initial commit

app.py

@@ -1,9 +1,31 @@
+from googletrans import Translator
 import gradio as gr
-description = "BigGAN text-to-image demo."
-title = "BigGAN ImageNet"
-interface = gr.Interface.load("https://huggingface.co/spaces/stabilityai/stable-diffusion", 
-            description=description,
-            title = title,
-            examples=[["american robin"]]
-)
-interface.launch()
+import requests
+
+url = "https://api.edenai.run/v2/text/sentiment_analysis"
+
+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)
+
+print(response.text)
+
+
+inp_text = gr.inputs.Textbox(label='Input')
+response.text = gr.outputs.Textbox(label='Output')
+
+gr.Interface(fn=translation, inputs=inp_text, outputs=response.text, title='Translation',theme='peach').launch(enable_queue=True)
+
+