Update app.py

app.py

@@ -10,23 +10,26 @@ HF_TOKEN = os.environ.get("HF_TOKEN", None)
 USER_NAME = os.environ.get("USER_NAME", None)
 APP_PASSWORD = os.environ.get("APP_PASSWORD", None)
 
-API_URL = "https://api-inference.huggingface.co/models/tiiuae/falcon-180B-chat"
-BOT_NAME = "Falcon"
+def get_API(API_URL):
+    client = InferenceClient(
+    API_URL,
+    headers={"Authorization": f"Bearer {HF_TOKEN}"},
+    )
+    return client
+
+def get_BOT(BOT_NAME):
+    return BOT_NAME
 
 STOP_SEQUENCES = ["\nUser:", "<|endoftext|>", " User:", "###"]
 
 EXAMPLES = [
-    ["圖書館與家相距864 m。爸爸以0.7 m/s的平均速率從圖書館沿一直路步行回家。同一時間，子琪以0.5 m/s的平均速率從家步向圖書館。兩人會在多少分鐘後相遇？請先將問題中的數據列表出來 用詳細的步驟方式回覆 "],
-    ["圖書館與家相距864 m。爸爸以0.7 m/s的平均速率從圖書館沿一直路步行回家。同一時間，子琪以0.5 m/s的平均速率從家步向圖書館。兩人會在多少分鐘後相遇？請用詳細的步驟方式回覆。"],
-    ["What is the history of The Education University of Hong Kong?"],
-    ["Can you tell me more about deep-water soloing?"],
-    ["Can you write a short tweet about the release of our latest AI model, Falcon LLM?"]
+    ["Please explain me about machine learning"],
+    ["Do you know about python programming? Please create simple application for me."],
+    ["What is the history of AI?"],
+    ["Can you tell me more about Data Science?"],
+    ["Can you write a short tweet about the release of our latest AI model, Falcon 180B LLM?"]
     ]
 
-client = InferenceClient(
-    API_URL,
-    headers={"Authorization": f"Bearer {HF_TOKEN}"},
-)
 
 def format_prompt(message, history, system_prompt):
   prompt = ""
@@ -34,9 +37,9 @@ def format_prompt(message, history, system_prompt):
     prompt += f"System: {system_prompt}\n"
   for user_prompt, bot_response in history:
     prompt += f"User: {user_prompt}\n"
-    prompt += f"Falcon: {bot_response}\n" # Response already contains "Falcon: "
+    prompt += f"GuruAI: {bot_response}\n" # Response already contains "GuruAI: "
   prompt += f"""User: {message}
-Falcon:"""
+GuruAI:"""
   return prompt
 
 seed = 42
@@ -120,28 +123,21 @@ additional_inputs=[
 with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column(scale=0.4):
-            gr.Image("better_banner.jpeg", elem_id="banner-image", show_label=False)
+            gr.Image("https://padek.jawapos.com/wp-content/uploads/2022/10/861213472.jpg", elem_id="banner-image", show_label=False)
         with gr.Column():
             gr.Markdown(
                 """
-                # Falcon-180B x EDUHK AIDCEC 
-                💓 “Falcon-180B x EDUHK AIDCEC" is built using Falcon LLM technology from the Technology Innovation Institute. 
-
-                **Chat with [Falcon-180B-Chat](https://huggingface.co/tiiuae/falcon-180b-chat), brainstorm ideas, discuss your holiday plans, and more!**
-                
-                ✨ This is powered by [Falcon-180B](https://huggingface.co/tiiuae/falcon-180B) and finetuned on a mixture of [Ultrachat](https://huggingface.co/datasets/stingning/ultrachat), [Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus) and [Airoboros](https://huggingface.co/datasets/jondurbin/airoboros-2.1). [Falcon-180B](https://huggingface.co/tiiuae/falcon-180b) is a state-of-the-art large language model built by the [Technology Innovation Institute](https://www.tii.ae) in Abu Dhabi. 
-
-                💁It is trained on 3.5 trillion tokens (including [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb)) and available under the [Falcon-180B TII License](https://huggingface.co/spaces/tiiuae/falcon-180b-license/blob/main/LICENSE.txt). 
-
-                🧪 Falcon in the futuremay improved datasets.
-                
-                👀 **Learn more about Falcon LLM:** [falconllm.tii.ae](https://falconllm.tii.ae/)
-                
-                ➡️️ **Intended Use**: this demo is intended to showcase an early finetuning of [Falcon-180B](https://huggingface.co/tiiuae/falcon-180b), to illustrate the impact (and limitations) of finetuning on a dataset of conversations and instructions. They encourage the community to further build upon the base model, and to create even better instruct/chat versions!
-                
+                # GuruAI 
+                This is AI as Teacher, It will teach you about anything.
                 ⚠️ **Limitations**: the model can and will produce factually incorrect information, hallucinating facts and actions. As it has not undergone any advanced tuning/alignment, it can produce problematic outputs, especially if prompted to do so. Finally, this demo is limited to a session length of about 1,000 words.
+
+                Example:
+                API_URL = "https://api-inference.huggingface.co/models/tiiuae/falcon-180B-chat" BOT_NAME = "Falcon"
                 """
             )
+            
+            input_API = gr.Interface(fn=get_API, inputs="text", outputs="text")
+            input_BOT = gr.Interface(fn=get_BOT, inputs="text", outputs="text")
 
     gr.ChatInterface(
         generate,