Update app.py

app.py

@@ -1,64 +1,46 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+from sentence_transformers import SentenceTransformer
+import torch
+import numpy as np # import libraries
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+client = InferenceClient("microsoft/phi-4")
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+def respond(message, history):
+  #context = get_relevent_context(message, top_k=3)
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
 
-    messages.append({"role": "user", "content": message})
 
-    response = ""
+    messages = [{"role": "system", "content": "You are a friendly chatbot."}]
 
-    for message in client.chat_completion(
+    if history:
+        messages.extend(history)
+    messages.append({"role": "user", "content": message})
+    response = client.chat_completion(
         messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+        max_tokens=100
+    )
+    return response['choices'][0]['message']['content'].strip()
+chatbot = gr.ChatInterface(respond, type="messages")
 
-        response += token
-        yield response
+title = "Kpop chatbot"
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+topics = """
+Welcome to Kpop Song Hunters!
 """
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", 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()
+disclaimer = ""
+with gr.Blocks() as chatbot:
+    with gr.Row():
+        with gr.Column(scale=1):   # ← LEFT COLUMN (sidebar)
+            gr.Markdown(title)     # Shows your "# :rocket: Lift Off :rocket: "heading
+            gr.Markdown(topics)    # Shows your welcome text & bullet list
+        with gr.Column(scale=2):   # ← RIGHT COLUMN (main chat area)
+           gr.ChatInterface(
+                fn=respond,
+                type="messages"
+            )
+    with gr.Row():
+        gr.Markdown(disclaimer)    # Footer disclaimer text
+
+chatbot.launch()