updated q from url

app.py

@@ -21,52 +21,45 @@ if not SYSTEM_PROMPT:
 
 client = OpenAI(api_key=OPENAI_API_KEY)
 
-system_prompt = {
-    "role": "system",
-    "content": SYSTEM_PROMPT
-}
-
 MODEL = "gpt-3.5-turbo"
 
-def predict(message, history, url_params):
-    # Now includes URL params in function but does not use it directly for OpenAI call
+def predict(message):
+    system_prompt = {
+        "role": "system",
+        "content": SYSTEM_PROMPT
+    }
     history_openai_format = [system_prompt]
-    for human, assistant in history:
-        history_openai_format.append({"role": "user", "content": human})
-        history_openai_format.append({"role": "assistant", "content": assistant})
     history_openai_format.append({"role": "user", "content": message})
 
     response = client.chat.completions.create(model=MODEL,
                                               messages=history_openai_format,
                                               temperature=1.0,
-                                              stream=True)
-
-    partial_message = ""
-    for chunk in response:
-        if chunk.choices[0].delta.content:
-            partial_message += chunk.choices[0].delta.content
-            yield partial_message
-
-# JavaScript functions to manipulate URL parameters
-get_window_url_params = """
-    function() {
-        const params = new URLSearchParams(window.location.search);
-        return { question: params.get("question") || "" };
-    }
+                                              max_tokens=150,
+                                              stream=False)
+    return response.choices[0].message['content']
+
+# JavaScript function to get the question from URL on load
+js_on_load = """
+function() {
+    const params = new URLSearchParams(window.location.search);
+    const question = params.get("question") || "Enter your question here";
+    return [question];
+}
 """
 
 with gr.Blocks() as app:
-    url_params = gr.Variable()
-    history = gr.Variable()  # Assuming history management is handled elsewhere or is not needed for first query
-    message = gr.Textbox(label="Your Question", value="")
-    message.change(fn=predict, inputs=[message, history, url_params], outputs=message, _js=get_window_url_params)
+    with gr.Row():
+        question_input = gr.Textbox(label="Your Question", placeholder="Enter your question here")
+        submit_button = gr.Button("Submit")
+    answer_output = gr.Textbox(label="Answer", interactive=False)
+
+    submit_button.click(fn=predict, inputs=question_input, outputs=answer_output)
     
-    app.load(_js=get_window_url_params)  # Load the question from URL on startup
+    app.load(js=js_on_load)  # Load the question from URL on startup
 
 app.launch(share=True, debug=True)
 
 
-
 # V0
 # from openai import OpenAI
 # import gradio as gr