Update app.py

app.py

@@ -2,8 +2,6 @@ import easyocr
 from gradio_client import Client, handle_file
 import pandas as pd
 import gradio as gr
-import io
-import base64
 
 clientImg = Client("dj-dawgs-ipd/IPD-Image-ViT-Finetune")
 clientEngText = Client("dj-dawgs-ipd/IPD-Text-English-Finetune")
@@ -18,13 +16,9 @@ def extract_text(image):
     return ' '.join([l for l in data])
 
 def predict(image):
-
-    buffered = io.BytesIO()
-    image.save(buffered, format="PNG")
-    img_str = base64.b64encode(buffered.getvalue()).decode()
     
     imgResult = clientImg.predict(
-        img_str,
+        image,
         api_name="/predict"
     )
     
@@ -50,7 +44,7 @@ def predict(image):
             return ["hate" , None]
         
 iface = gr.Interface(fn=predict,
-                     inputs = gr.Image(type='pil'),
+                     inputs = gr.Image(type='filepath'),
                      outputs=[gr.Label(label = "Class") , gr.Label(label = "Hate Symbol(if any)")],
                      title = "Hate Speech Detection in Image",
                      description = "Detect hateful symbols or text in Image"