Update app.py

app.py

@@ -1,3 +1,34 @@
 import gradio as gr
 
-gr.Interface.load("models/Karim-Gamal/switch-base-8-finetuned-SemEval-2018-emojis-cen-2").launch()
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/Karim-Gamal/switch-base-8-finetuned-SemEval-2018-emojis-cen-1"
+headers = {"Authorization": "Bearer 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"}
+
+
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+
+def sketch_recognition(text):
+    
+    output_temp = query({
+    	"inputs": text,
+    })
+    
+    text_to_emoji = {'red' : '❤', 'face': '😍', 'joy':'😂', 'love':'💕', 'fire':'🔥', 'smile':'😊', 'sunglasses':'😎', 'sparkle':'✨', 'blue':'💙', 'kiss':'😘', 'camera':'📷', 'USA':'🇺🇸', 'sun':'☀' , 'purple':'💜', 'blink':'😉', 'hundred':'💯', 'beam':'😁', 'tree':'🎄', 'flash':'📸', 'tongue':'😜'}
+    
+    # Extract the dictionary from the list
+    d = output_temp[0]
+    
+    # Extract the text from the 'generated_text' key
+    text = d['generated_text']
+
+    return text_to_emoji[text.split(' ')[0]]
+    # Split the text into individual words
+    # pass# Implement your sketch recognition model here...
+
+gr.Interface(fn=sketch_recognition, inputs="text", outputs="text").launch()
+
+# gr.Interface.load("models/Karim-Gamal/switch-base-8-finetuned-SemEval-2018-emojis-cen-1").launch()