Update app.py

app.py

@@ -1,16 +1,14 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Initialize the Hugging Face Inference Client
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta", token=hf_api_token)
+
 
 def explain_and_run_code(code_snippet):
-    # Prepare a basic system message
     system_message = "You are an expert assistant that explains Python code snippets clearly and concisely."
     explanation = ""
     output = ""
 
-    # Generate the explanation using the model
     try:
         messages = [{"role": "system", "content": system_message}]
         messages.append({
@@ -25,16 +23,14 @@ def explain_and_run_code(code_snippet):
             temperature=0.7,
             top_p=0.95
         ):
-            token = msg["choices"][0]["delta"]["content"]
+            token = msg["choices"][0]["delta"].get("content", "")
             explanation += token
     except Exception as e:
         explanation = f"An error occurred during explanation: {str(e)}"
 
-    # Execute the code snippet and capture the output
     try:
         import io
         import contextlib
-
         output_buffer = io.StringIO()
         with contextlib.redirect_stdout(output_buffer):
             exec(code_snippet)
@@ -44,12 +40,13 @@ def explain_and_run_code(code_snippet):
 
     return f"**Explanation:**\n{explanation}\n\n**Output:**\n{output}"
 
-# Create the Gradio Interface with centered title
+
+# Gradio Interface
 demo = gr.Interface(
     fn=explain_and_run_code,
     inputs=gr.Textbox(placeholder="Enter your code snippet here...", label="Code Snippet", lines=10),
     outputs=gr.Textbox(label="Explanation and Output", lines=15),
-    title="DECIPHER The Python Code Explainer\n\n                    Al Capstone Project\n                         (XII-C)",
+    title="DECIPHER The Python Code Explainer\n\n                    AI Capstone Project\n                         (XII-C)",
     theme="default"
 )