Update app.py

app.py

@@ -25,15 +25,15 @@ now = datetime.now()
 date_time_str = now.strftime("%Y-%m-%d %H:%M:%S")
 
 client = InferenceClient(
-    "mistralai/Mixtral-8x7B-Instruct-v0.1"
+    "mistralai/Mixtral-8x7B-Instruct-v0.1",
 )
 
+
 ############################################
 
 
 VERBOSE = True
-MAX_HISTORY = 100
-#MODEL = "gpt-3.5-turbo"  # "gpt-4"
+MAX_HISTORY = 125
 
 
 def format_prompt(message, history):
@@ -59,7 +59,7 @@ def run_gpt(
         temperature=1.0,
         max_new_tokens=2096,
         top_p=0.99,
-        repetition_penalty=1.0,
+        repetition_penalty=1.7,
         do_sample=True,
         seed=seed,
     )
@@ -91,7 +91,7 @@ def compress_history(purpose, task, history, directory):
     resp = run_gpt(
         COMPRESS_HISTORY_PROMPT,
         stop_tokens=["observation:", "task:", "action:", "thought:"],
-        max_tokens=512,
+        max_tokens=5096,
         purpose=purpose,
         task=task,
         history=history,
@@ -122,8 +122,8 @@ def call_search(purpose, task, history, directory, action_input):
 def call_main(purpose, task, history, directory, action_input):
     resp = run_gpt(
         ACTION_PROMPT,
-        stop_tokens=["observation:", "task:", "action:","thought:"],
-        max_tokens=2096,
+        stop_tokens=["observation:", "task:", "action:","though:"],
+        max_tokens=5096,
         purpose=purpose,
         task=task,
         history=history,
@@ -159,7 +159,7 @@ def call_set_task(purpose, task, history, directory, action_input):
     task = run_gpt(
         TASK_PROMPT,
         stop_tokens=[],
-        max_tokens=64,
+        max_tokens=2048,
         purpose=purpose,
         task=task,
         history=history,
@@ -259,7 +259,7 @@ agents =[
     "PYTHON_CODE_DEV"
 ]
 def generate(
-        prompt, history, agent_name=agents[0], sys_prompt="", temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
+        prompt, history, agent_name=agents[0], sys_prompt="", temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.7,
 ):
     seed = random.randint(1,1111111111111111)
 
@@ -348,42 +348,22 @@ additional_inputs=[
 
 ]
 
-examples=[["What are the biggest news stories today?", None, None, None, None, None, ],
-          ["When is the next full moon?", None, None, None, None, None, ],
-          ["I'm planning a vacation to Japan. Can you suggest a one-week itinerary including must-visit places and local cuisines to try?", None, None, None, None, None, ],
-          ["Can you write a short story about a time-traveling detective who solves historical mysteries?", None, None, None, None, None,],
-          ["I'm trying to learn French. Can you provide some common phrases that would be useful for a beginner, along with their pronunciations?", None, None, None, None, None,],
-          ["I have chicken, rice, and bell peppers in my kitchen. Can you suggest an easy recipe I can make with these ingredients?", None, None, None, None, None,],
-          ["Can you explain how the QuickSort algorithm works and provide a Python implementation?", None, None, None, None, None,],
-          ["What are some unique features of Rust that make it stand out compared to other systems programming languages like C++?", None, None, None, None, None,],
+
+examples=[["Based on previous interactions, generate an interactive preview of the user's requested application.", None, None, None, None, None, ],
+          ["Utilize the relevant code snippets and components from previous interactions.", None, None, None, None, None, ],
+          ["Assemble a working demo that showcases the core functionality of the application.", None, None, None, None, None, ],
+          ["Present the demo in an interactive environment within the Gradio interface.", None, None, None, None, None,],
+          ["Allow the user to explore and interact with the demo to test its features.", None, None, None, None, None,],
+          ["Gather feedback from the user about the demo and potential improvements.", None, None, None, None, None,],
+          ["If the user approves of the app's running state you should provide a bash script that will automate all aspects of a local run and also a docker image for ease-of-launch in addition to the huggingface-ready app.py with all functions and gui and the requirements.txt file comprised of all required libraries and packages the application is dependent on, avoiding openai api at all points as we only use huggingface transformers, models, agents, libraries, api.", None, None, None, None, None,],
          ]
 
-'''
+
 gr.ChatInterface(
 fn=run,
-chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
-title="Mixtral 46.7B\nMicro-Agent\nInternet Search <br> development test",
+title="""Fragmixt\nAgents With Agents,\nSurf With a Purpose""",
 examples=examples,
 concurrency_limit=20,
-with gr.Blocks() as ifacea:
-    gr.HTML("""TEST""")
-ifacea.launch()
-).launch()
 with gr.Blocks() as iface:
-    #chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
-    chatbot=gr.Chatbot()
-    msg = gr.Textbox()
-    with gr.Row():
-        submit_b = gr.Button()
-        clear = gr.ClearButton([msg, chatbot])
-    submit_b.click(run, [msg,chatbot],[msg,chatbot])
-    msg.submit(run, [msg, chatbot], [msg, chatbot])
 iface.launch()
-'''
-gr.ChatInterface(
-    fn=run,
-    chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, super-intelligence=True, layout="panel"),
-    title="Mixtral 46.7B\nMicro-Agent\nInternet Search <br> development test",
-    examples=examples,
-    concurrency_limit=50,
-).launch(show_api=True)
+)