Update app.py

app.py

@@ -54,14 +54,14 @@ class CitingSources(BaseModel):
         description="List of sources to cite. Should be an URL of the source."
     )
 
-def chatbot_interface(message, history, model, temperature, num_calls, use_embeddings, system_prompt):
+def chatbot_interface(message, system_prompt, history, model, temperature, num_calls, use_embeddings):
     if not message.strip():
         return "", history
 
     history = history + [(message, "")]
 
     try:
-        for response in respond(message, history, model, temperature, num_calls, use_embeddings, system_prompt):
+        for response in respond(message, system_prompt, history, model, temperature, num_calls, use_embeddings):
             history[-1] = (message, response)
             yield history
     except gr.CancelledError:
@@ -71,16 +71,16 @@ def chatbot_interface(message, history, model, temperature, num_calls, use_embed
         history[-1] = (message, f"An unexpected error occurred: {str(e)}")
         yield history
 
-def retry_last_response(history, model, temperature, num_calls, use_embeddings, system_prompt):
+def retry_last_response(system_prompt, history, model, temperature, num_calls, use_embeddings):
     if not history:
         return history
     
     last_user_msg = history[-1][0]
     history = history[:-1]  # Remove the last response
     
-    return chatbot_interface(last_user_msg, history, model, temperature, num_calls, use_embeddings, system_prompt)
+    return chatbot_interface(last_user_msg, , system_prompt, history, model, temperature, num_calls, use_embeddings)
 
-def respond(message, history, model, temperature, num_calls, use_embeddings, system_prompt):
+def respond(message, system_prompt, history, model, temperature, num_calls, use_embeddings):
     logging.info(f"User Query: {message}")
     logging.info(f"Model Used: {model}")
     logging.info(f"Use Embeddings: {use_embeddings}")
@@ -106,7 +106,7 @@ def create_web_search_vectors(search_results):
     
     return FAISS.from_documents(documents, embed)
 
-def get_response_with_search(query, model, num_calls=3, temperature=0.2, use_embeddings=True, system_prompt=DEFAULT_SYSTEM_PROMPT):
+def get_response_with_search(query, system_prompt=DEFAULT_SYSTEM_PROMPT, model, num_calls=3, temperature=0.2, use_embeddings=True):
     search_results = duckduckgo_search(query)
     
     if use_embeddings:
@@ -202,11 +202,11 @@ demo = gr.ChatInterface(
     respond,
     additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=True, render=False),
     additional_inputs=[
+        gr.Textbox(label="System Prompt", lines=5, value=DEFAULT_SYSTEM_PROMPT),
         gr.Dropdown(choices=MODELS, label="Select Model", value=MODELS[3]),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.2, step=0.1, label="Temperature"),
         gr.Slider(minimum=1, maximum=5, value=1, step=1, label="Number of API Calls"),
         gr.Checkbox(label="Use Embeddings", value=False),
-        gr.Textbox(label="System Prompt", lines=5, value=DEFAULT_SYSTEM_PROMPT),
     ],
     title="AI-powered Web Search Assistant",
     description="Ask questions and get answers from web search results.",