Upload app.py

app.py

@@ -1,13 +1,40 @@
+#build theme
+
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!"
+def chat1(message,history):
+    history = history or []
+    message = message.lower()
+    if message.startswith("how many"):
+        response = ("1 to 10")
+    else:
+        response = ("whatever man")
+
+    history.append((message, response))
+    return history, history
+
+chatbot = gr.Chatbot()
+chatbot1 = gr.Chatbot()
+chatbot2 = gr.Chatbot()
+
+with gr.Blocks() as demo:
+    gr.Markdown("Efficient Fine Tuning - Bert Model for Text Classification")
+    with gr.Row():
+        with gr.Column():
+            inp = gr.Textbox(placeholder="Prompt",label= "Enter Query")
+            btn = gr.Button("Run")
+
+        with gr.Row():
+            with gr.Column():
+                out = gr.Textbox()
+            with gr.Column():    
+                out1 = gr.Textbox()
+            with gr.Column():
+                out2 = gr.Textbox()
+
+    btn.click(fn=chat1, inputs=inp, outputs=out)
+    btn.click(fn=chat1, inputs=inp, outputs=out1)
+    btn.click(fn=chat1, inputs=inp, outputs=out2)
 
-demo = gr.Interface(
-    fn=greet, 
-    inputs="textbox", 
-    outputs=["Model 1","Model 2", "Model 3"],
-)
-    
 if __name__ == "__main__":
-    demo.launch()  
+    demo.launch()