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app.py

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+import gradio as gr
+import openai
+import os
+
+# Load your API key from environment (make sure it's set in the Hugging Face Secrets)
+openai.api_key = os.environ.get("OPENAI_API_KEY")
+
+# Optional: you can define this as a reusable variable if you plan to expand the prompt later
+def generate_feedback(user_input):
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",  # Required for compatibility
+            messages=[
+                {"role": "system", "content": "You are a helpful writing coach."},
+                {"role": "user", "content": f"Here is a student’s answer: {user_input}\nGive 2–3 sentences of thoughtful, supportive feedback."}
+            ]
+        )
+        return response.choices[0].message['content']
+    except Exception as e:
+        print("Error during OpenAI call:", e)
+        return f"Error: {str(e)}"
+
+# Build the UI
+with gr.Blocks() as demo:
+    gr.Markdown("## ✍️ AI Feedback System\nEnter your writing below to receive helpful feedback.")
+    input_text = gr.Textbox(lines=10, label="Your Writing")
+    output_text = gr.Textbox(label="AI Feedback")
+    submit_btn = gr.Button("Get Feedback")
+
+    submit_btn.click(generate_feedback, inputs=input_text, outputs=output_text)
+
+demo.launch()

requirements.txt

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+gradio==4.20.1
+openai==0.28
+python-dotenv==1.0.1
+langchain==0.1.14
+langchain-community==0.0.30