Message

app.py

@@ -33,24 +33,41 @@ 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}]
+    messages.append({"role": "user", "content": message})
+
+    output = ""
+    for chunk in client.chat_completion(
+        messages,
+        max_tokens=max_tokens,
+        stream=True,
+        temperature=temperature,
+        top_p=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
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(
-            value=(
-                "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."
-            ),
-            label="System message"
-        ),
+        gr.Textbox(value=DEFAULT_SYSTEM_MESSAGE, label="System message"),
         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)"),
     ],
 )
 
-if __name__ == "__main__":
-    demo.launch(share=True, show_error=True)
+# Launch with /chat endpoint
+demo.launch(share=True, show_error=True).api(fn=chat_api, inputs=["text", "slider", "slider", "slider"], api_name="/chat")