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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) |