update api url

app.py

@@ -1,7 +1,8 @@
 import time
 import gradio as gr
 
-API_URL = "https://joi-20b.ngrok.io/generate_stream"
+#Streaming endpoint
+API_URL = os.getenv("API_URL") + "/generate_stream"
 
 def predict(inputs, top_p, temperature, top_k, repetition_penalty, history=[]): 
     if not inputs.startswith("User: "):
@@ -44,7 +45,7 @@ def predict(inputs, top_p, temperature, top_k, repetition_penalty, history=[]):
         
         yield chat, history #resembles {chatbot: chat, state: history}  
 
-title = """<h1 align="center">Gradio Streaming</h1>"""
+title = """<h1 align="center">Gradio Supports Streaming</h1>"""
 description = """Language models can be conditioned to act like dialogue agents through a conversational prompt that typically takes the form:
 ```
 User: <utterance>
@@ -58,8 +59,8 @@ In this app, you can explore the outputs of the Joi alpha language models.
 
 with gr.Blocks(css = "#chatbot {height: 400px, overflow: auto;}") as demo:
     gr.HTML(title)
-    inputs = gr.Textbox(placeholder= "Hi my name is Joe.", label= "Type an input and press Enter") #t
     chatbot = gr.Chatbot(elem_id='chatbot') #c
+    inputs = gr.Textbox(placeholder= "Hi my name is Joe.", label= "Type an input and press Enter") #t
     state = gr.State([]) #s
     b1 = gr.Button()
 
@@ -75,6 +76,6 @@ with gr.Blocks(css = "#chatbot {height: 400px, overflow: auto;}") as demo:
     inputs.submit( predict, [inputs, top_p, temperature, top_k, repetition_penalty, state], [chatbot, state],)
     b1.click( predict, [inputs, top_p, temperature, top_k, repetition_penalty, state], [chatbot, state],)
 
-    gr.HTML(description)
+    gr.Markdown(description)
     demo.queue().launch(debug=True)