learning how to use gradio?

app.py

@@ -133,20 +133,20 @@ def read_api():
         "languages": list(adapter_paths.keys()),
         "device": "CPU 16GB in Huggingface Space",
         "endpoints": {
-            "POST /generate": "Generate with streaming",
-            "GET /languages": "List available languages"
+            "POST /api/generate": "Generate with streaming",
+            "GET /api/languages": "List available languages"
         }
     }
 
 # return information about the langauge of the model
-@app.get("/languages")
+@app.get("/api/languages")
 def get_languages():
     return {
         "languages": list(adapter_paths.keys()),
     }
 
 # providing a response through a stream
-@app.post("/generate")
+@app.post("/api/generate")
 async def generate_stream_api(request: GenerateRequest):
 
     # because pydantic uses Message class
@@ -191,19 +191,24 @@ def chat_gradio(message, history, language, system_prompt, max_length, temperatu
     # only uses the last 10 messages to keep within context limit
     messages.extend(history[-10:])
 
-    messages.append({"role": "user", "content": message})
+    user_msg = {"role": "user", "content": message}
+    messages.append(user_msg)
 
-    partial_response = ""
+    assistant_msg = {"role": "assistant", "content": ""}
     for token in generate_text_stream(
         messages,
         language,
         max_length,
         temperature
     ):
-        partial_response += token
-        yield partial_response
+        assistant_msg["content"] += token
+        yield history + [user_msg, assistant_msg]
 
-with gr.Blocks(title="Language Learning Chatbot", theme=gr.themes.Soft()) as demo:
+with gr.Blocks(
+    title="Language Learning Chatbot", 
+    theme=gr.themes.Soft(),
+    queue=False    
+) as demo:
 
     with gr.Row():
         with gr.Column(scale=2):
@@ -289,11 +294,7 @@ with gr.Blocks(title="Language Learning Chatbot", theme=gr.themes.Soft()) as dem
         queue=False  # Don't queue this action
     )
 
-app = gr.mount_gradio_app(app, demo, path="/ui")
-
-@app.get("/")
-def redirect_to_ui():
-    return RedirectResponse(url="/ui/", status_code=302)
+app = gr.mount_gradio_app(app, demo, path="/")
 
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=7860)