Create app.py

app.py

@@ -0,0 +1,41 @@
+# app.py
+import openai
+import gradio as gr
+import os
+
+# Use Hugging Face secrets (you'll set this on HF later)
+openai.api_key = os.environ.get("GROQ_API_KEY")  
+openai.api_base = "https://api.groq.com/openai/v1"
+
+def tutor_chatbot(subject, question, chat_history=[]):
+    try:
+        messages = [
+            {"role": "system", "content": f"You are a helpful and expert tutor in {subject}."},
+            {"role": "user", "content": question}
+        ]
+
+        response = openai.ChatCompletion.create(
+            model="llama3-8b-8192",  # or gemma-7b-it
+            messages=messages,
+            temperature=0.5,
+            max_tokens=800,
+        )
+        answer = response.choices[0].message.content
+        chat_history.append((question, answer))
+        return chat_history
+    except Exception as e:
+        return chat_history + [("Error", str(e))]
+
+subjects = ["Math", "Physics", "Biology", "CSS Exam", "Computer Science", "History"]
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 📚 AI Educational Tutor Chatbot (Groq API)")
+    subject = gr.Dropdown(choices=subjects, label="Choose Subject")
+    chatbot = gr.Chatbot()
+    question = gr.Textbox(label="Your Question")
+    state = gr.State([])
+
+    submit_btn = gr.Button("Get Answer")
+    submit_btn.click(fn=tutor_chatbot, inputs=[subject, question, state], outputs=[chatbot])
+
+demo.launch()