Delete app.py

app.py

@@ -1,78 +0,0 @@
-import os
-import gradio as gr
-from huggingface_hub import InferenceClient
-import requests
-
-# Define the file path and URL
-model_filename = "AstroSage-8B-Q8.0.gguf"
-model_url = "https://huggingface.co/AstroMLab/AstroSage-8B-GGUF/resolve/main/AstroSage-8B-Q8.0.gguf"
-
-# Check if the model file exists locally; if not, download it
-if not os.path.exists(model_filename):
-    print(f"{model_filename} not found. Downloading...")
-    response = requests.get(model_url, stream=True)
-    response.raise_for_status()  # Check for any download errors
-    with open(model_filename, "wb") as f:
-        for chunk in response.iter_content(chunk_size=8192):
-            f.write(chunk)
-    print(f"Downloaded {model_filename} successfully.")
-
-# Initialize the InferenceClient with the local file path
-client = InferenceClient(model_filename)
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-# Gradio Chat Interface
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(
-            value="Assume the role of AstroSage, a helpful chatbot designed to answer user queries about astronomy, astrophysics, and cosmology.",
-            label="System message",
-        ),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-if __name__ == "__main__":
-    demo.launch()