Create app.py

app.py

@@ -0,0 +1,64 @@
+import openai
+import gradio as gr
+
+# Pricing for GPT-3.5-turbo (as of June 2024)
+INPUT_COST_PER_1K = 0.0015
+OUTPUT_COST_PER_1K = 0.002
+
+def ask_question(api_key, user_question):
+    if not api_key:
+        return "❌ Please enter your OpenAI API key.", "", ""
+    
+    try:
+        # Set the OpenAI API key
+        openai.api_key = api_key
+
+        # Query GPT-3.5
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant."},
+                {"role": "user", "content": user_question}
+            ],
+            temperature=0.5
+        )
+
+        # Extract response
+        answer = response["choices"][0]["message"]["content"]
+
+        # Token usage
+        usage = response["usage"]
+        input_tokens = usage['prompt_tokens']
+        output_tokens = usage['completion_tokens']
+        total_tokens = usage['total_tokens']
+
+        # Cost calculation
+        input_cost = input_tokens * INPUT_COST_PER_1K / 1000
+        output_cost = output_tokens * OUTPUT_COST_PER_1K / 1000
+        total_cost = input_cost + output_cost
+
+        token_info = f"🔢 Tokens Used: {total_tokens} (Input: {input_tokens}, Output: {output_tokens})"
+        cost_info = f"💰 Estimated Cost: ${total_cost:.6f}"
+
+        return answer, token_info, cost_info
+
+    except Exception as e:
+        return f"❌ Error: {str(e)}", "", ""
+
+# Create Gradio Interface
+iface = gr.Interface(
+    fn=ask_question,
+    inputs=[
+        gr.Textbox(label="🔐 OpenAI API Key", type="password", placeholder="sk-..."),
+        gr.Textbox(label="❓ Your Question", placeholder="Ask anything...")
+    ],
+    outputs=[
+        gr.Textbox(label="🤖 GPT Response"),
+        gr.Textbox(label="📊 Token Info"),
+        gr.Textbox(label="💵 Cost Estimate")
+    ],
+    title="🧠 Ask GPT-3.5 with Your Own API Key",
+    description="Enter your OpenAI API key and a question. It will respond using GPT-3.5 and show token usage + cost."
+)
+
+iface.launch()