fix 12

app.py

@@ -11,20 +11,6 @@ huggingface_token = os.getenv("SECRET_ENV_VARIABLE")
 #client = InferenceClient(api_key=huggingface_token)
 client = InferenceClient(model=model_name, token=huggingface_token)
 
-'''
-import requests
-
-API_URL = "https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-1B"
-headers = {"Authorization": "Bearer "}
-
-def query(payload):
-	response = requests.post(API_URL, headers=headers, json=payload)
-	return response.json()
-	
-output = query({
-	"inputs": "Can you please let us know more details about your ",
-})
-'''
 
 def generate_text(
     prompt,
@@ -53,60 +39,6 @@ def generate_text(
 
 
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    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 = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-
-demo = gr.ChatInterface(
-    #respond,
-    generate_text,
-    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)",
-        ),
-    ],
-)
-"""
-
 with gr.Blocks() as demo:
     gr.Markdown("Q&A App")