Update app.py

app.py

@@ -6,7 +6,7 @@ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 def explain_code(
     code_snippet,
-    history: list[tuple[str, str]],
+    history,
     system_message: str,
     max_tokens: int,
     temperature: float,
@@ -14,59 +14,56 @@ def explain_code(
 ):
     # Prepare messages for the model
     messages = [{"role": "system", "content": system_message}]
-
+    
     # Append previous interactions
     for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+        if val['role'] == 'user':
+            messages.append({"role": "user", "content": val['content']})
+        elif val['role'] == 'assistant':
+            messages.append({"role": "assistant", "content": val['content']})
 
     # Add the code snippet for explanation
     messages.append({"role": "user", "content": f"Please provide a detailed explanation of the following code snippet:\n```{code_snippet}```"})
 
     response = ""
 
-    # Generate the response using the model
-    for msg in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = msg.choices[0].delta.content
-        response += token
+    try:
+        for msg in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            token = msg.choices[0].delta.content
+            response += token
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
 
-    return response  # Return the complete response
+    return response
 
-# Example inputs as nested lists
+# Example inputs
 examples = [
-    ["x = 5\nprint(x)"],  # Simple Variable Assignment
-    ["def add(a, b):\n    return a + b\nresult = add(2, 3)\nprint(result)"],  # Function Definition
-    ["for i in range(5):\n    print(i)"],  # Looping Through a Range
-    ["if x > 0:\n    print('Positive')\nelse:\n    print('Non-positive')"],  # Conditional Statement
-    ["squares = [i**2 for i in range(10)]\nprint(squares)"],  # List Comprehension
+    ["x = 5\nprint(x)"],  
+    ["def add(a, b):\n    return a + b\nresult = add(2, 3)\nprint(result)"],
+    ["for i in range(5):\n    print(i)"],  
+    ["if x > 0:\n    print('Positive')\nelse:\n    print('Non-positive')"],
+    ["squares = [i**2 for i in range(10)]\nprint(squares)"],
 ]
 
-# Create the Gradio Chat Interface
-demo = gr.ChatInterface(
-    explain_code,
-    additional_inputs=[
+# Create the Gradio Interface
+demo = gr.Interface(
+    fn=explain_code,
+    inputs=[
+        gr.Textbox(placeholder="Enter your code snippet here...", label="Code Snippet", lines=10),
         gr.Textbox(value="You are an expert assistant that explains Python code snippets clearly and concisely.", 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)"),
     ],
     examples=examples,
-)
-
-# Update the code snippet input to be a multi-line textbox
-demo.update_component(
-    "textbox",
-    gr.Textbox(placeholder="Enter your code snippet here...", label="Code Snippet", lines=10)  # Multi-line input
+    title="Python Code Explainer"
 )
 
 if __name__ == "__main__":
     demo.launch()
-