Update

app.py

@@ -2,18 +2,22 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 import os
 
+# Load token and create client
 token = os.getenv("huggingface_token")
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta", token=token)
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
+# Load system messages from environment
+SYSTEM_MESSAGES = {
+    "LaunchPad": os.getenv("DEFAULT_SYSTEM_MESSAGE_1", "Default LaunchPad message."),
+    "MentorBot": os.getenv("DEFAULT_SYSTEM_MESSAGE_2", "Default MentorBot message."),
+    "CoachAI": os.getenv("DEFAULT_SYSTEM_MESSAGE_3", "Default CoachAI message."),
+}
+
+# Chat function used by Gradio UI
+def respond(message, history, persona, max_tokens, temperature, top_p):
+    system_message = SYSTEM_MESSAGES.get(persona, "Default fallback message.")
     messages = [{"role": "system", "content": system_message}]
+
     for user, assistant in history:
         if user:
             messages.append({"role": "user", "content": user})
@@ -33,10 +37,10 @@ def respond(
         response += token_piece
         yield response
 
-# Make a version of `respond` that's API-callable
-def chat_api(message, max_tokens, temperature, top_p):
-    # Create a minimal prompt with default system message and no chat history
-    messages = [{"role": "system", "content": DEFAULT_SYSTEM_MESSAGE}]
+# API-callable version
+def chat_api(message, persona, max_tokens, temperature, top_p):
+    system_message = SYSTEM_MESSAGES.get(persona, "Default fallback message.")
+    messages = [{"role": "system", "content": system_message}]
     messages.append({"role": "user", "content": message})
 
     output = ""
@@ -50,24 +54,23 @@ def chat_api(message, max_tokens, temperature, top_p):
         output += chunk.choices[0].delta.content
     return output
 
-DEFAULT_SYSTEM_MESSAGE = (
-    "I am Bilguun, a third year software engineering student at McGill University and the founder of VentureCircle. "
-    "VentureCircle is based in Montreal. "
-    "I created this chatbot, LaunchPad, to help aspiring entrepreneurs achieve their goals. "
-    "Your name is LaunchPad. "
-    "LaunchPad is a friendly AI assistant designed to provide useful and supportive guidance for starting and growing a startup."
-)
-
-# Main demo UI
+# Gradio UI
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value=DEFAULT_SYSTEM_MESSAGE, label="System message"),
+        gr.Dropdown(
+            choices=list(SYSTEM_MESSAGES.keys()),
+            value="LaunchPad",
+            label="Select Persona"
+        ),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
     ],
 )
 
-# Launch with /chat endpoint
-demo.launch(share=True, show_error=True).api(fn=chat_api, inputs=["text", "slider", "slider", "slider"], api_name="/chat")
+# Serve UI and API
+demo.launch(share=True, show_error=True)
+
+# To add an API endpoint, you must use FastAPI + mount if needed.
+# Ask if you'd like that added again.