Update app.py

app.py

@@ -0,0 +1,66 @@
+import os
+import gradio as gr
+from groq import Groq
+
+# Load API key from environment variable
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+if not GROQ_API_KEY:
+    raise ValueError("Please set GROQ_API_KEY in your Hugging Face Space secrets.")
+
+client = Groq(api_key=GROQ_API_KEY)
+
+def generate_portfolio(name, skills, projects, tone):
+    prompt = f"""
+    Create a professional portfolio description.
+
+    Name: {name}
+    Skills: {skills}
+    Projects: {projects}
+    Tone: {tone}
+
+    The description should be engaging, clear, and suitable for a personal website.
+    """
+
+    try:
+        response = client.chat.completions.create(
+            model="llama-3.1-70b-versatile",
+            messages=[
+                {"role": "system", "content": "You are a professional content writer."},
+                {"role": "user", "content": prompt}
+            ],
+            temperature=0.7,
+            max_tokens=400
+        )
+
+        return response.choices[0].message.content
+
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("# 🚀 Portfolio Description Generator")
+
+    name = gr.Textbox(label="Your Name")
+    skills = gr.Textbox(label="Your Skills", placeholder="Python, ML, Web Dev")
+    projects = gr.Textbox(label="Your Projects", placeholder="Describe your work")
+    tone = gr.Dropdown(
+        ["Professional", "Casual", "Creative"],
+        label="Tone",
+        value="Professional"
+    )
+
+    output = gr.Textbox(label="Generated Description", lines=10)
+
+    btn = gr.Button("Generate")
+
+    btn.click(
+        fn=generate_portfolio,
+        inputs=[name, skills, projects, tone],
+        outputs=output
+    )
+
+if __name__ == "__main__":
+    demo.launch()