Update app.py

app.py

@@ -1,63 +1,87 @@
+import os
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-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
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", 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)",
-        ),
-    ],
+from anthropic import Anthropic
+from pypdf import PdfReader
+
+# Add the path to your desired knowledge base
+reference_document = "" 
+reader = PdfReader(reference_document)
+text = ''.join(page.extract_text() for page in reader.pages)
+
+# Anthropic API setup
+ANTHROPIC_API_KEY = 
+os.environ["ANTHROPIC_API_KEY"] = ANTHROPIC_API_KEY
+
+def chat_with_assistant(message, history):
+    history_str = "\n".join([f"Human: {h[0]}\nAssistant: {h[1]}" for h in history])
+    
+    ai_message = f"""You are an AI assistant answering questions based on a reference document. 
+    You provide short, clear answers with simple language.
+    Use the following text as context for all of your answers:
+
+    {text}
+
+    Previous conversation history:
+    {history_str}
+    """
+
+    # Add your desired instructions
+    
+    instructions = """
+    
+    """ 
+    
+    system_prompt = f"{ai_message} {instructions}"
+
+    client = Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
+    
+    response = client.messages.create(
+        model="claude-3-5-sonnet-20240620",
+      # model="claude-3-haiku-20240307",
+        max_tokens=500,
+        system=system_prompt,
+        messages=[
+            {"role": "user", "content": message}
+        ]
+    )
+    
+    return response.content[0].text.strip()
+
+# CSS for an Anthropic-looking style
+anthropic_theme = gr.themes.Default().set(
+    body_background_fill="#FAF9F6",  # Light beige background
+    block_background_fill="#FFFFFF",  # White for input blocks
+    block_title_text_color="#4A4A4A",  # Dark gray for text
+    block_label_background_fill="#F6E3CE",  # Very light orange for labels
+    input_background_fill="#FFFFFF",  # White for input fields
+    button_primary_background_fill="#D97758",  # Anthropic orange for primary buttons
+    button_primary_background_fill_hover="#8A2BE2",  # Darker orange for hover
+    button_primary_text_color="#FFFFFF",  # White text on buttons
+    button_secondary_background_fill="#F5D0A9",  # Light orange for secondary buttons
+    button_secondary_background_fill_hover="#F5D0A9",  # Slightly darker orange for hover
+    button_secondary_text_color="#4A4A4A",  # Dark gray text for secondary buttons
+    block_border_width="1px",
+    block_border_color="#E0E0E0",  # Light gray border
 )
 
+# Gradio interface
+iface = gr.ChatInterface(
+    chat_with_assistant,
+    chatbot=gr.Chatbot(height=500),
+    textbox=gr.Textbox(placeholder="Type your message here...", container=False, scale=7),
+
+# Change name and description as desired
+    title="Claude Custom Assistant",
+    description="Chat with an AI assistant powered by Claude 3.5 Sonnet, customs instructions, and a reference document",
+    theme=anthropic_theme,
+    css=custom_css,
+
+# Change examples as desired
+    examples=["What are the key ingredients of a well-planned lesson?", "What might be barriers to learning?", "How does learning happen in the classroom?"],
+    cache_examples=True,
+    retry_btn=None,
+    undo_btn="Delete Previous",
+    clear_btn="Clear",
+)
 
-if __name__ == "__main__":
-    demo.launch()
+iface.launch(share=True)