Update app.py

app.py

@@ -1,11 +1,20 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import chromadb
+from chromadb.config import Settings
 
-"""
-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")
+# Initialize ChromaDB client
+client_db = chromadb.Client(Settings(chroma_db_impl="duckdb+parquet", persist_directory="path/to/your/chromadb"))
 
+# Load your collection
+collection = client_db.get_collection("your_collection_name")
+
+# Initialize the Hugging Face Inference Client
+inference_client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+def retrieve_from_chromadb(query):
+    results = collection.query(query=query, n_results=5)  # Adjust n_results as needed
+    return results['documents']
 
 def respond(
     message,
@@ -15,19 +24,25 @@ def respond(
     temperature,
     top_p,
 ):
+    # Prepare messages for the model
     messages = [{"role": "system", "content": system_message}]
 
+    # Add conversation history
     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})
+    # Retrieve relevant documents from ChromaDB
+    retrieved_docs = retrieve_from_chromadb(message)
+    context = "\n".join(retrieved_docs) + "\nUser: " + message
+    messages.append({"role": "user", "content": context})
 
     response = ""
 
-    for message in client.chat_completion(
+    # Generate response using the Inference Client
+    for message in inference_client.chat_completion(
         messages,
         max_tokens=max_tokens,
         stream=True,
@@ -35,14 +50,10 @@ def respond(
         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
-"""
+# Gradio Chat Interface
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
@@ -59,6 +70,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()