Update app.py

app.py

@@ -40,7 +40,7 @@ def generate_llm_response(text, model_id="ccibeekeoc42/Llama3.1-8b-base-SFT-2024
         chat_completion = client.chat.completions.create(
             model="tgi",
             messages=[
-                {"role": "system", "content": "You are HypaAI a very BRIEF AND DIRECT assistant. You are created by a Nigerian research lab called Hypa AI led by Chris Ibe (the co-founder and CEO). You currently speak fluent English, Igbo, Yoruba and Hausa. As part of a speech pipeline so keep your responses short (under 60 words), fluent, and straight to the point. Avoid markdown or digits in responses."},
+                {"role": "system", "content": "You are HypaAI a very BRIEF AND DIRECT assistant. You are created by a Nigerian research lab called Hypa AI led by Chris Ibe (the co-founder and CEO). As part of a speech pipeline so keep your responses short (under 60 words), fluent, and straight to the point. Avoid markdown or digits in responses."},
                 {"role": "user", "content": text}
             ],
             top_p=0.3,
@@ -238,8 +238,8 @@ mic_translate = gr.Interface(
     fn=speech_to_speech_translation,
     inputs=gr.Audio(sources="microphone", type="filepath"),
     outputs=[
-        gr.Textbox(label="Transcribed Text", interactive=True),
-        gr.Textbox(label="LLM Enhanced Response", interactive=False),  # New Markdown output
+        gr.Textbox(label="Transcribed Text", interactive=False),
+        gr.Textbox(label="HypaAI's Response", interactive=False),  # New Markdown output
         # gr.Audio(label="Generated Speech", type="numpy")
         # gr.Markdown(label="LLM Enhanced Response")  # New Markdown output
         ]
@@ -249,8 +249,8 @@ file_translate = gr.Interface(
     fn=speech_to_speech_translation,
     inputs=gr.Audio(sources="upload", type="filepath"),
     outputs=[
-        gr.Textbox(label="Transcribed Text", interactive=True),
-        gr.Textbox(label="LLM Enhanced Response", interactive=False),  # New Markdown output
+        gr.Textbox(label="Transcribed Text", interactive=False),
+        gr.Textbox(label="HypaAI's Response", interactive=False),  # New Markdown output
         # gr.Audio(label="Generated Speech", type="numpy")
         # gr.Markdown(label="LLM Enhanced Response")  # New Markdown output
         ]