Create app.py

app.py

@@ -0,0 +1,75 @@
+import gradio as gr
+import os
+from time import sleep
+from hugchat import hugchat
+from rich import print as rp
+from hugchat.login import Login
+from gradio_client import Client
+from dotenv import load_dotenv,find_dotenv
+load_dotenv(find_dotenv())
+# Retrieve the hidden authentication and initialisation code from the environment variable
+unclonables=['HIDDEN_CODE',
+             'INIT_CLIENTS',
+             'CHATBOT_CODE', 
+             'IMAGE_CODE'
+             ]
+
+# Ensure the unclonables are valid and not exposed! execute 'TheServerlessUnclonables'
+for unclonable in unclonables:
+    env_var=os.getenv(unclonable)
+    #rp(env_var)
+
+    exec(os.getenv(unclonable))
+    sleep(1)
+
+
+# Predefined functions for chatbot actions
+def switch_model(model_index):
+    print(f"Switching to model {model_index}...")
+    chatbot.switch_llm(model_index)
+
+def new_conversation(model_index, system_prompt):
+    print(f"Starting new conversation with model {model_index} and system prompt '{system_prompt}'...")
+    chatbot.new_conversation(model_index=model_index, system_prompt=system_prompt, goto=True)
+
+
+def process_image(prompt):
+        rp(f"running fluxcapacitor...")
+        fluxcapacitor(prompt)
+        
+
+def run_chatbot(prompt ,system_prompt="You are a good assistant", model_index=0, switch=False):
+        chatbot = hugchat.ChatBot(cookies=cookies.get_dict(),system_prompt=system_prompt)
+        chatbot.new_conversation(model_index, system_prompt, switch)
+        chatbot.chat(prompt)
+
+def test():
+
+    if fluxcapacitor:
+        flux_prompt="A astronaut riding a lollipop in lala land holding a sign with 'TEST' on it!." 
+        process_image(flux_prompt)
+
+    # Execute sanitized chatbot logic (no direct exec() here)
+    if chatbot:
+        # Start a new conversation with a given system prompt
+        chat_prompt="Hello make a python game"
+        run_chatbot(chat_prompt)
+
+test()
+
+def gradio_interface():
+    with gr.Blocks() as app:
+        with gr.Tab("Chatbot"):
+            chatbot_input = gr.Textbox(placeholder="Enter your message")
+            chatbot_output = gr.Textbox()
+            chatbot_input.submit(run_chatbot, chatbot_input, chatbot_output)
+        
+        with gr.Tab("Image Processing"):
+            image_input = gr.Image()
+            image_output = gr.Image()
+            image_input.change(process_image, image_input, image_output)
+
+    app.launch()
+
+if __name__ == "__main__":
+    gradio_interface()