Update app.py

app.py

@@ -1,10 +1,4 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-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")
 
 
 def respond(
@@ -42,22 +36,38 @@ def respond(
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
+TITLE = "FUT FUT Chatbot"
+
+DESCRIPTION = """
+'해요'체를 사용하며 친절하게 답하는 풋풋이 챗봇.
+A rag pipeline with a chatbot feature
+Resources used to build this project :
+* embedding model : https://huggingface.co/BM-K/KoSimCSE-roberta-multitask
+* dataset : https://huggingface.co/datasets/Dongwookss/q_a_korean_futsal
+* vector DB : PINECONE
+* chatbot : https://huggingface.co/Dongwookss/small_fut_final
+"""
+
+Examples = [['시흥 풋살 구장 추천해줘'],['풋살 경기 규칙 설명해줘'], ['풋살 경기 시간 알려줘']]
+
 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)",
-        ),
-    ],
+    fn=talk,
+    chatbot=gr.Chatbot(
+        show_label=True,
+        show_share_button=True,
+        show_copy_button=True,
+        likeable=True,
+        layout="bubble",
+        bubble_full_width=False,
+    ),
+    theme="Soft",
+    examples=[["what's anarchy ? "]],
+    title=TITLE,
+    description=DESCRIPTION,
+    examples=Examples
+    
 )
+demo.launch(debug=True)
 
-
-if __name__ == "__main__":
-    demo.launch()
+# if __name__ == "__main__":
+#     demo.launch()