Delete app.py

app.py

@@ -1,86 +0,0 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-client = InferenceClient("meta-llama/Llama-3.2-3B-Instruct")
-
-def respond(
-    model_name,
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    if model_name == "Llama":
-        for message in client.chat_completion(
-            messages,
-            max_tokens=512,
-            stream=True,
-            temperature=0.7,
-            top_p=0.95,
-        ):
-            token = message.choices[0].delta.content
-            response += token
-    elif model_name == "Chatgpt":
-        response = "ChatGPT functionality is not yet implemented."
-    elif model_name == "Claude":
-        response = "Claude functionality is not yet implemented."
-    else:
-        response = "Model not recognized."
-
-    return response
-
-
-# CSS for styling the interface
-css = """
-body {
-    background-color: #06688E; /* Dark background */
-    color: white; /* Text color for better visibility */
-}
-.gr-button {
-    background-color: #42B3CE !important; /* White button color */
-    color: black !important; /* Black text for contrast */
-    border: none !important;
-    padding: 8px 16px !important;
-    border-radius: 5px !important;
-}
-.gr-button:hover {
-    background-color: #e0e0e0 !important; /* Slightly lighter button on hover */
-}
-"""
-
-# Define the button click handler to hide the dropdown
-def on_button_click(model_name, message, history, system_message, dropdown_state):
-    # Close the dropdown by setting the state to False
-    return respond(model_name, message, history, system_message), gr.update(visible=False)
-
-# Define the Gradio interface with buttons and model selection
-demo = gr.Interface(
-    fn=on_button_click,
-    inputs=[
-        gr.Textbox(value="Hello!", label="User Message"),
-        gr.Textbox(value="You are a virtual health assistant. Your primary goal is to assist with health-related queries.", label="System Message", visible=False),
-        gr.Button("Chatgpt"),
-        gr.Button("Llama"),
-        gr.Button("Claude"),
-        gr.State(value=False),  # Add state to track visibility of the dropdown
-    ],
-    outputs=[
-        "text",  # For the model's response
-        gr.State(value=True),  # This should be the state output, which tracks visibility
-    ],
-    css=css,  # Pass the custom CSS here
-)
-
-if __name__ == "__main__":
-    demo.launch(share=True)