Create app.py

app.py

@@ -0,0 +1,53 @@
+import gradio as gr
+import time
+from openai import OpenAI
+api_key = os.environ["OPENAI_API_KEY_PUBLIC"]
+
+class ask_me:
+    def __init__(self):
+        self.client = OpenAI(api_key=api_key)
+        self.thread = self.client.beta.threads.create()
+    
+    def ask(self,question):
+        run = self.client.beta.threads.runs.create(
+              thread_id=self.thread.id,
+              assistant_id='asst_cqL6gztTsqBGDdkKegpcQ32Y',
+              instructions="How many MOF with Cu?"
+            )
+        while run.status in ['queued', 'in_progress', 'cancelling']:
+            time.sleep(1) # Wait for 1 second
+            run = self.client.beta.threads.runs.retrieve(
+                thread_id=self.thread.id,
+                run_id=run.id
+            )
+        if run.status == 'completed': 
+            messages = self.client.beta.threads.messages.list(
+                thread_id=self.thread.id
+            )
+            return messages.data[0].content[0].text.value
+        else:
+            return run.status
+        
+    def clear(self):
+        self.thread = self.client.beta.threads.create()
+        return "New search is there."
+def wait():
+    time.sleep(1)
+    return "Waiting for the answer."
+
+temp = ask_me()
+with gr.Blocks() as demo:
+
+    with gr.Row():
+        with gr.Column(scale=5):
+            search_box = gr.Textbox(label= "Your questions",value="How many MOF with Cu?",interactive = True)
+        with gr.Column(scale=2):
+            sub = gr.Button("Ask it!")
+            clear = gr.Button("New search")
+            
+    with gr.Row():
+            text = gr.Textbox(label= "Result",value="Answer is out there.")
+        
+    sub.click(temp.ask,inputs=search_box,outputs=text)
+    clear.click(temp.clear,outputs=text)
+demo.launch(debug=True)