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()

def detect_context_from_question(question):
    output = query({
        "inputs": f"context for '{question}' is:",
    })
    return output

def ask_question(question, context):
    output2 = query2({
        "inputs": {
            "question": question,
            "context": context
        },
    })
    return output2

iface = gr.Interface(
    fn=ask_question,
    inputs=[
        gr.Textbox("Enter your question", type="text", key="question"),
        gr.Textbox("Enter context", type="text", key="context"),
        "Detect Context", gr.Button(detect_context_from_question, key="detect_context_button"),
        "Ask", gr.Button("Ask", key="ask_button")
    ],
    outputs=gr.Textbox("Output", type="text"),
    live=True
)

iface.launch()