app.py

import gradio as gr
import requests

def generate_cover_letter(resume, job_desc):
    prompt = f"""
You are a career coach. Write a tailored, ATS-optimized, professional cover letter based on the resume and job description below.

Resume:
{resume}

Job Description:
{job_desc}

The letter should be concise, engaging, and show why the candidate is a good fit.
"""

    try:
        response = requests.post(
            "https://piapi.ai/api/deepseek",
            headers={"Content-Type": "application/json"},
            json={
                "prompt": prompt,
                "system": "You are a helpful assistant.",
                "temperature": 0.8
            },
            timeout=20  # prevent hanging
        )

        # Check if the response body is valid JSON
        if response.status_code == 200:
            try:
                data = response.json()
                return data.get("response", "⚠️ API responded but didn't return any text.")
            except Exception as e:
                return f"❌ JSON decode failed — maybe HTML or empty: {str(e)}\nRaw response:\n{response.text}"
        else:
            return f"❌ API returned error code {response.status_code}:\n{response.text}"

    except requests.exceptions.RequestException as e:
        return f"❌ Request failed:\n{str(e)}"

# Gradio UI
gr.Interface(
    fn=generate_cover_letter,
    inputs=[
        gr.Textbox(label="Paste Your Resume", lines=12, placeholder="Paste your resume here..."),
        gr.Textbox(label="Paste Job Description", lines=10, placeholder="Paste the job description here...")
    ],
    outputs=gr.Textbox(label="Generated Cover Letter"),
    title="AI Cover Letter Generator (DeepSeek LLM)",
    description="Paste your resume and job description. Click 'Submit' to generate a personalized, professional cover letter using DeepSeek via PiAPI (no key needed)."
).launch()