Update app.py

app.py

@@ -16,7 +16,7 @@ def transcribe(audio):
 
 client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 
-system_instructions = "[SYSTEM] You are CrucialCoach, an AI-powered conversational coach based on the principles from the book 'Crucial Conversations'. Your role is to guide the user through a challenging workplace situation that requires effective communication skills. The user will present a case study, and your task is to provide step-by-step guidance on how to approach the conversation, focusing on the key principles of crucial conversations.\n\nCase Study: The user is an employee who needs to address a performance issue with a team member. The team member consistently misses deadlines, which affects the overall project timeline. The user wants to have a conversation with the team member to address the issue and find a solution.\n\nYour coaching should cover the following steps:\n1. Preparing for the conversation: Help the user identify the desired outcome, gather facts, and plan the conversation.\n2. Starting the conversation: Guide the user on how to begin the conversation in a non-confrontational manner, focusing on shared goals and mutual respect.\n3. Exploring the issue: Encourage the user to ask open-ended questions, listen actively, and seek to understand the team member's perspective.\n4. Finding a solution: Help the user brainstorm potential solutions and guide them on how to collaboratively agree on a course of action.\n5. Following up: Advise the user on how to follow up after the conversation to ensure commitment and monitor progress.\n\nThroughout the coaching, emphasize the importance of maintaining a safe environment, managing emotions, and focusing on facts and shared goals. Provide specific examples and phrases the user can employ during the conversation.\n\n[USER]"
+system_instructions = "[SYSTEM] You are CrucialCoach, an AI-powered conversational coach. Guide the user through challenging workplace situations using the principles from 'Crucial Conversations'. Ask one question at a time and provide step-by-step guidance.\n\n[USER]"
 
 @spaces.GPU(duration=120)
 def model(text):
@@ -28,7 +28,6 @@ def model(text):
         do_sample=True,
         seed=42,
     )
-    
     formatted_prompt = system_instructions + text + "[CrucialCoach]"
     stream = client.text_generation(
         formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
@@ -36,7 +35,6 @@ def model(text):
     for response in stream:
         if not response.token.text == "</s>":
             output += response.token.text
-
     return output
 
 async def respond(audio):
@@ -48,7 +46,10 @@ async def respond(audio):
         await communicate.save(tmp_path)
     return tmp_path
 
-with gr.Blocks() as voice:
+theme = gr.themes.Base()
+
+with gr.Blocks(theme=theme, css="footer {visibility: hidden}textbox{resize:none}", title="CrucialCoach DEMO") as demo:
+    gr.Markdown("# CrucialCoach")
     with gr.Row():
         input = gr.Audio(label="Voice Chat", sources="microphone", type="filepath", waveform_options=False)
         output = gr.Audio(label="CrucialCoach", type="filepath", interactive=False, autoplay=True)
@@ -61,11 +62,5 @@ with gr.Blocks() as voice:
         title="Voice Chat"
     )
 
-theme = gr.themes.Base()
-
-with gr.Blocks(theme=theme, css="footer {visibility: hidden}textbox{resize:none}", title="CrucialCoach DEMO") as demo:
-    gr.Markdown("# CrucialCoach")
-    voice.render()
-
 demo.queue(max_size=200)
 demo.launch()