app.py

# 🔐 Securely Set OpenAI API Key
import os
import getpass
os.environ["OPENAI_API_KEY"] = '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'  # <- Replace with your key


# 📚 Imports
from llama_index.core import VectorStoreIndex, download_loader
import gradio as gr

# 📖 Load PDFReader dynamically (works across versions)
PDFReader = download_loader("PDFReader")

# 🌐 Global variables to store index and query engine
index = None
query_engine = None

# 📥 Load and Process Resume PDF
def process_resume(file):
    global index, query_engine
    try:
        file_path = file.name

        loader = PDFReader()
        documents = loader.load_data(file_path)

        index = VectorStoreIndex.from_documents(documents)
        query_engine = index.as_query_engine()

        return "✅ Resume uploaded and indexed successfully."
    except Exception as e:
        return f"❌ Error processing resume: {str(e)}"

# ❓ Answer Questions About Resume
def query_resume(question):
    global query_engine
    if not query_engine:
        return "⚠ Please upload a resume first."
    try:
        response = query_engine.query(question)
        return str(response)
    except Exception as e:
        return f"❌ Error during query: {str(e)}"

# 📤 Gradio Interface for Resume Upload
upload_interface = gr.Interface(
    fn=process_resume,
    inputs=gr.File(label="Upload Resume (PDF)", file_types=[".pdf"]),
    outputs="text",
    title="📄 Resume Uploader",
    description="Upload your PDF resume to enable question-answering."
)

# 💬 Gradio Interface for Resume Querying
query_interface = gr.Interface(
    fn=query_resume,
    inputs=gr.Textbox(lines=2, placeholder="Ask something like: What are my skills?"),
    outputs="text",
    title="🤖 Resume Query Bot",
    description="Ask questions about your uploaded resume.",
    examples=[
        ["What is my email?"],
        ["What are my technical skills?"],
        ["List the projects I have done."],
        ["Where did I study?"],
        ["Do I have any certifications?"]
    ]
)

# 🧩 Combine Both Interfaces
app = gr.TabbedInterface(
    interface_list=[upload_interface, query_interface],
    tab_names=["Upload Resume", "Ask Questions"]
)

# 🚀 Launch the App
app.launch(share=True)