Update app.py

app.py

@@ -47,11 +47,7 @@ def ask_openai(question):
         if not response_received:
             return "Response timed out."
 
-        steps = client.beta.threads.runs.steps.list(
-            thread_id=thread.id,
-            run_id=run.id
-        )
-
+        response_text = "No response."
         if steps.data:
             last_step = steps.data[-1]
             if last_step.type == 'message_creation':
@@ -61,9 +57,17 @@ def ask_openai(question):
                     message_id=message_id
                 )
                 if message.content and message.content[0].type == 'text':
-                    return message.content[0].text.value
-        return "No response."
-        
+                    response_text = message.content[0].text.value
+
+        gradio_client = Client("https://tonic1-tulu.hf.space/--replicas/9sffh/")
+        final_result = gradio_client.predict(
+            response_text,  
+            "I am Tulu, an Expert Plant Doctor, i provide plant assessments. Please tell me more about your situation.",
+            1300, 0.4, 0.9, 0.9, False, fn_index=0
+        )
+
+        return final_result
+
     except Exception as e:
         return f"An error occurred: {str(e)}"
 
@@ -71,8 +75,8 @@ iface = gr.Interface(
     fn=ask_openai,
     inputs=gr.Textbox(lines=5, placeholder="Hi there, I have a plant that's..."),
     outputs=gr.Markdown(),
-    title="Wecome to Tonic's Bulbi Plant Doctor",
-    description="""Introduce your plant below. Be as descriptive as possible. Respond with additional information when prompted. Save your plants with Bulbi Plant Doctor""",
+    title="Wecome to Tonic's Bulbi-Tulu Plant Doctor",
+    description="""Welcome to Bulbi using [Tulu](https://huggingface.co/allenai/tulu-2-dpo-70b). Introduce your plant below. Be as descriptive as possible. Respond with additional information when prompted. Save your plants with Tulu Plant Doctor""",
     examples=examples
 )