Spaces:
Sleeping
Sleeping
File size: 934 Bytes
0ee1d88 af9ec9a 0ee1d88 f7f5d71 af9ec9a 9463770 bb9d070 6e1ab1e af9ec9a 31267be a01cd5c af9ec9a e64d9b1 af9ec9a 69e6331 0ee1d88 af9ec9a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
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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"}
API_URL2 = "https://api-inference.huggingface.co/models/valhalla/longformer-base-4096-finetuned-squadv1"
headers2 = {"Authorization": "Bearer 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"}
def query(q):
payload2 = "whats the context of the question " + q + " :"
response = requests.post(API_URL, headers=headers, json=payload2)
return response #.json() #['answer']
def query2(q, c):
payload = {"question": q, "context": c}
response = requests.post(API_URL2, headers=headers2, json=payload)
return response.json()['answer']
iface = gr.Interface(
fn=query,
inputs=[gr.Textbox("question")],
outputs=gr.Textbox("context"),
title="AI Interface",
description="Ask the AI model anything!",
)
iface.launch() |