Duplicate from enadewan/ASK_FREDDY

.gitattributes

@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,13 @@
+---
+title: ASK FREDDY
+emoji: 🚀
+colorFrom: red
+colorTo: gray
+sdk: gradio
+sdk_version: 3.38.0
+app_file: app.py
+pinned: false
+duplicated_from: enadewan/ASK_FREDDY
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,41 @@
+
+
+from langchain.memory import ConversationBufferMemory
+from langchain.vectorstores.faiss import FAISS
+import os
+from langchain.memory import ConversationBufferMemory
+from langchain.chains import ConversationalRetrievalChain
+import pandas as pd
+import numpy as np
+from langchain.embeddings import HuggingFaceEmbeddings
+from langchain import HuggingFaceHub
+from typing import Any, Dict, List
+embeddings = HuggingFaceEmbeddings()
+HUGGINGFACEHUB_API_TOKEN='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'
+new_vectorstore = FAISS.load_local("./faiss_docs_index", embeddings)
+llm = HuggingFaceHub(repo_id="declare-lab/flan-alpaca-large", model_kwargs={"temperature": 0.1, "max_length": 512},huggingfacehub_api_token= "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")
+
+
+# Front end web app
+import gradio as gr
+with gr.Blocks() as demo:
+    
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox("Ask Freddy")
+    clear = gr.Button("Clear")
+    chat_history = []
+
+    def user(user_message, history):
+        # Get response from QA chain
+        memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True, output_key='answer')
+        qa=ConversationalRetrievalChain.from_llm( llm=llm ,retriever=new_vectorstore.as_retriever(search_kwargs={"k":1, "include_metadata": True}),chain_type="refine",memory=memory,return_source_documents=True)        
+        result = qa({"question": user_message,"chat_history": chat_history})
+        myresponse=result['answer']
+        # Append user message and response to chat history
+        chat_history.append((user_message, myresponse))
+        return gr.update(value=""), chat_history
+    msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False)
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+if __name__ == "__main__":
+    demo.launch(debug=True,share=False)

faiss_docs_index/index.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f30d6613a8e831374d304c440a3f7b4f78fd20f27ff208b6faa3ac9d802ea055
+size 205087

requirements.txt

@@ -0,0 +1,6 @@
+langchain
+pandas
+faiss-cpu
+huggingface_hub
+sentence-transformers 
+gradio