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.gitattributes

@@ -33,3 +33,7 @@ saved_model/**/* 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
+Store/vector_store.json filter=lfs diff=lfs merge=lfs -text
+docs/2022-alphabet-annual-report.pdf filter=lfs diff=lfs merge=lfs -text
+docs/Sandhar[[:space:]]tech[[:space:]]2023[[:space:]]annual[[:space:]]report.pdf filter=lfs diff=lfs merge=lfs -text
+index.json/vector_store.json filter=lfs diff=lfs merge=lfs -text

1

@@ -0,0 +1,45 @@
+from llama_index import SimpleDirectoryReader, GPTVectorStoreIndex, LLMPredictor, ServiceContext, StorageContext, load_indices_from_storage
+from langchain import OpenAI
+import gradio as gr
+import os
+import sys
+
+
+#Video that helped me debug code:
+#https://www.google.com/search?q=llama_index+GPTVectorStoreIndex.load_from_disk&sxsrf=AB5stBhdEaCyyzzr1fvXHEyR_S5tcpsYZw%3A1689355641558&ei=eYWxZKfZIffq1e8Pr5Kc8AU&ved=0ahUKEwjn-aeX3I6AAxV3dfUHHS8JB14Q4dUDCA8&uact=5&oq=llama_index+GPTVectorStoreIndex.load_from_disk&gs_lp=Egxnd3Mtd2l6LXNlcnAiLmxsYW1hX2luZGV4IEdQVFZlY3RvclN0b3JlSW5kZXgubG9hZF9mcm9tX2Rpc2syBxAhGKABGAoyBxAhGKABGApIm2ZQ4Q1YvGJwAXgBkAEAmAH4AaABuQaqAQUwLjEuM7gBA8gBAPgBAfgBAsICChAAGEcY1gQYsAPCAgQQIxgnwgINEAAYgAQYsQMYgwEYCsICBxAAGIAEGAriAwQYACBBiAYBkAYI&sclient=gws-wiz-serp#fpstate=ive&vld=cid:75e4eb00,vid:tU6EmusO43A
+
+os.environ["OPENAI_API_KEY"] = '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' 
+os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
+
+def construct_index(directory_path):
+    num_outputs = 512
+
+    llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.7, model_name="text-davinci-003", max_tokens=num_outputs))
+
+    service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor)
+
+    docs = SimpleDirectoryReader(directory_path).load_data()
+
+    index = GPTVectorStoreIndex.from_documents(docs, service_context=service_context)
+
+    #index.save_to_disk('index.json')
+    index.storage_context.persist(persist_dir = 'Store')
+
+    return index
+
+def chatbot(input_text):
+    #index = GPTVectorStoreIndex.load_from_disk('index.json')
+    storage_context = StorageContext.from_defaults(persist_dir = 'Store')
+    index = load_indices_from_storage(storage_context)
+    query_engine = index[0].as_query_engine()
+    response = query_engine.query(input_text)
+    #return response.response
+    return response
+
+iface = gr.Interface(fn=chatbot,
+                     inputs=gr.inputs.Textbox(lines=7, label="Enter your text"),
+                     outputs="text",
+                     title="Custom-trained AI Chatbot")
+
+index = construct_index("docs")
+iface.launch(share=True)

README.md

@@ -1,12 +1,6 @@
 ---
-title: Custom LLM
-emoji: 👀
-colorFrom: blue
-colorTo: pink
+title: Custom_LLM
+app_file: app2.py
 sdk: gradio
-sdk_version: 3.39.0
-app_file: app.py
-pinned: false
+sdk_version: 3.36.1
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Store/graph_store.json

