Duplicate from Saurabh46/MyChatGPT-DEMO

Co-authored-by: Dubey <[email protected]>

.gitattributes

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+Highway[[:space:]]Traffic[[:space:]]Act.pdf filter=lfs diff=lfs merge=lfs -text
+trainingData/Environment[[:space:]]Protection[[:space:]]Act.pdf filter=lfs diff=lfs merge=lfs -text
+trainingData/Water[[:space:]]Resource[[:space:]]Act.pdf filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: MyChatGPT DEMO
+emoji: ⚡
+colorFrom: red
+colorTo: red
+sdk: gradio
+sdk_version: 3.39.0
+app_file: app.py
+pinned: false
+duplicated_from: Saurabh46/MyChatGPT-DEMO
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from llama_index import GPTVectorStoreIndex, SimpleDirectoryReader, LLMPredictor, ServiceContext, StorageContext, load_index_from_storage
+from langchain import OpenAI
+import gradio
+import os
+
+os.environ["OPENAI_API_KEY"] = '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'
+
+def construct_index(directory_path):
+    num_outputs = 512
+
+    _llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.7, model_name="gpt-3.5-turbo", 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.storage_context.persist(persist_dir="indexes")
+
+    return index
+
+def chatbot(input_text):
+    
+    storage_context = StorageContext.from_defaults(persist_dir="indexes")
+     
+    query_engne = load_index_from_storage(storage_context).as_query_engine()
+    
+    response = query_engne.query(input_text)
+    
+    return response.response
+
+iface = gradio.Interface(fn=chatbot,
+                     inputs=gradio.inputs.Textbox(lines=4, label="Enter your question here"),
+                     outputs=gradio.outputs.Textbox(label="Generated Text"),
+                     title="My Custom trained AI Chatbot")
+
+index = construct_index("trainingData")
+
+iface.launch()

requirements.txt

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+gpt-index
+pypdf
+nltk

trainingData/Environment Protection Act.pdf

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trainingData/Highway Traffic Act.pdf

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trainingData/Water Resource Act.pdf

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