Create app.py

app.py

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+import os
+from google import genai
+import gradio as gr
+from dotenv import load_dotenv
+
+# Load .env if running locally
+load_dotenv()
+
+# Initialize Gemini client
+# The API key is read from the environment variable GEMINI_API_KEY
+client = genai.Client()
+
+# Define a function to generate a blog
+def generate_blog(topic, tone, length):
+    if not topic:
+        return "Please enter a topic to generate the blog."
+
+    prompt = f"""
+    You are a professional content writer. Write a detailed blog about "{topic}".
+    Tone: {tone}.
+    Length: {length} words approximately.
+    The blog should include:
+    - An engaging introduction
+    - Well-structured body paragraphs
+    - A clear conclusion
+    - Optional subheadings if needed
+    """
+
+    try:
+        # Generate content using Gemini 2.5 Flash
+        response = client.models.generate_content(
+            model="gemini-2.5-flash",
+            contents=prompt
+        )
+        return response.text
+    except Exception as e:
+        return f"Error generating blog: {e}"
+
+# Create a Gradio interface
+with gr.Blocks(title="AI Blog Generator ✍️") as demo:
+    gr.Markdown("## ✨ AI Blog Generator using Google Gemini 2.5 Flash")
+    gr.Markdown("Enter a topic and get a complete blog written by AI!")
+
+    with gr.Row():
+        topic = gr.Textbox(label="Blog Topic", placeholder="e.g., The Future of Artificial Intelligence")
+    with gr.Row():
+        tone = gr.Dropdown(
+            ["Informative", "Inspirational", "Casual", "Professional", "Friendly", "Persuasive"],
+            value="Informative",
+            label="Writing Tone"
+        )
+        length = gr.Slider(200, 2000, value=600, step=50, label="Approximate Length (words)")
+
+    generate_button = gr.Button("Generate Blog 🪄")
+    output = gr.Textbox(label="Generated Blog", lines=20)
+
+    generate_button.click(fn=generate_blog, inputs=[topic, tone, length], outputs=output)
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()