intial version 1

app.py

@@ -1,12 +1,10 @@
 import gradio as gr
+import subprocess
 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")
-
-
+question = "Fibonacci series."
+prompt = f"You are an expert in coding. your task is to explain error and give hint to understand question{question}.Do not give complete answer.Do not give implemmentation."
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -35,29 +33,61 @@ def respond(
         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)",
-        ),
-    ],
-)
+def run_python_code(code):
+    try:
+        result = subprocess.run(['python3', '-c', code], capture_output=True, text=True)
+        output = result.stdout if result.stdout else result.stderr
+        return output
+    except Exception as e:
+        return str(e)
+
+def AI_analyse(output):
+    try:
+        system_message = prompt
+        max_tokens = 512
+        temperature = 0.7
+        top_p = 0.95
+        message = prompt + "Please analyse the following code:\n" + output
+        response = respond(message, [], system_message, max_tokens, temperature, top_p)
+        for word in response:
+            res=str(word)
+        return res
+    except Exception as e:
+        return str(e)
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Code Wiz")
+
+    with gr.Row():
+        with gr.Column():
+            #question = gr.Markdown("### Question: Write a program to print Fibonacci series.")
+            gr.Textbox(label="Question: Write a program to print Fibonacci series.", lines=1,interactive=False)
+    with gr.Row():     
+        with gr.Column():
+            code = gr.Code(label="Python Code", language="python", lines=5,elem_id="box")
+            run_button = gr.Button("Run")
+    with gr.Row():
+        with gr.Column():
+            output = gr.Textbox(label="Output", lines=3, max_lines=20, interactive=False, elem_id="box")
+           
+    with gr.Row():
+        with gr.Column():
+            analyse_button = gr.Button("Analyse")
+            ai_suggestion = gr.Textbox(label="AI Suggest", lines=7, placeholder="AI suggestions will be displayed here", interactive=False,elem_id="box")
+            
+
+    run_button.click(fn=run_python_code, inputs=code, outputs=output)
+    analyse_button.click(fn=AI_analyse, inputs=output, outputs=ai_suggestion)
 
+    # Add custom CSS
+    demo.css = """
+    #box {
+        overflow-y: scroll; 
+    }
+    """
 
 if __name__ == "__main__":
     demo.launch()

requirements.txt

@@ -1 +1,2 @@
-huggingface_hub==0.22.2
+huggingface_hub==0.22.2
+subprocess