Delete app1.py

app1.py

@@ -1,60 +0,0 @@
-import os
-import gradio as gr
-
-from text_generation import Client, InferenceAPIClient
-
-
-def get_client(model: str):
-    return InferenceAPIClient(model, token=os.getenv("HF_TOKEN", None),timeout=100)
-
-
-def get_usernames(model: str):
-    """
-    Returns:
-        (str, str, str, str): pre-prompt, username, bot name, separator
-    """
-    if model in ("OpenAssistant/oasst-sft-1-pythia-12b", "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5"):
-        return "", "<|prompter|>", "<|assistant|>", "<|endoftext|>"
-    return "", "User: ", "Assistant: ", "\n"
-
-
-def predict(
-    inputs: str,
-):
-    model = "OpenAssistant/oasst-sft-1-pythia-12b"
-    client = get_client(model)
-    preprompt, user_name, assistant_name, sep = get_usernames(model)
-
-    past = []
-    limits = ",in max 200 words"
-    total_inputs = preprompt + "".join(past) + inputs + limits + sep + assistant_name.rstrip() 
-
-    partial_words = ""
-
-    if model in ("OpenAssistant/oasst-sft-1-pythia-12b", "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5"):
-        iterator = client.generate(
-            total_inputs,
-            typical_p=0.1,
-            truncate=1000,
-            watermark=0,
-            max_new_tokens=502,
-        )
-
-
-    yield iterator.generated_text
-
-g = gr.Interface(
-    fn=predict,
-    inputs=[
-
-        gr.components.Textbox(lines=3, label="Hi, how can I help you?", placeholder=""),
-    ],
-    outputs=[
-        gr.inputs.Textbox(
-            lines=10,
-            label="",
-        )
-    ]
-)
-g.queue(concurrency_count=1)
-g.launch()