Create app.py

app.py

@@ -0,0 +1,45 @@
+import gradio as gr
+from transformers import pipeline, set_seed
+
+# Initialize the chat model pipeline
+chat = pipeline('text-generation', model='gpt-3.5-turbo', use_auth_token='Your_Hugging_Face_API_Token_Here')
+
+def chat_with_chatgpt(user_message, system_message, chat_history):
+    set_seed(42)  # Optional: for consistent results
+    
+    # Combine system message, chat history, and current user message for context
+    if system_message not in chat_history:  # Include system message only at the beginning
+        input_text = f"{system_message}\n{chat_history} You: {user_message}"
+    else:
+        input_text = f"{chat_history} You: {user_message}"
+    
+    # Generate response from ChatGPT
+    response = chat(input_text, max_length=1000)
+    generated_text = response[0]['generated_text']
+    
+    # Extract only ChatGPT's latest response
+    new_response = generated_text[len(input_text):].strip()
+    
+    # Update chat history
+    new_chat_history = f"{chat_history} You: {user_message}\nChatGPT: {new_response}\n"
+    
+    return new_chat_history, new_chat_history  # Return updated chat history for both display and state
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=chat_with_chatgpt,
+    inputs=[
+        gr.inputs.Textbox(label="Your Message"),
+        gr.inputs.Textbox(label="System Message (Enter only before starting the chat)", lines=2),
+        gr.State(label="Chat History")
+    ],
+    outputs=[
+        gr.outputs.Textbox(label="Chat History"),
+        gr.outputs.Textbox(label="New Chat History", visible=False)
+    ],
+    title="Chat with ChatGPT 3.5",
+    description="Start with a system message and then continue chatting like in ChatGPT.",
+)
+
+if __name__ == "__main__":
+    iface.launch()