Update app.py

app.py

@@ -1,35 +1,36 @@
-import gradio as gr
+import os
 import openai
+from flask import Flask, request, jsonify
 
-# Paste your OpenAI key here
-openai.api_key = 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
-
-
-def chat_with_ai(message, history):
-    history = history or []
-    conversation = [{"role": "system", "content": "You are a friendly, helpful student buddy and tutor. Keep explanations clear and engaging, as if you are a supportive classmate."}]
-    
-    for user, bot in history:
-        conversation.append({"role": "user", "content": user})
-        conversation.append({"role": "assistant", "content": bot})
-    conversation.append({"role": "user", "content": message})
-
-    response = openai.ChatCompletion.create(
-        model="gpt-4o-mini",  # Fast & affordable
-        messages=conversation
-    )
-
-    bot_reply = response["choices"][0]["message"]["content"]
-    history.append((message, bot_reply))
-    return history, history
-
-with gr.Blocks() as demo:
-    gr.Markdown("# 🎓 SmartMate AI\nAsk me anything about your courses!")
-    chatbot = gr.Chatbot()
-    state = gr.State()
-    with gr.Row():
-        msg = gr.Textbox(placeholder="Type your question here...")
-        submit = gr.Button("Send")
-    submit.click(chat_with_ai, inputs=[msg, state], outputs=[chatbot, state])
-
-demo.launch()
+app = Flask(__name__)
+
+# ✅ Get the API key from environment variables
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+if not openai.api_key:
+    raise ValueError("❌ OPENAI_API_KEY is not set. Go to Hugging Face > Settings > Variables and Secrets and add it there.")
+
+@app.route("/chat", methods=["POST"])
+def chat():
+    try:
+        data = request.json
+        user_message = data.get("message", "")
+
+        if not user_message:
+            return jsonify({"error": "Message is required"}), 400
+
+        # Example: call the ChatGPT model
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",  # or gpt-4 if available
+            messages=[{"role": "user", "content": user_message}],
+            temperature=0.7
+        )
+
+        reply = response.choices[0].message["content"]
+        return jsonify({"reply": reply})
+
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)