Create app.py

app.py

@@ -0,0 +1,51 @@
+import os
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+class CodingAssistant:
+    def __init__(self):
+        self.client = InferenceClient(
+            model="codellama/CodeLlama-7b-Instruct-hf",  # Your custom model here
+            token=os.getenv("HF_TOKEN")
+        )
+        self.chat_history = []
+    
+    def respond(self, message, history):
+        # Build prompt with conversation context
+        prompt = f"""<s>[INST] <<SYS>>
+        You are an expert Python programmer. Provide safe, efficient code solutions.
+        Maintain conversation history: {self.chat_history[-3:] if self.chat_history else 'None'}
+        <</SYS>> {message} [/INST]"""
+        
+        # Generate response
+        response = self.client.text_generation(
+            prompt=prompt,
+            max_new_tokens=1024,
+            temperature=0.2,
+            repetition_penalty=1.1
+        )
+        
+        # Update history
+        self.chat_history.append((message, response))
+        return response
+
+# Initialize assistant
+assistant = CodingAssistant()
+
+# Create Gradio interface
+demo = gr.ChatInterface(
+    fn=assistant.respond,
+    examples=[
+        "How to implement a neural network in PyTorch?",
+        "Write a Python decorator for rate limiting",
+        "Optimize this pandas code: ..."
+    ],
+    title="Code Expert Assistant",
+    description="Ask me complex Python programming questions",
+    theme="soft",
+    retry_btn=None,
+    undo_btn=None
+)
+
+if __name__ == "__main__":
+    demo.launch()