Update app.py

app.py

@@ -13,7 +13,7 @@ For more information on `huggingface_hub` Inference API support, please check th
 # client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 
-def advancedPromptPipeline(InputPrompt):
+async def advancedPromptPipeline(InputPrompt):
     
     model="gpt-4o-mini"
     
@@ -27,20 +27,21 @@ def advancedPromptPipeline(InputPrompt):
     enhancer = PromptEnhancer(model)
     
     start_time = time.time()
-    advanced_prompt = enhancer.enhance_prompt(input_prompt, perform_eval=False)
+    advanced_prompt = await enhancer.enhance_prompt(input_prompt, perform_eval=False)
     elapsed_time = time.time() - start_time
 
 
-    yield advanced_prompt["advanced_prompt"]
-    #return {
-        #"model": model,
-        #"elapsed_time": elapsed_time,
-        #"prompt_tokens": enhancer.prompt_tokens,
-        #"completion_tokens": enhancer.completion_tokens,
-        #"approximate_cost": (enhancer.prompt_tokens*i_cost)+(enhancer.completion_tokens*o_cost),
-        #"inout_prompt": input_prompt,
-        #"advanced_prompt": advanced_prompt["advanced_prompt"],
-    #}
+    """return {
+        "model": model,
+        "elapsed_time": elapsed_time,
+        "prompt_tokens": enhancer.prompt_tokens,
+        "completion_tokens": enhancer.completion_tokens,
+        "approximate_cost": (enhancer.prompt_tokens*i_cost)+(enhancer.completion_tokens*o_cost),
+        "inout_prompt": input_prompt,
+        "advanced_prompt": advanced_prompt["advanced_prompt"],
+    }"""
+
+    return advanced_prompt["advanced_prompt"]
 
 
 def respond(
@@ -60,13 +61,9 @@ def respond(
     #        messages.append({"role": "assistant", "content": val[1]})
     #
     #messages.append({"role": "user", "content": message})
-
-    messages = []
     
     response = ""
 
-    advancedPromptPipeline(f"{message}")
-
     #for message in client.chat_completion(
     #    messages,
     #    max_tokens=max_tokens,
@@ -82,9 +79,9 @@ def respond(
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
-demo = gr.ChatInterface(
+#demo = gr.ChatInterface(
     #advancedPromptPipeline,
-    respond,
+#    respond,
     #additional_inputs=[
         #gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
         #gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
@@ -92,7 +89,9 @@ demo = gr.ChatInterface(
         #gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)",
     #    ),
     #],
-)
+#)
+
+demo = gr.Interface(fn=advancedPromptPipeline, inputs="textbox", outpust="textbox")
 
 
 if __name__ == "__main__":