Update app.py

app.py

@@ -1,17 +1,15 @@
 import gradio as gr
 
-this_Markdown=(
-                    """**Chat with [Falcon-40B-Instruct](https://huggingface.co/tiiuae/falcon-40b-instruct), brainstorm ideas, discuss your holiday plans, and more!**
-                    ✨ This demo is powered by [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b), finetuned on the [Baize](https://github.com/project-baize/baize-chatbot) dataset, and running with [Text Generation Inference](https://github.com/huggingface/text-generation-inference). [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) is a state-of-the-art large language model built by the [Technology Innovation Institute](https://www.tii.ae) in Abu Dhabi. It is trained on 1 trillion tokens (including [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb)) and available under the Apache 2.0 license. It currently holds the 🥇 1st place on the [🤗 Open LLM leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). This demo is made available by the [HuggingFace H4 team](https://huggingface.co/HuggingFaceH4). 
-                    🧪 This is only a **first experimental preview**: the [H4 team](https://huggingface.co/HuggingFaceH4) intends to provide increasingly capable versions of Falcon Chat in the future, based on improved datasets and RLHF/RLAIF.
-                    👀 **Learn more about Falcon LLM:** [falconllm.tii.ae](https://falconllm.tii.ae/)
-                    ➡️️ **Intended Use**: this demo is intended to showcase an early finetuning of [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b), to illustrate the impact (and limitations) of finetuning on a dataset of conversations and instructions. We encourage the community to further build upon the base model, and to create even better instruct/chat versions!
-                    ⚠️ **Limitations**: the model can and will produce factually incorrect information, hallucinating facts and actions. As it has not undergone any advanced tuning/alignment, it can produce problematic outputs, especially if prompted to do so. Finally, this demo is limited to a session length of about 1,000 words.
-                    
+this_Markdown1=(
+                    """**
                     Give me something to say!
                     """)
+this_Markdown2=(
+                    """**
+                    say something and i will write it!
+                    """)
+
 
-print(this_Markdown)
 
 tts_examples = [
     "I love learning machine learning",
@@ -22,14 +20,14 @@ tts_demo = gr.load(
     "huggingface/facebook/fastspeech2-en-ljspeech",
     title=None,
     examples=tts_examples,
-    description=this_Markdown,
+    description=this_Markdown1,
 )
 
 stt_demo = gr.load(
     "huggingface/facebook/wav2vec2-base-960h",
     title=None,
     inputs="mic",
-    description="Let me try to guess what you're saying!",
+    description=this_Markdown2,
 )
 gr.api_name="additionss"
 demo = gr.TabbedInterface([tts_demo, stt_demo], ["Text-to-speech", "Speech-to-text"],css=".gradio-container {background-color: black}")