Create app.py

app.py

@@ -0,0 +1,16 @@
+human_read={"LABEL_0":"Negative",
+            "LABEL_1":"Positive"}
+sentimental=pipeline("text-classification", model="Dmyadav2001/Sentimental-Analysis")
+def predictive_model(texts):
+  result=sentimental(texts)
+  sentiment=human_read[result[0]["label"]]
+  score=result[0]["score"]
+  return sentiment, score
+
+interface=gr.Interface(fn=predictive_model,
+                      inputs="text",
+                      outputs=["text","number"],
+                      title="Sentiment-Analysis-App",
+                      description="Gave your text my machine is going to detect Positive / Negative "
+                      )
+interface.launch()