File size: 557 Bytes
77f3883
 
 
eb1a7ba
77f3883
 
eb1a7ba
77f3883
 
 
 
eb1a7ba
 
 
 
 
 
 
77f3883
 
eb1a7ba
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
import gradio as gr
from rag_pipeline import load_rag_chain

# Load the RAG chain once
rag_chain = load_rag_chain()

# Gradio interface
def ask_question(query):
    result = rag_chain.invoke(query)
    return result['result']

iface = gr.Interface(
    fn=ask_question,
    inputs=gr.Textbox(lines=3, placeholder="Ask something from your PDF...", label="Your Question"),
    outputs="text",
    title="🧠 Custom PDF Chatbot (Hugging Face)",
    description="Ask questions from your own uploaded PDF data."
)

if __name__ == "__main__":
    iface.launch()