update readme

.gitattributes

@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+.env

README.md

@@ -0,0 +1 @@
+for luna deepseek

app.py

@@ -0,0 +1,37 @@
+import os
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# Initialize the client
+client = InferenceClient(
+    provider="fireworks-ai",
+    api_key=os.environ.get("HF_TOKEN"),
+)
+
+def chat_with_ai(message, history):
+    """Chat function that interacts with the AI model"""
+    try:
+        completion = client.chat.completions.create(
+            model="deepseek-ai/DeepSeek-V3.1",
+            messages=[
+                {
+                    "role": "user",
+                    "content": message
+                }
+            ],
+        )
+        return completion.choices[0].message.content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Create the Gradio interface
+demo = gr.ChatInterface(
+    fn=chat_with_ai,
+    title="AI Chat Assistant",
+    description="Ask me anything using DeepSeek-V3.1!",
+    examples=["What is the capital of France?", "Explain quantum computing", "Write a poem about AI"]
+)
+
+# Launch the application
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)