Update app.py

app.py

@@ -1,10 +1,27 @@
 import gradio as gr
 from transformers import pipeline
     
-def sentiment(name):
-    out = pipe(text)
-    return out
+def aspects(sentense):
+    sentense=[sentense]
+    sentimentdata=sentiment(sentense)
+    fit_score=process.default_scorer(sentense,fit)
+    mat_score=process.default_scorer(sentense,material)
+    price_score=process.default_scorer(sentense,price)
+    sentimentlabel=sentimentdata[0].get("label")
+    sentprobability=sentimentdata[0].get("score")    
+    return  sentimentlabel,sentprobability,fit_score,price_score,mat_score
 
 pipe = pipeline("sentiment-analysis")
-iface = gr.Interface(fn=sentiment, inputs="text", outputs="label")
-iface.launch()
+interface=gr.Interface(fn=aspects,inputs=gr.inputs.Textbox(lines=10,placeholder="please insert your text"),
+examples=[
+          ["this product and not fitting well to my body and feel scratchy"],
+        ["this fabric is super cool and feel very comfortable "]
+       
+    ],
+    title="Review Analyzer",
+                       outputs=[gr.outputs.Textbox(type="auto", label="Sentiment"),
+                                gr.outputs.Textbox(type="auto", label="Sentiment score"),
+                                gr.outputs.Textbox(type="auto", label="Fit related score"),
+                                gr.outputs.Textbox(type="auto", label="Price related score"),
+                                gr.outputs.Textbox(type="auto", label="Material related score")],live=True)
+interface.launch()