app.py

import gradio as gr
import google.generativeai as genai

# Configure your Gemini API key
genai.configure(api_key="AIzaSyCCkG05NQrWCoO9kNeWoI1Y83ltdmYKiNM")  # Replace with your real key

# Use the correct model that supports text-only chat
model = genai.GenerativeModel(model_name="models/gemini-1.5-flash")

# Prediction function
def predict_role(skills):
    try:
        prompt = f"""
You are a smart career advisor AI. Based on the following skills: {skills}, suggest the most suitable job title.

Respond ONLY with a clear job title, like:
- Data Analyst
- Full Stack Developer
- DevOps Engineer

Don't repeat the input. Output one job title only.
"""
        response = model.generate_content(prompt)
        result = response.text.strip()

        # Clean result
        if "\n" in result:
            result = result.split("\n")[0]
        if result.startswith("- "):
            result = result[2:]

        return result
    except Exception as e:
        return f"❌ Error: {str(e)}"

# Gradio app
gr.Interface(
    fn=predict_role,
    inputs=gr.Textbox(lines=2, placeholder="e.g., Python, SQL, Docker"),
    outputs="text",
    title="Career Predictor",
    description="Enter your tech skills. Get a predicted job title."
).launch()