Create app.py

app.py

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+import json
+import gradio as gr
+from together import Together
+
+# Load your JSON file
+with open("sultanbr_innovativeskills.json", "r", encoding="utf-8") as f:
+    json_data = json.load(f)
+
+# Flatten JSON into a string context
+context = json.dumps(json_data, indent=2)
+
+# Chat function
+def chat_with_json(api_key, user_message, history):
+    if not api_key:
+        return history + [[user_message, "⚠️ Please enter your Together API key first."]]
+    
+    try:
+        client = Together(api_key=api_key)
+
+        # Construct the system + user prompt
+        prompt = f"""You are an assistant that answers questions based on the following JSON data:
+{context}
+
+User question: {user_message}
+Answer clearly using only the relevant JSON information.
+"""
+
+        response = client.chat.completions.create(
+            model="lgai/exaone-3-5-32b-instruct",
+            messages=[{"role": "user", "content": prompt}]
+        )
+
+        bot_reply = response.choices[0].message.content
+        history.append([user_message, bot_reply])
+        return history
+
+    except Exception as e:
+        return history + [[user_message, f"⚠️ Error: {str(e)}"]]
+
+# Build Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## 📚 JSON Chatbot (Powered by Together API)")
+    api_key = gr.Textbox(label="Enter Together API Key", type="password")
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(label="Ask something...")
+    clear = gr.Button("Clear Chat")
+
+    state = gr.State([])
+
+    def respond(user_message, chat_history, api_key):
+        return chat_with_json(api_key, user_message, chat_history)
+
+    msg.submit(respond, [msg, state, api_key], state, queue=False).then(
+        lambda h: (h, ""), state, [chatbot, msg]
+    )
+
+    clear.click(lambda: [], None, state).then(lambda: [], None, chatbot)
+
+# Launch app
+if __name__ == "__main__":
+    demo.launch()