Changing structure and adding cactus requirements

app.py

@@ -1,63 +1,56 @@
+import os
 import gradio as gr
+from cactus.agent import Cactus
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    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 = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+
+MODEL_API_KEY_MAP = {
+    "gpt-3.5-turbo": "OPENAI_API_KEY",
+    "gpt-4": "OPENAI_API_KEY",
+    "claude-3-haiku-20240307": "ANTHROPIC_API_KEY",
+    "claude-3-opus-20240229": "ANTHROPIC_API_KEY",
+    "claude-3-sonnet-20240229": "ANTHROPIC_API_KEY",
+}
+
+
+def agent_fn(prompt, api_key=None):
+    env_key_name = MODEL_API_KEY_MAP.get(model_name)
+    if env_key_name:
+        if api_key:
+            os.environ[env_key_name] = api_key
+        else:
+            return f"Error: API key not found for {model_name}. Please provide it."
+    try:
+        cactus_model = Cactus(model_name, model_type="api")
+        response = cactus_model.run(prompt)
+        return response
+    except Exception as e:
+        return f"Error: {e}"
+
+
+with gr.Blocks() as iface:
+    with gr.Row():
+        model_name_dropdown = gr.Dropdown(
+            list(MODEL_API_KEY_MAP.keys()), label="Select Model"
+        )
+        api_key_input = gr.Textbox(label="Enter API Key", type="password")
+        prompt_input = gr.Textbox(
+            lines=2, placeholder="Enter your cheminformatics question..."
+        )
+
+    response_output = gr.Textbox(label="Agent Response")
+
+    # Event Triggers
+    model_name_dropdown.change(
+        lambda x: gr.update(visible=MODEL_API_KEY_MAP.get(x) is not None),
+        model_name_dropdown,
+        api_key_input,
+    )
+    api_key_input.change(
+        agent_fn, [prompt_input, model_name_dropdown, api_key_input], response_output
+    )
+    prompt_input.change(
+        agent_fn, [prompt_input, model_name_dropdown, api_key_input], response_output
+    )
+
+iface.launch()

requirements.txt

@@ -1 +1,2 @@
-huggingface_hub==0.22.2
+huggingface_hub==0.22.2
+git+https://github.com/pnnl/cactus.git@main#egg=cactus