@@ -0,0 +1 @@
+{"graph_dict": {}}

Store/index_store.json

@@ -0,0 +1 @@
+{"index_store/data": {"e3a12335-7dab-4e25-a06b-818e30f64c62": {"__type__": "vector_store", "__data__": "{\"index_id\": \"e3a12335-7dab-4e25-a06b-818e30f64c62\", \"summary\": null, \"nodes_dict\": {\"f397758f-74e2-4dd7-bd78-1d7676ac3a86\": \"f397758f-74e2-4dd7-bd78-1d7676ac3a86\", \"f06e7b36-1c51-4e30-94b4-2bf596d9df66\": \"f06e7b36-1c51-4e30-94b4-2bf596d9df66\", \"9b1ab043-d860-48b3-89a1-7faba52f193d\": \"9b1ab043-d860-48b3-89a1-7faba52f193d\", \"7f5620ac-d077-486d-9c9f-18d86827531a\": \"7f5620ac-d077-486d-9c9f-18d86827531a\", \"586a0ddd-8c18-4b81-9cd0-e20cf1005734\": \"586a0ddd-8c18-4b81-9cd0-e20cf1005734\", \"11b8357a-b62f-4a0c-961f-b5f97e68f82f\": \"11b8357a-b62f-4a0c-961f-b5f97e68f82f\", \"9419c830-891e-4646-b416-34a898e708eb\": \"9419c830-891e-4646-b416-34a898e708eb\", \"0cddb59d-0a5f-43d6-89a4-04988adab9d2\": \"0cddb59d-0a5f-43d6-89a4-04988adab9d2\", \"abbd2b8a-8efe-4432-9f92-78b1ccea1895\": \"abbd2b8a-8efe-4432-9f92-78b1ccea1895\", \"e474051b-3938-42d3-a8dd-1e621f5f11d2\": 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Store/vector_store.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ce741f444b0deba8dba4c25a55676d730ec71c0351f0a9bc354263796e9324f1
+size 18499348

app2.py

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+from llama_index import SimpleDirectoryReader, GPTVectorStoreIndex, LLMPredictor, ServiceContext, StorageContext, load_indices_from_storage
+from langchain import OpenAI
+import gradio as gr
+import os
+import sys
+
+
+#Video that helped me debug code:
+#https://www.google.com/search?q=llama_index+GPTVectorStoreIndex.load_from_disk&sxsrf=AB5stBhdEaCyyzzr1fvXHEyR_S5tcpsYZw%3A1689355641558&ei=eYWxZKfZIffq1e8Pr5Kc8AU&ved=0ahUKEwjn-aeX3I6AAxV3dfUHHS8JB14Q4dUDCA8&uact=5&oq=llama_index+GPTVectorStoreIndex.load_from_disk&gs_lp=Egxnd3Mtd2l6LXNlcnAiLmxsYW1hX2luZGV4IEdQVFZlY3RvclN0b3JlSW5kZXgubG9hZF9mcm9tX2Rpc2syBxAhGKABGAoyBxAhGKABGApIm2ZQ4Q1YvGJwAXgBkAEAmAH4AaABuQaqAQUwLjEuM7gBA8gBAPgBAfgBAsICChAAGEcY1gQYsAPCAgQQIxgnwgINEAAYgAQYsQMYgwEYCsICBxAAGIAEGAriAwQYACBBiAYBkAYI&sclient=gws-wiz-serp#fpstate=ive&vld=cid:75e4eb00,vid:tU6EmusO43A
+
+os.environ["OPENAI_API_KEY"] = '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' 
+os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
+
+def construct_index(directory_path):
+    num_outputs = 512
+
+    llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.7, model_name="text-davinci-003", max_tokens=num_outputs))
+
+    service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor)
+
+    docs = SimpleDirectoryReader(directory_path).load_data()
+
+    index = GPTVectorStoreIndex.from_documents(docs, service_context=service_context)
+
+    #index.save_to_disk('index.json')
+    index.storage_context.persist(persist_dir = 'Store')
+
+    return index
+
+def chatbot(input_text):
+    #index = GPTVectorStoreIndex.load_from_disk('index.json')
+    storage_context = StorageContext.from_defaults(persist_dir = 'Store')
+    index = load_indices_from_storage(storage_context)
+    query_engine = index[0].as_query_engine()
+    response = query_engine.query(input_text)
+    #return response.response
+    return response
+
+iface = gr.Interface(fn=chatbot,
+                     inputs=gr.inputs.Textbox(lines=7, label="Enter your text"),
+                     outputs="text",
+                     title="Custom-trained AI Chatbot")
+
+index = construct_index("docs")
+iface.launch(share=True)

docs/2022-alphabet-annual-report.pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4481519a39f8c9f460eda47e2175bcdb709446cc403da6dee6892b4adb9a4714
+size 10207990

docs/Sandhar tech 2023 annual report.pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:28614d1acffbb3f05458854d8f9c1d6539c6aeb48c5f9c0d39b45784aba5cbe9
+size 3906224

index.json/graph_store.json

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+{"graph_dict": {}}

index.json/index_store.json

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index.json/vector_store.json

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