Update app.py

app.py

@@ -1,6 +1,8 @@
 import os
 import gradio as gr
+
 from openai import OpenAI
+
 from optillm.cot_reflection import cot_reflection
 from optillm.rto import round_trip_optimization
 from optillm.z3_solver import Z3SymPySolverSystem
@@ -9,6 +11,7 @@ from optillm.plansearch import plansearch
 from optillm.leap import leap
 from optillm.reread import re2_approach
 
+
 API_KEY = os.environ.get("OPENROUTER_API_KEY")
 
 def compare_responses(message, model1, approach1, model2, approach2, system_message, max_tokens, temperature, top_p):
@@ -32,12 +35,11 @@ def parse_conversation(messages):
     initial_query = "\n".join(conversation)
     return system_prompt, initial_query
 
-def respond(message, history, model, approach, system_message, max_tokens, temperature, top_p, image=None):
+def respond(message, history, model, approach, system_message, max_tokens, temperature, top_p):
     try:
         client = OpenAI(api_key=API_KEY, base_url="https://openrouter.ai/api/v1")
         messages = [{"role": "system", "content": system_message}]
         
-        # Add history if available
         for val in history:
             if val[0]:
                 messages.append({"role": "user", "content": val[0]})
@@ -47,29 +49,21 @@ def respond(message, history, model, approach, system_message, max_tokens, tempe
         messages.append({"role": "user", "content": message})
         
         if approach == "none":
-            # Prepare the API request data
-            data = {
-                "model": model,
-                "messages": messages,
-                "max_tokens": max_tokens,
-                "temperature": temperature,
-                "top_p": top_p,
-            }
-            if image:
-                data["image"] = image  # Add image if provided
-
             response = client.chat.completions.create(
                 extra_headers={
                     "HTTP-Referer": "https://github.com/codelion/optillm",
                     "X-Title": "optillm"
                 },
-                **data
+                model=model,
+                messages=messages,
+                max_tokens=max_tokens,
+                temperature=temperature,
+                top_p=top_p,
             )
             return response.choices[0].message.content
         else:
             system_prompt, initial_query = parse_conversation(messages)
             
-            # Handle different approaches
             if approach == 'rto':
                 final_response, _ = round_trip_optimization(system_prompt, initial_query, client, model)
             elif approach == 'z3':
@@ -95,13 +89,13 @@ def respond(message, history, model, approach, system_message, max_tokens, tempe
 
 def create_model_dropdown():
     return gr.Dropdown(
-        [ "meta-llama/llama-3.1-8b-instruct:free", "nousresearch/hermes-3-llama-3.1-405b:free", "meta-llama/llama-3.2-1b-instruct:free",
-         "mistralai/mistral-7b-instruct:free", "mistralai/pixtral-12b:free", "meta-llama/llama-3.1-70b-instruct:free",
+        [ "meta-llama/llama-3.1-8b-instruct:free", "nousresearch/hermes-3-llama-3.1-405b:free","meta-llama/llama-3.2-1b-instruct:free",
+         "mistralai/mistral-7b-instruct:free","mistralai/pixtral-12b:free","meta-llama/llama-3.1-70b-instruct:free",
          "qwen/qwen-2-7b-instruct:free", "qwen/qwen-2-vl-7b-instruct:free", "google/gemma-2-9b-it:free", "liquid/lfm-40b:free", "meta-llama/llama-3.1-405b-instruct:free",
          "openchat/openchat-7b:free", "meta-llama/llama-3.2-90b-vision-instruct:free", "meta-llama/llama-3.2-11b-vision-instruct:free",
          "meta-llama/llama-3-8b-instruct:free", "meta-llama/llama-3.2-3b-instruct:free", "microsoft/phi-3-medium-128k-instruct:free",
          "microsoft/phi-3-mini-128k-instruct:free", "huggingfaceh4/zephyr-7b-beta:free"],
-        value="meta-llama/llama-3.1-8b-instruct:free", label="Model"
+        value="nousresearch/hermes-3-llama-3.1-405b:free", label="Model"
     )
 
 def create_approach_dropdown():
@@ -129,25 +123,24 @@ with gr.Blocks() as demo:
             approach = create_approach_dropdown()
             chatbot = gr.Chatbot()
             msg = gr.Textbox()
-            image = gr.Image(type="pil", label="Upload Image (optional)")
             with gr.Row():
                 submit = gr.Button("Submit")
                 clear = gr.Button("Clear")
 
-            def user(user_message, history, uploaded_image):
-                return "", history + [[user_message, None]], uploaded_image
+            def user(user_message, history):
+                return "", history + [[user_message, None]]
 
-            def bot(history, model, approach, system_message, max_tokens, temperature, top_p, uploaded_image):
+            def bot(history, model, approach, system_message, max_tokens, temperature, top_p):
                 user_message = history[-1][0]
-                bot_message = respond(user_message, history[:-1], model, approach, system_message, max_tokens, temperature, top_p, image=uploaded_image)
+                bot_message = respond(user_message, history[:-1], model, approach, system_message, max_tokens, temperature, top_p)
                 history[-1][1] = bot_message
                 return history
 
-            msg.submit(user, [msg, chatbot, image], [msg, chatbot, image]).then(
-                bot, [chatbot, model, approach, system_message, max_tokens, temperature, top_p, image], chatbot
+            msg.submit(user, [msg, chatbot], [msg, chatbot]).then(
+                bot, [chatbot, model, approach, system_message, max_tokens, temperature, top_p], chatbot
             )
-            submit.click(user, [msg, chatbot, image], [msg, chatbot, image]).then(
-                bot, [chatbot, model, approach, system_message, max_tokens, temperature, top_p, image], chatbot
+            submit.click(user, [msg, chatbot], [msg, chatbot]).then(
+                bot, [chatbot, model, approach, system_message, max_tokens, temperature, top_p], chatbot
             )
             clear.click(lambda: None, None, chatbot, queue=False)
 
@@ -160,7 +153,6 @@ with gr.Blocks() as demo:
             
             compare_input = gr.Textbox(label="Enter your message for comparison")
             compare_button = gr.Button("Compare")
-            compare_image = gr.Image(type="pil", label="Upload Image for Comparison")
             
             with gr.Row():
                 output1 = gr.Textbox(label="Response 1")
@@ -173,4 +165,4 @@ with gr.Blocks() as demo:
             )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()