Update app.py

app.py

@@ -1,34 +1,41 @@
-import gradio as gr
-from transformers import AutoModelForCausalLM, AutoTokenizer
+import os
+import sys
 
-# Load the model and tokenizer
-model_name = "CatGPT" # Replace with the exact model name if necessary
-model = AutoModelForCausalLM.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
+# Check for required modules
+required_modules = ['transformers', 'torch', 'numpy']
 
-# Define the chat function
-def chat(input_text):
+for module in required_modules:
  try:
- # Tokenize the input
- inputs = tokenizer(input_text, return_tensors="pt")
- 
- # Generate a response from the model
- outputs = model.generate(**inputs, max_length=150)
- 
- # Decode and return the response
- response = tokenizer.decode(outputs[0], skip_special_tokens=True)
- return response
+ __import__(module)
+ except ImportError:
+ print(f"Module '{module}' not found. Installing...")
+ os.system(f"{sys.executable} -m pip install {module}")
+
+# Import necessary libraries
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+import numpy as np
+
+# Setup model and tokenizer
+model_name = "gpt-3.5-turbo" # You might want to replace this with your specific model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
 
- except Exception as e:
- return f"An error occurred: {str(e)}"
+# Function to generate text
+def generate_text(prompt, max_length=100):
+ inputs = tokenizer(prompt, return_tensors="pt")
+ outputs = model.generate(inputs.input_ids, max_length=max_length, do_sample=True, top_k=50, top_p=0.95)
+ return tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-# Create the Gradio interface
-iface = gr.Interface(fn=chat, 
- inputs=gr.inputs.Textbox(lines=7, label="Enter your message"),
- outputs=gr.outputs.Textbox(label="Response"),
- title="CatGPT - Chatbot",
- description="Chat with CatGPT, a fun and intelligent chatbot!")
+# Main function
+def main():
+ print("Welcome to CATGPT! Type 'exit' to quit.")
+ while True:
+ prompt = input("\nEnter your prompt: ")
+ if prompt.lower() == 'exit':
+ break
+ response = generate_text(prompt)
+ print(f"\nCATGPT: {response}")
 
-# Launch the interface
 if __name__ == "__main__":
- iface.launch()
+ main()