simpler test

app.py

@@ -1,54 +1,62 @@
-import os
 import gradio as gr
-import openai
-
-
-user_db = { 
-           os.environ["username"]: os.environ["password"],
-          }
-
-# Assistant Creation function
-def create_assistant_json(uploaded_file, assistant_name,  assistant_message):
-    client = openai.OpenAI(api_key=os.environ["API_TOKEN"])
-    # Check if a file was uploaded
-    print(uploaded_file)
-    df = open(uploaded_file, "rb")
-    file = client.files.create(file=df,
-                               purpose='assistants')
-
-    assistant = client.beta.assistants.create(
-        name=assistant_name,
-        instructions=assistant_message,
-        model="gpt-4-0125-preview",
-        tools=[
-            {
-                "type": "retrieval"  # This adds the knowledge base as a tool
-            }
-        ],
-        file_ids=[file.id])
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()
+
+# import os
+# import gradio as gr
+# import openai
+
+
+# user_db = { 
+#            os.environ["username"]: os.environ["password"],
+#           }
+
+# # Assistant Creation function
+# def create_assistant_json(uploaded_file, assistant_name,  assistant_message):
+#     client = openai.OpenAI(api_key=os.environ["API_TOKEN"])
+#     # Check if a file was uploaded
+#     print(uploaded_file)
+#     df = open(uploaded_file, "rb")
+#     file = client.files.create(file=df,
+#                                purpose='assistants')
+
+#     assistant = client.beta.assistants.create(
+#         name=assistant_name,
+#         instructions=assistant_message,
+#         model="gpt-4-0125-preview",
+#         tools=[
+#             {
+#                 "type": "retrieval"  # This adds the knowledge base as a tool
+#             }
+#         ],
+#         file_ids=[file.id])
     
-    return assistant.id
-
-# Creating the Gradio interface
-with gr.Blocks() as demo:
-    gr.Markdown("## To create an OpenAI Assistant please fill in the following sections. Upload a file to give the Assistant knowledge and a focus on something outside of it's normal training. Then add an assistant name and message. The Assistant message should guide the model into in a role. An example would be, You are a helpful Asssitant who is knowledgable in the field of...")
-    gr.Markdown("## After creating the ID head to [OpenAI_Assistant_Chat](https://huggingface.co/spaces/jadend/OpenAI_Assistant_Chat).")
-    with gr.Row():
-        file_input = gr.File(label="Upload your file", type="filepath")
-        assistant_name = gr.Textbox(label="The Assistant's Name")
-        assistant_message = gr.Textbox(label="Assistant Message")
-    generate_button = gr.Button("Generate Your Assistant ID") 
-    output_id = gr.Textbox(label="Your Asssistant ID", value="")
+#     return assistant.id
+
+# # Creating the Gradio interface
+# with gr.Blocks() as demo:
+#     gr.Markdown("## To create an OpenAI Assistant please fill in the following sections. Upload a file to give the Assistant knowledge and a focus on something outside of it's normal training. Then add an assistant name and message. The Assistant message should guide the model into in a role. An example would be, You are a helpful Asssitant who is knowledgable in the field of...")
+#     gr.Markdown("## After creating the ID head to [OpenAI_Assistant_Chat](https://huggingface.co/spaces/jadend/OpenAI_Assistant_Chat).")
+#     with gr.Row():
+#         file_input = gr.File(label="Upload your file", type="filepath")
+#         assistant_name = gr.Textbox(label="The Assistant's Name")
+#         assistant_message = gr.Textbox(label="Assistant Message")
+#     generate_button = gr.Button("Generate Your Assistant ID") 
+#     output_id = gr.Textbox(label="Your Asssistant ID", value="")
     
-    generate_button.click(
-        fn=create_assistant_json,
-        inputs=[file_input, assistant_name, assistant_message],
-        outputs=output_id
-    )
-
-if __name__ == "__main__":
-    demo.launch(#enable_queue=False,
-        # Creates an auth screen 
-        auth=lambda u, p: user_db.get(u) == p,
-        auth_message="Welcome! Enter a Username and Password"
-               ).queue()
+#     generate_button.click(
+#         fn=create_assistant_json,
+#         inputs=[file_input, assistant_name, assistant_message],
+#         outputs=output_id
+#     )
+
+# if __name__ == "__main__":
+#     demo.launch(#enable_queue=False,
+#         # Creates an auth screen 
+#         auth=lambda u, p: user_db.get(u) == p,
+#         auth_message="Welcome! Enter a Username and Password"
+#                ).queue()