Update app.py

app.py

@@ -1,78 +1,5 @@
-import streamlit as st
-import requests
-import json
-
-HF_TOKEN = "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"  # Replace with your actual Hugging Face token
-HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"}
-
-zephyr_7b_beta = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta/"
-
-welcome_message = """
-Hi! I'll help you **build a GPT.** You can say something like, "make a bot that gives advice on how to grow your startup." What would you like to make?
-"""
-
-zephyr_system_prompt = """
-You are an AI whose job it is to help users create their own chatbots. In particular, you need to respond succinctly in a friendly tone, write a system prompt for an LLM, a catchy title for the chatbot, and a very short example user input. Make sure each part is included.
-
-For example, if a user says, "make a bot that gives advice on how to grow your startup", first do a friendly response, then add the title, system prompt, and example user input. Immediately STOP after the example input. It should be EXACTLY in this format:
-
-Sure, I'd be happy to help you build a bot! I'm generating a title, system prompt, and an example input. How do they sound? Feel free to give me feedback!
-Title: Startup Coach
-System prompt: Your job as an LLM is to provide good startup advice. Do not provide extraneous comments on other topics. Be succinct but useful. 
-Example input: Risks of setting up a non-profit board
-
-Here's another example. If a user types, "Make a chatbot that roasts tech CEOs", respond: 
-Sure, I'd be happy to help you build a bot! I'm generating a title, system prompt, and an example input. How do they sound? Feel free to give me feedback!
-Title: Tech Roaster
-System prompt: As an LLM, your primary function is to deliver hilarious and biting critiques of technology CEOs. Keep it witty and entertaining, but also make sure your jokes aren't too mean-spirited or factually incorrect. 
-Example input: Elon Musk
-"""
-
-def build_input_prompt(message, chatbot, system_prompt):
-    input_prompt = "\n" + system_prompt + "</s>\n\n"
-    for interaction in chatbot:
-        input_prompt = input_prompt + str(interaction[0]) + "</s>\n\n" + str(interaction[1]) + "\n</s>\n\n"
-
-    input_prompt = input_prompt + str(message) + "</s>\n"
-    return input_prompt
-
-def post_request_beta(payload):
-    response = requests.post(zephyr_7b_beta, headers=HEADERS, json=payload)
-    response.raise_for_status()
-    return response.json()
-
-def predict_beta(message, chatbot=[], system_prompt=zephyr_system_prompt):
-    input_prompt = build_input_prompt(message, chatbot, system_prompt)
-    data = {
-        "inputs": input_prompt
-    }
-
-    try:
-        response_data = post_request_beta(data)
-        json_obj = response_data[0]
-
-        if 'generated_text' in json_obj and len(json_obj['generated_text']) > 0:
-            bot_message = json_obj['generated_text']
-            return bot_message
-        elif 'error' in json_obj:
-            st.exception(Exception(json_obj['error'] + ' Please refresh and try again with a smaller input prompt'))
-        else:
-            warning_msg = f"Unexpected response: {json_obj}"
-            st.exception(Exception(warning_msg))
-    except requests.HTTPError as e:
-        error_msg = f"Request failed with status code {e.response.status_code}"
-        st.exception(Exception(error_msg))
-    except json.JSONDecodeError as e:
-        error_msg = f"Failed to decode response as JSON: {str(e)}"
-        st.exception(Exception(error_msg))
-
-# Streamlit app
-st.markdown("🥧 **GPT Baker** lets you create your own **open-source GPTs.**")
-user_input = st.text_input("Say something like", "make a bot that gives advice on how to grow your startup.")
-st.markdown(welcome_message)
-st.markdown("You can build and test them for free,")
-
-# Predict and display the response
-model_response = predict_beta(user_input)
-st.markdown(f"**Model Response:** {model_response}")
+from openai import OpenAI
+client = OpenAI()
 
+my_assistant = client.beta.assistants.retrieve("asst_abc123")
+print(my_assistant)