Update app.py

app.py

@@ -1,24 +1,17 @@
 import gradio as gr
 
-with gr.Blocks() as app:
-    gr.Markdown("# Emotion Decoder - Social Media Posts")
-    
-    with gr.Tab("Analyze Text"):
-        text_in = gr.Textbox(label="Paste Social Media Post Text")
-        text_out = gr.Textbox(label="Result")
-        text_button = gr.Button("Analyze Text")
-        text_button.click(fn=analyze_text, inputs=text_in, outputs=text_out)
-    
-    with gr.Tab("Analyze Face Image"):
-        face_in = gr.Image(type="filepath", label="Upload Face Image")
-        face_out = gr.Textbox(label="Result")
-        face_button = gr.Button("Analyze Face")
-        face_button.click(fn=analyze_face, inputs=face_in, outputs=face_out)
-    
-    with gr.Tab("Analyze Video File"):
-        video_in = gr.Video(label="Upload Social Media Video")
-        video_out = gr.Textbox(label="Result")
-        video_button = gr.Button("Analyze Video")
-        video_button.click(fn=analyze_video, inputs=video_in, outputs=video_out)
+from transforme import pipeline
+
+sentiment = pipeline("emoition-analysis")
+
+def get_emotion( input_text):
+    return emotion(input_text)
+
+iface =  gr.Inface(in = get_emotion,
+                  input = "text",
+                  outputs = ["text"],
+                  title = 'emotion analysis',
+                  description='get emotion negative/positive for the given input')
+
+iface.lanch(inline = false)
 
-app.launch(share=True)