Update app.py

app.py

@@ -1,3 +1,100 @@
+# import gradio as gr
+# from huggingface_hub import InferenceClient
+
+# # Initialize the client with your desired model
+# client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+# # Define the system prompt as an AI Dermatologist
+# def format_prompt(message, history):
+#     prompt = "<s>"
+#     # Start the conversation with a system message
+#     prompt += "[INST] You are an AI Dermatologist chatbot designed to assist users with skin and hair care by only providing text and if user information is not provided related to skin or hair then ask what they want to know related to skin and hair.[/INST]"
+#     for user_prompt, bot_response in history:
+#         prompt += f"[INST] {user_prompt} [/INST]"
+#         prompt += f" {bot_response}</s> "
+#     prompt += f"[INST] {message} [/INST]"
+#     return prompt
+
+# # Function to generate responses with the AI Dermatologist context
+# def generate(
+#     prompt, history, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0
+# ):
+#     temperature = float(temperature)
+#     if temperature < 1e-2:
+#         temperature = 1e-2
+#     top_p = float(top_p)
+
+#     generate_kwargs = dict(
+#         temperature=temperature,
+#         max_new_tokens=max_new_tokens,
+#         top_p=top_p,
+#         repetition_penalty=repetition_penalty,
+#         do_sample=True,
+#         seed=42,
+#     )
+
+#     formatted_prompt = format_prompt(prompt, history)
+
+#     stream = client.text_generation(
+#         formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False
+#     )
+#     output = ""
+
+#     for response in stream:
+#         output += response.token.text
+#         yield output
+#     return output
+
+# # Customizable input controls for the chatbot interface
+# additional_inputs = [
+#     gr.Slider(
+#         label="Temperature",
+#         value=0.9,
+#         minimum=0.0,
+#         maximum=1.0,
+#         step=0.05,
+#         interactive=True,
+#         info="Higher values produce more diverse outputs",
+#     ),
+#     gr.Slider(
+#         label="Max new tokens",
+#         value=256,
+#         minimum=0,
+#         maximum=1048,
+#         step=64,
+#         interactive=True,
+#         info="The maximum numbers of new tokens",
+#     ),
+#     gr.Slider(
+#         label="Top-p (nucleus sampling)",
+#         value=0.90,
+#         minimum=0.0,
+#         maximum=1,
+#         step=0.05,
+#         interactive=True,
+#         info="Higher values sample more low-probability tokens",
+#     ),
+#     gr.Slider(
+#         label="Repetition penalty",
+#         value=1.2,
+#         minimum=1.0,
+#         maximum=2.0,
+#         step=0.05,
+#         interactive=True,
+#         info="Penalize repeated tokens",
+#     )
+# ]
+
+# # Define the chatbot interface with the starting system message as AI Dermatologist
+# gr.ChatInterface(
+#     fn=generate,
+#     chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, layout="panel"),
+#     additional_inputs=additional_inputs,
+#     title="AI Dermatologist"
+# ).launch(show_api=False)
+
+# # Load your model after launching the interface
+# gr.load("models/Bhaskar2611/Capstone").launch()
 import gradio as gr
 from huggingface_hub import InferenceClient
 
@@ -15,21 +112,6 @@ def format_prompt(message, history):
     prompt += f"[INST] {message} [/INST]"
     return prompt
 
-# def format_prompt(message, history):
-#     prompt = "<s>"
-#     # Add the system instruction
-#     prompt += "[INST] You are an AI Dermatologist chatbot designed to assist users with skin and hair care by only providing text. "
-#     prompt += "If the user hasn't provided sufficient information, ask them what they want to know related to skin and hair. [/INST]"
-    
-#     # Optionally include history (if relevant for the conversation context)
-#     for user_input, bot_response in history:
-#         prompt += f" {bot_response}"  # Only include bot responses, not user inputs
-    
-#     # Append the user's latest message to generate a response, but do not include it in the final prompt
-#     prompt += f" {message}"
-    
-#     return prompt
-
 # Function to generate responses with the AI Dermatologist context
 def generate(
     prompt, history, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0
@@ -61,7 +143,7 @@ def generate(
     return output
 
 # Customizable input controls for the chatbot interface
-additional_inputs = [
+Settings = [
     gr.Slider(
         label="Temperature",
         value=0.9,
@@ -104,7 +186,7 @@ additional_inputs = [
 gr.ChatInterface(
     fn=generate,
     chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, layout="panel"),
-    additional_inputs=additional_inputs,
+    additional_inputs= Settings,
     title="AI Dermatologist"
 ).launch(show_api=False)