Create app.py

app.py

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+import streamlit as st
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/TaylorAI/gte-tiny"
+headers = {"Authorization": "Bearer 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"}
+
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+st.title("GTE Chat App")
+
+# Create a text input for the user to enter their message
+message = st.text_input("Enter your message:")
+
+# Create a button to trigger the chatbot response
+button = st.button("Send")
+
+# When the button is clicked, call the query function with the user's message as the payload
+if button:
+    output = query({
+        "inputs": {
+            "source_sentence": message,
+            "sentences": [
+                "That is a happy dog",
+                "That is a very happy person",
+                "Today is a sunny day"
+            ]
+        },
+    })
+
+    # Print the chatbot's response
+    st.write(output)