Update app.py

app.py

@@ -231,8 +231,7 @@ def ragent_reasoning(prompt: str, history: list[dict], max_tokens: int = 1024, t
 # Gradio UI configuration
 
 DESCRIPTION = """
-# Agent Dino 🌠 
-"""
+# Agent Dino 🌠 """
 
 css = '''
 h1 {
@@ -569,54 +568,42 @@ def generate(
             output_file = asyncio.run(text_to_speech(final_response, voice))
             yield gr.Audio(output_file, autoplay=True)
 
-# Gradio Chat Interface Setup and Launch with Sidebar
-
-with gr.Blocks(css=css) as demo:
-    with gr.Sidebar(label="Usage", open=True):
-        gr.Markdown(
-            """
-            ### About Space
-
-            This chat interface supports multiple commands:
-            - `@tts1` or `@tts2`: Triggers text-to-speech.
-            - `@image`: Generates an image using Stable Diffusion XL.
-            - `@3d`: Generates a 3D model using the ShapE pipeline.
-            - `@web`: Performs a web search or visits a webpage.
-            - `@rAgent`: Initiates a reasoning chain using Llama mode OpenAI.
-            """
-        )
-    chat_interface = gr.ChatInterface(
-        fn=generate,
-        additional_inputs=[
-            gr.Slider(label="Max new tokens", minimum=1, maximum=MAX_MAX_NEW_TOKENS, step=1, value=DEFAULT_MAX_NEW_TOKENS),
-            gr.Slider(label="Temperature", minimum=0.1, maximum=4.0, step=0.1, value=0.6),
-            gr.Slider(label="Top-p (nucleus sampling)", minimum=0.05, maximum=1.0, step=0.05, value=0.9),
-            gr.Slider(label="Top-k", minimum=1, maximum=1000, step=1, value=50),
-            gr.Slider(label="Repetition penalty", minimum=1.0, maximum=2.0, step=0.05, value=1.2),
-        ],
-        examples=[
-            ["@tts2 What causes rainbows to form?"],
-            ["@3d A birthday cupcake with cherry"],
-            [{"text": "summarize the letter", "files": ["examples/1.png"]}],
-            ["@image Chocolate dripping from a donut against a yellow background, in the style of brocore, hyper-realistic"],
-            ["@rAgent Explain how a binary search algorithm works."],
-            ["@web latest breakthroughs in renewable energy"],
-        ],
-        cache_examples=False,
-        type="messages",
-        description=DESCRIPTION,
-        fill_height=True,
-        textbox=gr.MultimodalTextbox(label="Query Input", file_types=["image"], file_count="multiple"),
-        stop_btn="Stop Generation",
-        multimodal=True,
-    )
+# Gradio Chat Interface Setup and Launch
+
+demo = gr.ChatInterface(
+    fn=generate,
+    additional_inputs=[
+        gr.Slider(label="Max new tokens", minimum=1, maximum=MAX_MAX_NEW_TOKENS, step=1, value=DEFAULT_MAX_NEW_TOKENS),
+        gr.Slider(label="Temperature", minimum=0.1, maximum=4.0, step=0.1, value=0.6),
+        gr.Slider(label="Top-p (nucleus sampling)", minimum=0.05, maximum=1.0, step=0.05, value=0.9),
+        gr.Slider(label="Top-k", minimum=1, maximum=1000, step=1, value=50),
+        gr.Slider(label="Repetition penalty", minimum=1.0, maximum=2.0, step=0.05, value=1.2),
+    ],
+    examples=[
+        ["@tts2 What causes rainbows to form?"],
+        ["@3d A birthday cupcake with cherry"],
+        [{"text": "summarize the letter", "files": ["examples/1.png"]}],
+        ["@image Chocolate dripping from a donut against a yellow background, in the style of brocore, hyper-realistic"],
+        ["@rAgent Explain how a binary search algorithm works."],
+        ["@web latest breakthroughs in renewable energy"],
+
+    ],
+    cache_examples=False,
+    type="messages",
+    description=DESCRIPTION,
+    css=css,
+    fill_height=True,
+    textbox=gr.MultimodalTextbox(label="Query Input", file_types=["image"], file_count="multiple"),
+    stop_btn="Stop Generation",
+    multimodal=True,
+)
 
-    # Ensure the static folder exists
-    if not os.path.exists("static"):
-        os.makedirs("static")
+# Ensure the static folder exists
+if not os.path.exists("static"):
+    os.makedirs("static")
 
-    from fastapi.staticfiles import StaticFiles
-    demo.app.mount("/static", StaticFiles(directory="static"), name="static")
+from fastapi.staticfiles import StaticFiles
+demo.app.mount("/static", StaticFiles(directory="static"), name="static")
 
 if __name__ == "__main__":
     demo.queue(max_size=20).launch(share=True)