testing url params

app.py

@@ -1,65 +1,74 @@
-from openai import OpenAI
 import gradio as gr
-import os, json
-
-# Attempt to load configuration from config.json
-try:
-    with open('config.json') as config_file:
-        config = json.load(config_file)
-    OPENAI_API_KEY = config.get("OPENAI_API_KEY")
-    SYSTEM_PROMPT = config.get("SYSTEM_PROMPT")
-except FileNotFoundError:
-    # If config.json is not found, fall back to environment variables
-    OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-    SYSTEM_PROMPT = os.getenv("SYSTEM_PROMPT")
-
-# Fallback to default values if necessary
-if not OPENAI_API_KEY:
-    raise ValueError("OPENAI_API_KEY is not set in config.json or as an environment variable.")
-if not SYSTEM_PROMPT:
-    SYSTEM_PROMPT = "This is a default system prompt."
-
-client = OpenAI(api_key=OPENAI_API_KEY)
-
-MODEL = "gpt-3.5-turbo"
-
-def predict(message):
-    system_prompt = {
-        "role": "system",
-        "content": SYSTEM_PROMPT
-    }
-    history_openai_format = [system_prompt]
-    history_openai_format.append({"role": "user", "content": message})
-
-    response = client.chat.completions.create(model=MODEL,
-                                              messages=history_openai_format,
-                                              temperature=1.0,
-                                              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:
-    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=js_on_load)  # Load the question from URL on startup
 
-app.launch(share=True, debug=True)
+def test(x, request: gr.Request):
+    return request.query_params
+
+gr.Interface(test, "textbox", "textbox").launch()  
+
+
+
+# from openai import OpenAI
+# import gradio as gr
+# import os, json
+
+# # Attempt to load configuration from config.json
+# try:
+#     with open('config.json') as config_file:
+#         config = json.load(config_file)
+#     OPENAI_API_KEY = config.get("OPENAI_API_KEY")
+#     SYSTEM_PROMPT = config.get("SYSTEM_PROMPT")
+# except FileNotFoundError:
+#     # If config.json is not found, fall back to environment variables
+#     OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+#     SYSTEM_PROMPT = os.getenv("SYSTEM_PROMPT")
+
+# # Fallback to default values if necessary
+# if not OPENAI_API_KEY:
+#     raise ValueError("OPENAI_API_KEY is not set in config.json or as an environment variable.")
+# if not SYSTEM_PROMPT:
+#     SYSTEM_PROMPT = "This is a default system prompt."
+
+# client = OpenAI(api_key=OPENAI_API_KEY)
+
+# MODEL = "gpt-3.5-turbo"
+
+# def predict(message):
+#     system_prompt = {
+#         "role": "system",
+#         "content": SYSTEM_PROMPT
+#     }
+#     history_openai_format = [system_prompt]
+#     history_openai_format.append({"role": "user", "content": message})
+
+#     response = client.chat.completions.create(model=MODEL,
+#                                               messages=history_openai_format,
+#                                               temperature=1.0,
+#                                               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:
+#     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=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