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README.md

@@ -1,12 +1,13 @@
 ---
-title: QuestionMyDoc
-emoji: 🚀
-colorFrom: purple
-colorTo: red
+title: TalkToMyDoc Hitch Hikers Guide
+emoji: 🐠
+colorFrom: blue
+colorTo: green
 sdk: gradio
-sdk_version: 3.41.2
+sdk_version: 3.27.0
 app_file: app.py
 pinned: false
+license: openrail
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.vectorstores import Chroma
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.chains.question_answering import load_qa_chain
+from langchain.llms import OpenAI
+import os
+import gradio as gr
+
+with open("guide1.txt") as f:
+    hitchhikersguide = f.read()
+
+text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=100, separator = "\n")
+texts = text_splitter.split_text(hitchhikersguide)
+embeddings = OpenAIEmbeddings()
+docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever()
+chain = load_qa_chain(OpenAI(temperature=0), chain_type="stuff")
+
+def make_inference(query):
+    docs = docsearch.get_relevant_documents(query)
+    return(chain.run(input_documents=docs, question=query))
+
+if __name__ == "__main__":
+    gr.Interface(
+        make_inference,
+        [
+            gr.inputs.Textbox(lines=2, label="Query"),
+        ],
+        gr.outputs.Textbox(label="Response"),
+        title="QuestionMyDoc",
+        description="QuestionMyDoc is a tool that allows you to ask questions about a document. In this case - Hitch Hitchhiker's Guide to the Galaxy.",
+    ).launch()

requirements.txt

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+langchain
+openai
+tiktoken
+chromadb