Update app.py

app.py

@@ -13,19 +13,18 @@ print("OpenAI client initialized.")
 
 def respond(
     message,
-    history: list[tuple[str, str]],
-    system_message="You are a helpful assistant.",
-    max_tokens=512,
-    temperature=0.7,
-    top_p=0.95,
-    frequency_penalty=0.0,
-    seed=-1
+    history: list[tuple[str, str]]
 ):
     print(f"Received message: {message}")
     print(f"History: {history}")
-    print(f"System message: {system_message}")
-    print(f"Max tokens: {max_tokens}, Temperature: {temperature}, Top-P: {top_p}")
-    print(f"Frequency Penalty: {frequency_penalty}, Seed: {seed}")
+
+    # Hardcoded system message and other parameters
+    system_message = "You are a cryptocurrency trading assistant and market analyst. Your role is to provide users with data-driven insights, technical analysis (RSI, MACD, Bollinger Bands, Moving Averages, Fibonacci retracements, volume analysis, and price action), and investment advice tailored to their risk tolerance. Focus on actionable information, such as market conditions, key indicators, and investment strategies. Avoid speculation and provide clear, concise, and unbiased recommendations based on current data."
+    max_tokens = 512
+    temperature = 0.7
+    top_p = 0.95
+    frequency_penalty = 0.0
+    seed = -1  # Random seed
 
     # Convert seed to None if -1 (meaning random)
     if seed == -1:
@@ -79,56 +78,9 @@ def respond(
 chatbot = gr.Chatbot(height=600, show_copy_button=True, placeholder="Start chatting!", likeable=True, layout="panel")
 print("Chatbot interface created.")
 
-system_message_box = gr.Textbox(value="You are a helpful assistant.", label="System Prompt", visible=False)
-
-max_tokens_slider = gr.Slider(
-    minimum=1,
-    maximum=4096,
-    value=512,
-    step=1,
-    label="Max new tokens"
-)
-temperature_slider = gr.Slider(
-    minimum=0.1,
-    maximum=4.0,
-    value=0.7,
-    step=0.1,
-    label="Temperature"
-)
-top_p_slider = gr.Slider(
-    minimum=0.1,
-    maximum=1.0,
-    value=0.95,
-    step=0.05,
-    label="Top-P"
-)
-frequency_penalty_slider = gr.Slider(
-    minimum=-2.0,
-    maximum=2.0,
-    value=0.0,
-    step=0.1,
-    label="Frequency Penalty"
-)
-seed_slider = gr.Slider(
-    minimum=-1,
-    maximum=65535,
-    value=-1,
-    step=1,
-    label="Seed (-1 for random)"
-)
-
-# Removed the custom_model_box as the model is pre-set
-
 demo = gr.ChatInterface(
     fn=respond,
-    additional_inputs=[
-        system_message_box,
-        max_tokens_slider,
-        temperature_slider,
-        top_p_slider,
-        frequency_penalty_slider,
-        seed_slider,
-    ],
+    additional_inputs=[],  # No additional inputs needed since everything is embedded
     fill_height=True,
     chatbot=chatbot,
     theme="Nymbo/Nymbo_Theme",
@@ -136,7 +88,7 @@ demo = gr.ChatInterface(
 print("ChatInterface object created.")
 
 with demo:
-    # No need for a model selection accordion since the model is fixed to "meta-llama"
+    # No need for system message input, model selection, or sliders
     pass
 
 print("Gradio interface initialized.")