Delete appy.py

appy.py

@@ -1,44 +0,0 @@
-from azure.ai.textanalytics import TextAnalyticsClient
-from azure.core.credentials import AzureKeyCredential
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-
-# Azure Text Analytics setup
-azure_endpoint = "https://t6langservice.cognitiveservices.azure.com/"
-azure_api_key = "3CU1gpUszvl7pLb90Ivdp1Kd5WZc56savzdXOK5GV40JHebnxnxoJQQJ99BAACYeBjFXJ3w3AAAaACOGkRT5"
-
-# Authenticate client
-text_analytics_client = TextAnalyticsClient(endpoint=azure_endpoint, credential=AzureKeyCredential(azure_api_key))
-
-
-# Load Hugging Face chatbot model
-model_name = "microsoft/DialoGPT-medium"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name)
-
-# Chatbot logic
-def chatbot_response(input_text):
-    # Hugging Face response
-    input_ids = tokenizer.encode(input_text + tokenizer.eos_token, return_tensors="pt")
-    chat_output = model.generate(input_ids, max_length=50, pad_token_id=tokenizer.eos_token_id)
-    hf_response = tokenizer.decode(chat_output[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
-
-    # Azure Text Analytics: Analyze sentiment of user input
-    try:
-        response = text_analytics_client.analyze_sentiment([input_text])[0]
-        sentiment = response.sentiment
-        azure_analysis = f"The sentiment of your input is: {sentiment}."
-    except Exception as e:
-        azure_analysis = f"Error analyzing sentiment: {str(e)}"
-
-    # Combine responses
-    return f"Hugging Face response: {hf_response}\nAzure analysis: {azure_analysis}"
-
-# Chat loop
-while True:
-    user_input = input("You: ")
-    if user_input.lower() in ["exit", "quit"]:
-        print("Exiting chatbot. Goodbye!")
-        break
-    print(chatbot_response(user_input))
-