test calling demo from private repo

app.py

@@ -1,44 +1,8 @@
+import os
 import gradio as gr
 
-from langchain_core.messages import HumanMessage, SystemMessage
-from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
-
-import os
 HF_Hub_API_token = os.environ.get('HF_Hub_API_token', None)
+import gradio as gr
 
-llm = HuggingFaceEndpoint(
-    repo_id="mistralai/Mistral-7B-Instruct-v0.2",
-    task="text-generation",
-    max_new_tokens=128,
-    do_sample=False,
-    repetition_penalty=1.03,
-    huggingfacehub_api_token=HF_Hub_API_token
-)
-
-chat_model = ChatHuggingFace(llm=llm)
-
-MAX_LEN = 100
-def gen_prompt1(title):
-    prompt1 = title
-    formatted_str = ''
-    if len(title) > 0:
-        messages = [HumanMessage(content=prompt1),]
-        res = chat_model.invoke(messages)
-        # censure
-        for s in res.content.split('\n'):
-            if len(s) > MAX_LEN:
-                s = s[:MAX_LEN] + " (...)"
-            formatted_str += s + '\n'
-
-        return formatted_str #res.content
-
-example_title = "Mary had a little lamb"
-
-demo = gr.Interface(
-    fn=gen_prompt1,
-    inputs=gr.Textbox(label = "Introduction", show_label=True),
-    outputs=["text"],
-    examples=[example_title]
-)
-
+demo = gr.load("gaelhuser/patent_gen_prv", hf_token=HF_Hub_API_token, src="spaces")
 demo.launch()