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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:",
})
return output['context']
def ask_question_ui():
question = gr.textbox("Enter your question:")
context = gr.textbox("Enter context:")
output2 = query2({
"inputs": {
"question": question,
"context": context
},
})
return output2
iface_context = gr.Interface(fn=inference_ui, inputs="text", outputs="text", live=True)
iface_ask_question = gr.Interface(fn=ask_question_ui, inputs=["text", "text"], outputs="text", live=True)
iface_context.launch(share=True)
iface_ask_question.launch(share=True)
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