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File size: 988 Bytes
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import gradio as gr
import requests
url = "https://api.edenai.run/v2/text/sentiment_analysis"
def sentiment_analysis(inp_text):
payload = {
"response_as_dict": True,
"attributes_as_list": False,
"show_original_response": False,
"providers": "google",
"text": inp_text,
"language": "ko"
}
headers = {
"accept": "application/json",
"content-type": "application/json",
"authorization": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyX2lkIjoiMWI0NzY4YzMtNmM0NC00NThiLTkyMjctNDFhMDVjZDlkZTMxIiwidHlwZSI6ImFwaV90b2tlbiJ9.6nsuq67zZlBXqpH0VUNud64Ii54ETQay0Antfslpsqg"
}
response = requests.post(url, json=payload, headers=headers)
return response.text
inp_text = gr.inputs.Textbox(label='Input')
response = gr.outputs.Textbox(label='Output')
gr.Interface(function=sentiment_analysis, inputs=inp_text, outputs=response, title='Sentiment Analysis', theme='peach').launch(enable_queue=True) |