Create app.py

app.py

@@ -0,0 +1,58 @@
+import gradio as gr
+import openai
+
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Set your OpenAI API key
+openai.api_key = os.getenv('OPENAI_API_KEY')
+
+assistant_id=os.getenv('ASSISTANT_ID')
+
+# Initialize OpenAI client
+client = openai.OpenAI(api_key=openai.api_key)
+
+# Function to interact with OpenAI Assistant
+def ask_openai(question):
+    # Step 2: Create a Thread
+    thread = client.beta.threads.create()
+
+    # Step 3: Add a Message to a Thread
+    client.beta.threads.messages.create(
+        thread_id=thread.id,
+        role="user",
+        content=question
+    )
+
+    # Step 4: Run the Assistant
+    run = client.beta.threads.runs.create(
+        thread_id=thread.id,
+    )
+
+    # Step 5: Check the Run status
+    run = client.beta.threads.runs.retrieve(
+        thread_id=thread.id,
+        run_id=run.id
+    )
+
+    # Step 6: Display the Assistant's Response
+    messages = client.beta.threads.messages.list(
+        thread_id=thread.id
+    )
+
+    # Extracting the assistant's response
+    response = next((msg for msg in messages['data'] if msg['role'] == 'assistant'), None)
+    return response['content'][0]['text']['value'] if response else "No response."
+
+# Create Gradio Interface
+iface = gr.Interface(
+    fn=ask_openai,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Ask a question..."),
+    outputs="text",
+    title="OpenAI Assistant",
+    description="Ask any question to the OpenAI Assistant!"
+)
+
+# Run the Gradio app
+iface.launch()