Update app.py

app.py

@@ -1,60 +1,46 @@
 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
-"""
+# Initialize Hugging Face client with your model
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 
 def respond(
     message,
-    history: [],
+    history,
     system_message,
     max_tokens,
     temperature,
     top_p,
 ):
+    # Prepare messages for the API call
     messages = [{"role": "system", "content": system_message}]
-
-
     messages.append({"role": "user", "content": message})
 
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
+    # Make API call without streaming
+    response = client.chat_completion(
+        messages=messages,
         max_tokens=max_tokens,
-        stream=False,
         temperature=temperature,
         top_p=top_p,
-    ):
-        print(message.choices)
-        # token = message.choices[0].delta.content
+        stream=False,  # Streaming disabled
+    )
 
-        response = "helo" # += token
-        yield response
+    # Extract the response content
+    response_text = response.choices[0].message['content']
+    return response_text  # Directly return the response text
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Gradio interface setup
 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)",
-        ),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
     ],
 )
 
-
 if __name__ == "__main__":
     demo.launch()