Update app.py

app.py

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+from ctransformers import AutoModelForCausalLM
+import gradio as gr
+
+greety = """
+As a derivate work of [Linkedin Automation System](https://medium.com/@gathnex) by Gathnex,
+Follow us on [linkedin](https://www.linkedin.com/company/gathnex/) and [Github](https://github.com/gathnexadmin). A special thanks to the Gathnex team members who made a significant contribution to this project.
+"""
+
+llm = AutoModelForCausalLM.from_pretrained("zephyr-7b-beta.Q4_K_S.gguf",
+model_type='mistral',
+max_new_tokens = 1096,
+threads = 3,
+)
+
+def stream(user_prompt):
+    system_prompt = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.'
+    E_INST = "</s>"
+    user, assistant = "<|user|>", "<|assistant|>"
+    prompt = f"{system_prompt}{E_INST}\n{user}\n{user_prompt.strip()}{E_INST}\n{assistant}\n"
+    for text in llm(prompt, stream=True, threads=3):
+        print(text, end="", flush=True)
+
+css = """
+  h1 {
+  text-align: center;
+}
+#duplicate-button {
+  margin: auto;
+  color: white;
+  background: #1565c0;
+  border-radius: 100vh;
+}
+.contain {
+  max-width: 900px;
+  margin: auto;
+  padding-top: 1.5rem;
+}
+"""
+
+chat_interface = gr.ChatInterface(
+    fn=stream,
+    additional_inputs_accordion_name = "Credentials",
+    #additional_inputs=[
+    #     gr.Textbox(label="OpenAI Key", lines=1),
+    #     gr.Textbox(label="Linkedin Access Token", lines=1),
+    ],
+    stop_btn=None,
+    examples=[
+        ["explain Large language model"],
+        ["what is quantum computing"]
+    ],
+)
+
+with gr.Blocks(css=css) as demo:
+    gr.HTML("<h1><center>Gathnex Linkedin Automation using Generative AI<h1><center>")
+    gr.HTML("<h3><center><a href='https://medium.com/@gathnex'>Gathnex AI</a>💬<h3><center>")
+    gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
+    chat_interface.render()
+    gr.Markdown(greety)
+    
+if __name__ == "__main__":
+    demo.queue(max_size=10).launch()