Update app.py

app.py

@@ -3,7 +3,6 @@ import json
 import gradio as gr
 from openai import OpenAI
 import requests
-from huggingface_hub import hf_hub_download
 import time
 import google.generativeai as genai
 from groq import Groq
@@ -108,48 +107,13 @@ def query_gemini(prompt, chatbot_state):
         response_times["Gemini Flash 2.0"].append(time.time() - start_time)
 
 
-def query_groq_Llama3_3(prompt, chatbot_state):
-    """Queries Groq's model via Groq API."""
-    start_time = time.time()
-    try:
-        # Format conversation history
-        messages = [{"role": entry["role"], "content": entry["content"]} for entry in chatbot_state]
-        messages.append({"role": "user", "content": prompt})
-
-        # Make the API call to Groq
-        response = groq_client.chat.completions.create(
-            model="llama-3.3-70b-versatile",
-            messages=messages
-        )
-
-        # Extract the content correctly
-        reply = response.choices[0].message.content
-        return reply
-
-    except AttributeError as e:
-        # Handle specific error related to object structure
-        return f"Groq Attribute Error: {str(e)}"
-    except Exception as e:
-        # Handle general errors
-        return f"Groq Error: {str(e)}"
-    finally:
-        response_times["Groq - llama-3.3-70b"].append(time.time() - start_time)
-
 def chatbot_response(prompt, model_choice, chatbot_state):
     """Handles the conversation flow and updates the chatbot state."""
     # Add user message to the conversation history
     chatbot_state.append({"role": "user", "content": prompt})
 
     # Generate a response based on the selected model
-    if model_choice == "Mistral-7B-Instruct":
-        response = query_mistral(prompt, chatbot_state)
-    elif model_choice == "Groq - llama-3.1-8b":
-        response = query_groq(prompt, chatbot_state)
-    elif model_choice == "Groq - Llama 3.3":
-        response = query_groq_Llama3_3(prompt, chatbot_state)
-    elif model_choice == "Grok 2":
-        response = query_grok(prompt, chatbot_state)
-    elif model_choice == "Gemini Flash 2.0":
+    if model_choice == "Gemini Flash 2.0":
         response = query_gemini(prompt, chatbot_state)
     elif model_choice == "Deepseek":
         response = query_deepseek(prompt, chatbot_state)
@@ -213,4 +177,5 @@ with gr.Blocks() as demo:
     outputs=[chatbot, chatbot_input, chatbot_state]  # Clear the chatbot UI and the state
 )
 
-demo.launch(auth=("latham", "1956"),share=False)
+demo.launch(auth=("latham", "1956"))
+