2nd missed some stuff

README.md

@@ -5,6 +5,6 @@ colorFrom: indigo
 colorTo: blue
 sdk: gradio
 sdk_version: "4.38.0"
-app_file: space_app.py
+app_file: app_storefront.py
 pinned: false
 ---

space_app.py

@@ -1,41 +0,0 @@
-import os
-import gradio as gr
-from transformers import pipeline
-
-MODEL_NAME = os.getenv("HF_MODEL_GENERATION", "distilgpt2")
-
-_pipe = None
-def _get_pipe():
-    global _pipe
-    if _pipe is None:
-        _pipe = pipeline("text-generation", model=MODEL_NAME)
-    return _pipe
-
-def chat_fn(message, max_new_tokens=128, temperature=0.8, top_p=0.95):
-    message = (message or "").strip()
-    if not message:
-        return "Please type something!"
-    pipe = _get_pipe()
-    out = pipe(
-        message,
-        max_new_tokens=int(max_new_tokens),
-        do_sample=True,
-        temperature=float(temperature),
-        top_p=float(top_p),
-        pad_token_id=50256
-    )
-    return out[0]["generated_text"]
-
-with gr.Blocks(title="Agentic-Chat-bot") as demo:
-    gr.Markdown("# 🤖 Agentic Chat Bot\nGradio + Transformers demo")
-    prompt = gr.Textbox(label="Prompt", placeholder="Ask me anything…", lines=4)
-    out = gr.Textbox(label="Response", lines=6)
-    max_new = gr.Slider(32, 512, 128, 1, label="Max new tokens")
-    temp = gr.Slider(0.1, 1.5, 0.8, 0.05, label="Temperature")
-    topp = gr.Slider(0.1, 1.0, 0.95, 0.05, label="Top-p")
-    btn = gr.Button("Send")
-    btn.click(chat_fn, [prompt, max_new, temp, topp], out)
-    prompt.submit(chat_fn, [prompt, max_new, temp, topp], out)
-
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=int(os.getenv("PORT", "7860")))