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README.md

@@ -1,12 +1,6 @@
 ---
-title: OperativeIQ Chatbot Demo
-emoji: ⚡
-colorFrom: pink
-colorTo: blue
+title: OperativeIQ_Chatbot_Demo
+app_file: app.py
 sdk: gradio
 sdk_version: 3.45.2
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
+from langchain.chat_models import ChatOpenAI
+import gradio as gr
+import sys
+import os
+
+os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
+#os.environ["OPENAI_API_KEY"] = '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'
+
+def chatbot(input_text):
+    index = GPTSimpleVectorIndex.load_from_disk('index.json')
+    response = index.query(input_text)
+    return response.response
+
+iface = gr.Interface(fn=chatbot,
+                     inputs=gr.components.Textbox(lines=5, label="Enter your text", show_copy_button=True),
+                     outputs=gr.components.Textbox(lines=5, label="Answer", show_copy_button=True),
+                     examples=["How to perform asset audit?", "What is Cycle count?", "How to print RFID tags?"],
+                     title="OperativeIQ RFID Training AI Chatbot")
+iface.launch(share=True)

requirements.txt

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+gpt_index==0.4.24
+langchain==0.0.118
+PyPDF2==3.0.1
+pycryptodome==3.18.0