app.py

import gradio as gr
import requests

API_URL = "https://api-inference.huggingface.co/models/tiiuae/falcon-7b-instruct"
headers = {"Authorization": "Bearer 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"}

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()

API_URL2 = "https://api-inference.huggingface.co/models/valhalla/longformer-base-4096-finetuned-squadv1"
headers2 = {"Authorization": "Bearer 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"}

def query2(payload):
    response = requests.post(API_URL2, headers=headers2, json=payload)
    return response.json()

class State:
    question = ""
    context = ""
    answer = ""

state = State()

def detect_context_from_question():
    state.question = detect_context_from_question.interface.inputs[0].value
    output = query({
        "inputs": f"context for '{state.question}' is:",
    })
    detect_context_from_question.interface.inputs[1].value = output  # Update the value of the context Textbox

def ask_question():
    state.question = ask_question.interface.inputs[0].value
    state.context = ask_question.interface.inputs[1].value
    output2 = query2({
        "inputs": {
            "question": state.question,
            "context": state.context
        },
    })
    ask_question.interface.outputs[0].value = output2  # Update the value of the answer Textbox

iface_detect = gr.Interface(
    fn=detect_context_from_question,
    inputs=[
        gr.Textbox(type="text", placeholder="Enter your question"),
        gr.Textbox(type="text", placeholder="Enter context"),
        gr.Button("Detect Context")
    ],
    live=True
)

iface_ask = gr.Interface(
    fn=ask_question,
    inputs=[
        gr.Textbox(type="text", placeholder="Enter your question"),
        gr.Textbox(type="text", placeholder="Enter context"),
        gr.Button("Ask")
    ],
    outputs=gr.Textbox(type="text", placeholder="Answer"),  # Single Textbox for the answer
    live=True
)

iface_detect.launch()
iface_ask.launch()