4>", unsafe_allow_html=True)
+
+
+input_text = st.text_input("Enter the Blog Topic")
+
+# Creating two more columns for additional fields
+col1, col2 = st.columns([5, 5])
+
+with col1:
+    no_words = st.text_input('No of Words')
+with col2:
+    blog_style = st.selectbox('Writing the blog for',
+                              ('Researchers', 'Data Scientist', 'Students'), index=0)
+    
+submit = st.button("Generate")
+
+# Final response
+if submit:
+    if input_text and no_words and blog_style:
+        response = get_gemini_response(input_text, no_words, blog_style)
+        st.write(response)
+    else:
+        st.warning("Please fill in all fields.")

requirments.txt

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+streamlit
+langchain
+python-dotenv
+google-generativeai