Update app.py

app.py

@@ -1,21 +1,26 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+from huggingfacehub import InferenceClient
+import pandas as pd
 
 """
-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
+or more information on `huggingfacehub` Inference API support, please check the docs: https://huggingface.co/docs/huggingfacehub/v0.22.2/en/guides/inference
 """
 client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 
+def loadprompts():
+    prompts = pd.readcsv("prompts.csv")
+    return prompts
 
 def respond(
     message,
     history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
+    prompts: pd.atarame,
+    systemmessage,
+    maxtokens,
     temperature,
-    top_p,
+    topp,
 ):
-    messages = [{"role": "system", "content": system_message}]
+    messages = [{"role": "system", "content": systemmessage}]
 
     for val in history:
         if val[0]:
@@ -27,12 +32,12 @@ def respond(
 
     response = ""
 
-    for message in client.chat_completion(
+    for message in client.chatcompletion(
         messages,
-        max_tokens=max_tokens,
-        stream=True,
+        maxtokens=maxtokens,
+        stream=rue,
         temperature=temperature,
-        top_p=top_p,
+        topp=topp,
     ):
         token = message.choices[0].delta.content
 
@@ -40,24 +45,27 @@ def respond(
         yield response
 
 """
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+or information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
+prompts = loadprompts()
+
 demo = gr.ChatInterface(
     respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+    additionalinputs=[
+        gr.extbox(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=4.0, value=0.7, step=0.1, label="emperature"),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,
             value=0.95,
             step=0.05,
-            label="Top-p (nucleus sampling)",
+            label="op-p (nucleus sampling)",
         ),
+        gr.atarame(value=prompts, label="Prompts"),
     ],
 )
 
 
-if __name__ == "__main__":
+if name == "main":
     demo.launch()