Update space

app.py

@@ -1,3 +1,6 @@
+# Created by Keivalya Pandya
+# using https://huggingface.co/docs/api-inference/tasks/chat-completion
+
 import gradio as gr
 from huggingface_hub import InferenceClient
 
@@ -6,14 +9,14 @@ For more information on `huggingface_hub` Inference API support, please check th
 """
 client = InferenceClient("microsoft/Phi-3-mini-4k-instruct")
 
-def yodaify_text(text):
-    """
-    Convert the assistant's response to Yoda-style speech.
-    """
-    words = text.split()
-    if len(words) > 4:
-        return f"{' '.join(words[2:])}, {words[0]} {words[1]}"
-    return f"{' '.join(words[::-1])}"
+# def yodaify_text(text):
+#     """
+#     Convert the assistant's response to Yoda-style speech.
+#     """
+#     words = text.split()
+#     if len(words) > 4:
+#         return f"{' '.join(words[2:])}, {words[0]} {words[1]}"
+#     return f"{' '.join(words[::-1])}"
 
 def respond(
     message,
@@ -46,8 +49,9 @@ def respond(
 
         response += token
         # Modify assistant response to Yoda-style speech
-        yoda_response = yodaify_text(response)
-        yield yoda_response
+        # yoda_response = yodaify_text(response)
+        # yield yoda_response
+        yield response
 
 
 """
@@ -56,7 +60,7 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a wise assistant who speaks like Yoda from Star Wars.", label="System message"),
+        gr.Textbox(value="You are Yoda from Star Wars.", 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(