Removed unnecessary inputs.

app.py

@@ -7,21 +7,22 @@ from numpy import int64
 from pandarallel import pandarallel
 from sklearn.preprocessing import RobustScaler
 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(
     message,
-    history: list[tuple[str, str]],
-        threshold
+    threshold
 ):
-    for val in history:
-        if val[0].lower().strip() == message.lower().strip():
-            yield val[1]
 
     for message in is_malicious_sql(message, threshold
     ):
         response = message
-        history.append((message.lower().strip(), response))
         yield response
 
 """
@@ -30,7 +31,6 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="Check whether a SQL is malicious or not.", label="System message"),
         gr.Slider(minimum=0.01, maximum=0.99, value=0.75, step=0.01, label="Detection Probability Threshold "),
     ],
 )