Update HIM implementation

.gitattributes

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+=======
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+>>>>>>> origin/main

README.md

@@ -0,0 +1,14 @@
+---
+title: HIM Self
+emoji: 💬
+colorFrom: yellow
+colorTo: purple
+sdk: gradio
+sdk_version: 5.0.1
+app_file: app.py
+pinned: false
+license: mit
+short_description: The Hybrid Intelligence Model (HIM) is a consciousness-orien
+---
+
+An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+<<<<<<< HEAD
 from src.model.him_model import HIMModel
 from src.core.config import HIMConfig
 
@@ -33,4 +34,69 @@ interface = gr.Interface(
     ],
     title="Hybrid Intelligence Matrix (HIM)",
     description="Interact with the HIM system for advanced cognitive processing"
-)
+)
+=======
+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()
+>>>>>>> origin/main

requirements.txt

@@ -1,3 +1,4 @@
+<<<<<<< HEAD
 torch>=2.0.0
 transformers>=4.30.0
 gradio>=3.35.2
@@ -5,4 +6,7 @@ numpy>=1.24.0
 networkx>=3.1
 scipy>=1.10.0
 pandas>=2.0.0
-plotly>=5.15.0
+plotly>=5.15.0
+=======
+huggingface_hub==0.25.2
+>>>>>>> origin/main