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 inference_ui(question):
    output = query({
        "inputs": f"context for '{question}' is:",
    })
    output2 = query2({
        "inputs": {
            "question": question,
            "context": output
        },
    })
    return output2

iface = gr.Interface(fn=inference_ui, inputs="text", outputs="text")
iface.launch()