Update app.py

app.py

@@ -1,64 +1,174 @@
 import gradio as gr
 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)",
-        ),
-    ],
-)
+import gradio as gr
+from transformers import pipeline
+from graphviz import Digraph
+import sqlite3
+import os
+
+# Initialize AI model
+ai_model = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+# Database setup
+DB_PATH = "fractal_tree.db"
+
+def init_db():
+    """Initialize the SQLite database."""
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    cursor.execute("""
+    CREATE TABLE IF NOT EXISTS nodes (
+        id INTEGER PRIMARY KEY AUTOINCREMENT,
+        data TEXT,
+        module TEXT,
+        parent_id INTEGER,
+        FOREIGN KEY(parent_id) REFERENCES nodes(id)
+    )
+    """)
+    conn.commit()
+    conn.close()
+
+def save_node(data, module, parent_id=None):
+    """Save a node to the database."""
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    cursor.execute("INSERT INTO nodes (data, module, parent_id) VALUES (?, ?, ?)", (data, module, parent_id))
+    conn.commit()
+    node_id = cursor.lastrowid
+    conn.close()
+    return node_id
+
+def get_node(node_id):
+    """Retrieve a node by ID."""
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    cursor.execute("SELECT * FROM nodes WHERE id = ?", (node_id,))
+    node = cursor.fetchone()
+    conn.close()
+    return node
+
+def get_children(parent_id):
+    """Retrieve children of a node."""
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    cursor.execute("SELECT * FROM nodes WHERE parent_id = ?", (parent_id,))
+    children = cursor.fetchall()
+    conn.close()
+    return children
+
+def build_graph():
+    """Build a graphical representation of the tree."""
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    cursor.execute("SELECT * FROM nodes")
+    nodes = cursor.fetchall()
+    conn.close()
+
+    graph = Digraph()
+    for node in nodes:
+        graph.node(str(node[0]), f"{node[1]} ({node[2]})")
+        if node[3]:  # If parent_id exists
+            graph.edge(str(node[3]), str(node[0]))
+    return graph
+
+# Initialize database
+init_db()
+
+# Fractal Tree Manager
+class FractalTree:
+    def __init__(self):
+        self.current_node = None
+        self.ensure_root_exists()
+
+    def ensure_root_exists(self):
+        """Ensure the root node exists."""
+        conn = sqlite3.connect(DB_PATH)
+        cursor = conn.cursor()
+        cursor.execute("SELECT * FROM nodes WHERE parent_id IS NULL")
+        root = cursor.fetchone()
+        if not root:
+            self.current_node = save_node("Root", "Root Module")
+        else:
+            self.current_node = root[0]
+        conn.close()
+
+    def add_node(self, data):
+        """Add a new node as a child of the current node."""
+        suggestion = ai_model(data)[0]['label']  # AI suggests a module
+        node_id = save_node(data, suggestion, self.current_node)
+        return f"Added node: '{data}' with module: '{suggestion}'"
+
+    def go_to_child(self, index):
+        """Navigate to a child node by index."""
+        children = get_children(self.current_node)
+        if 0 <= index < len(children):
+            self.current_node = children[index][0]
+            return f"Moved to child node: {children[index][1]}"
+        return "Invalid child index."
+
+    def go_to_parent(self):
+        """Navigate to the parent node."""
+        node = get_node(self.current_node)
+        if node and node[3]:
+            self.current_node = node[3]
+            return f"Moved to parent node: {get_node(self.current_node)[1]}"
+        return "Already at the root node."
+
+    def view_tree(self):
+        """Generate a visual representation of the tree."""
+        graph = build_graph()
+        graph_path = "/tmp/fractal_tree"
+        graph.render(graph_path, format="png", cleanup=True)
+        return graph_path + ".png"
+
+# Initialize fractal tree
+fractal_tree = FractalTree()
+
+# Gradio Functions
+def add_node(data):
+    """Add a new node."""
+    return fractal_tree.add_node(data)
+
+def go_to_child(index):
+    """Navigate to a child node."""
+    return fractal_tree.go_to_child(int(index))
+
+def go_to_parent():
+    """Navigate to the parent node."""
+    return fractal_tree.go_to_parent()
+
+def view_tree():
+    """Display the tree structure."""
+    return fractal_tree.view_tree()
+
+# Gradio Interface
+with gr.Blocks() as app:
+    gr.Markdown("# Emergent Fractal App")
+
+    # Add Node Section
+    with gr.Row():
+        data_input = gr.Textbox(label="Enter Node Data")
+        add_button = gr.Button("Add Node")
+
+    output_text = gr.Textbox(label="Output", interactive=False)
+
+    # Navigation Section
+    with gr.Row():
+        child_index = gr.Number(label="Child Index", value=0, precision=0)
+        child_button = gr.Button("Go to Child")
+        parent_button = gr.Button("Go to Parent")
+
+    # Tree Visualization
+    tree_view_button = gr.Button("View Tree")
+    tree_view = gr.Image(label="Tree Structure")
 
+    # Connect Functions
+    add_button.click(add_node, inputs=[data_input], outputs=[output_text])
+    child_button.click(go_to_child, inputs=[child_index], outputs=[output_text])
+    parent_button.click(go_to_parent, outputs=[output_text])
+    tree_view_button.click(view_tree, outputs=[tree_view])
 
+# Launch App
 if __name__ == "__main__":
-    demo.launch()
+    app.launch()