Update app.py

app.py

@@ -1,40 +1,34 @@
 import os
 import gradio as gr
-from transformers import GPT2LMHeadModel, GPT2Tokenizer
-import torch
+import openai
 
-# Clone the Gradio repository
-os.system("git clone https://github.com/gradio-app/gradio.git")
+# Install required libraries
+os.system("pip install gradio")
+os.system("pip install openai")
 
-# Install Gradio
-os.system("cd gradio && pip install .")
-
-# Install transformers
-os.system("pip install transformers")
-
-# Install PyTorch
-os.system("pip install torch==1.10.0+cpu torchvision==0.11.1+cpu torchaudio==0.10.0+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html")
+# Set your OpenAI API key
+openai.api_key = "your_api_key_here"  # Replace with your actual API key
 
 class ArabicAssistant:
-    def __init__(self):
-        self.model_name = "EleutherAI/gpt-neo-2.7B"
-        self.tokenizer = GPT2Tokenizer.from_pretrained(self.model_name)
-        self.model = GPT2LMHeadModel.from_pretrained(self.model_name)
-
-    def generate_response(self, input_text):
-        input_ids = self.tokenizer.encode(input_text, return_tensors="pt")
-        output = self.model.generate(input_ids, max_length=100, num_beams=5, no_repeat_ngram_size=2, top_k=50, top_p=0.95, temperature=0.7)
-        response = self.tokenizer.decode(output[0], skip_special_tokens=True)
+    def generate_response(self, user_input):
+        # Check if the user input is in Arabic-Egyptian dialect
+        if not any(char in "اأإآبتثجحخدذرزسشصضطظعغفقكلمنهوي" for char in user_input):
+            return "عذرًا، أنا أتحدث فقط باللهجة المصرية. يرجى استخدام اللهجة المصرية في التفاعل معي."
+
+        # Generate response using the ChatGPT 3.5 model
+        response = openai.Completion.create(
+            model="text-davinci-003",
+            prompt=user_input,
+            temperature=0.7,
+            max_tokens=100
+        )["choices"][0]["text"].strip()
+
         return response
 
 assistant = ArabicAssistant()
 
 def chatbot_interaction(user_input):
     user_input = user_input.strip()
-    
-    # Check if the user input is in Arabic-Egyptian dialect
-    if not any(char in "اأإآبتثجحخدذرزسشصضطظعغفقكلمنهوي" for char in user_input):
-        return "عذرًا، أنا أتحدث فقط باللهجة المصرية. يرجى استخدام اللهجة المصرية في التفاعل معي."
 
     # Generate response using the chatbot model
     response = assistant.generate_response(user_input)