Add application file

app.py

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+import gradio as gr
+from langchain_groq import ChatGroq
+from langchain.schema import SystemMessage, HumanMessage
+from config import GROQ_API_KEY
+
+# Initialize the Groq Model
+llm = ChatGroq(
+    temperature=0,
+    groq_api_key=GROQ_API_KEY,
+    model_name="llama3-8b-8192"
+)
+
+
+def blog_generator(Blog_Topic, Blog_Keyword, Blog_Tone, Blog_Numberofwords, Blog_Target_audiance):
+    """Generate a blog using Groq AI"""
+    system_prompt = f"""
+    You are an expert blog writer. Follow these instructions:
+    1. Write a blog on: {Blog_Topic}.
+    2. Include keywords: {Blog_Keyword}.
+    3. Use tone: {Blog_Tone}.
+    4. Limit to {Blog_Numberofwords} words.
+    5. Target audience: {Blog_Target_audiance}.
+    """
+
+    user_prompt = f"Write a blog on {Blog_Topic}, with keywords {Blog_Keyword}, tone {Blog_Tone}, {Blog_Numberofwords} words, for audience {Blog_Target_audiance}."
+
+    response = llm.invoke([SystemMessage(content=system_prompt), HumanMessage(content=user_prompt)])
+    return response.content
+
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("# 📝 AI Blog Generator")
+
+    with gr.Row():
+        topic = gr.Textbox(label="Blog Topic")
+        keyword = gr.Textbox(label="Keywords (comma-separated)")
+
+    with gr.Row():
+        tone = gr.Dropdown(["Formal", "Casual", "Professional"], label="Blog Tone")
+        words = gr.Slider(100, 1000, step=50, label="Number of Words")
+
+    audience = gr.Textbox(label="Target Audience")
+
+    generate_btn = gr.Button("Generate Blog")
+    output = gr.Textbox(label="Generated Blog", lines=10)
+
+    generate_btn.click(blog_generator, inputs=[topic, keyword, tone, words, audience], outputs=output)
+
+demo.launch()

config.py

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+import os
+
+# Securely fetch API Key from environment variable
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+if not GROQ_API_KEY:
+    raise ValueError("⚠️ GROQ_API_KEY is missing! Set it in your environment variables.")

requirements.txt

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+gradio
+langchain
+langchain_groq