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Update app.py
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app.py
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from huggingface_hub import InferenceClient
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import gradio as gr
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import random
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client=InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def respond(message, history):
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messages = [
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{"role":"system",
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from huggingface_hub import InferenceClient
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#STEP 1 from Semantic Search (import libraries)
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from sentence_transformers import SentenceTransformer
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import torch
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import gradio as gr
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import random
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client=InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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#STEP 2 from semantic search (read file)
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# Open the water_cycle.txt file in read mode with UTF-8 encoding
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with open("water_cycle.txt", "r", encoding="utf-8") as file:
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# Read the entire contents of the file and store it in a variable
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water_cycle_text = file.read()
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# Print the text below
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print(water_cycle_text)
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def respond(message, history):
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messages = [
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{"role":"system",
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